WEBVTT - Cloud Computing Overview: Part One

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<v Speaker 1>Get in touch with technology with tech Stuff from how

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<v Speaker 1>stuff Works dot com. Hey there, and welcome to tech Stuff.

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<v Speaker 1>I'm your host, Jonathan Strickland. I'm an executive producer with

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<v Speaker 1>hell Stuff Works, and I love all things tech and

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<v Speaker 1>this is another bonus episode from Sunny Las Vegas. Nevada,

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<v Speaker 1>or I should say Nevada. I've been informed that is

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<v Speaker 1>the preferred pronunciation among the locals here. I just pronounced

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<v Speaker 1>it the way most people pronounce it. So I apologize

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<v Speaker 1>if I fall by the wayside yet again. But yes,

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<v Speaker 1>I am here attending sweet World eighteen is a big

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<v Speaker 1>cloud computing conference, and uh, I just wanted to start

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<v Speaker 1>producing some episodes while I'm here. This is one of

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<v Speaker 1>those special things where when I go to events and conferences,

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<v Speaker 1>my goal is to give you guys more of the

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<v Speaker 1>stuff you like. So I'm gonna drop a few episodes

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<v Speaker 1>this week. Hopefully, uh you'll get them as the week

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<v Speaker 1>goes on. There's going to be one today about cloud computing.

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<v Speaker 1>But I also plan on doing specific ones about net

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<v Speaker 1>sweet That is the organization that throws Sweet World every year.

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<v Speaker 1>An Oracle, which is net sweets parent company, Oracle purchased

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<v Speaker 1>net Suite, a couple of years ago, and so I'm

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<v Speaker 1>going to cover those as well as well as maybe

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<v Speaker 1>any other kind of cool topics that I happened to

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<v Speaker 1>encounter while I'm here at the conference. So far, it's

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<v Speaker 1>been kind of an overview, So that's where I'm going

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<v Speaker 1>with UH for now. And I've I've talked about cloud

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<v Speaker 1>computing in the past. Um I've I've covered it a

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<v Speaker 1>couple of times on tech stuff, but it kind of

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<v Speaker 1>bears going over again because it's one of those big

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<v Speaker 1>buzzword terms that I think a lot of people have

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<v Speaker 1>heard and most people, I think, by this point have

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<v Speaker 1>a fairly good grasp of what it's all about. But

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<v Speaker 1>there's still some confusion out there, and I kind of

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<v Speaker 1>want to clear that up. So we're gonna talk about

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<v Speaker 1>what exactly is cloud computing, How did cloud computing evolve

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<v Speaker 1>over time, because the idea is pretty old, why is

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<v Speaker 1>it such a big business, and and how does it

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<v Speaker 1>actually work? What's going on there? Well, first things first,

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<v Speaker 1>cloud computing is a very broad term. It covers an

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<v Speaker 1>enormous number of different offerings and services, but in general,

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<v Speaker 1>it's a method of delivering services over a network, essentially

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<v Speaker 1>allowing people to access a computer that does not belong

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<v Speaker 1>to them in order to do something. Now that something

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<v Speaker 1>could be storing information, it could be processing information. It

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<v Speaker 1>could be uh developing an app, it could be all

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<v Speaker 1>sorts of stuff, and we'll cover a lot of that

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<v Speaker 1>in this episode. But your computer, the one that you

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<v Speaker 1>are using to connect to the service, is not doing

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<v Speaker 1>the work. In fact, it could be a very bare

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<v Speaker 1>bones computer. That's the basis behind some of the very

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<v Speaker 1>weight notebook computers like chromebooks. The idea is that you

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<v Speaker 1>really don't need to have a lot of bells and

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<v Speaker 1>whistles in the laptop itself because you can access all

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<v Speaker 1>the applications and services that you require using the Internet,

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<v Speaker 1>and some other computer out there in the great, big

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<v Speaker 1>scary world is doing all the work for you, so

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<v Speaker 1>your computer doesn't have to. That is in some ways

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<v Speaker 1>a big benefit to the end user because it can

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<v Speaker 1>really cut down on your upfront costs. Right because if

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<v Speaker 1>you are just going out to buy a very simple computer,

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<v Speaker 1>one that does not have an incredibly powerful processor or

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<v Speaker 1>a whole lot of storage space or whatever, then the

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<v Speaker 1>price can be lower. It doesn't have to be as

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<v Speaker 1>big a ticket item for you when you go out

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<v Speaker 1>there and purchase it. On the flip side, a lot

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<v Speaker 1>of these services end up being subscription based services, so

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<v Speaker 1>you're paying to use the service in some way. Some

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<v Speaker 1>of them are add based rather than fee based, so

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<v Speaker 1>you're still technically generating revenue, but you're doing it by

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<v Speaker 1>looking at ads as opposed to paying a subscription service.

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<v Speaker 1>But in a long term, over a really long use

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<v Speaker 1>case scenario, it could be argued that you're a little,

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<v Speaker 1>you know, lightweight chromebook kind of of computer. Cost more

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<v Speaker 1>than if you had purchased a computer with native software

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<v Speaker 1>stored on it, but you would have less capabilities as well.

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<v Speaker 1>Now I'm going to cover all of this and more

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<v Speaker 1>detailed throughout this episode, so just know the cloud computing

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<v Speaker 1>it's a it's a pretty big deal. It's it's not

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<v Speaker 1>just big as in it makes huge amounts of money.

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<v Speaker 1>I mean, there's a multibillion dollar industry. But it's a

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<v Speaker 1>big deal because it covers so much ground as far

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<v Speaker 1>as the features that can be grouped under a cloud computing. Now,

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<v Speaker 1>the cloud computing model as you take advantage of another

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<v Speaker 1>computer's capabilities to bolster your own, and like I said,

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<v Speaker 1>the service could be as simple as cloud storage. That

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<v Speaker 1>just means that you're storing files on some other computer

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<v Speaker 1>systems somewhere. Typically that would be in some sort of

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<v Speaker 1>huge data center, and normally that would mean the files

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<v Speaker 1>were actually on multiple computers throughout the data center, not

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<v Speaker 1>just one, and that's for the purposes of redundancy. That way,

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<v Speaker 1>if one of those computers should fail, you can still

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<v Speaker 1>access your files. So if you were to visit one

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<v Speaker 1>of these giant data centers, first of all, you would

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<v Speaker 1>noticed that the air conditioning system is on overdrive to

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<v Speaker 1>keep the computers cool enough to operate at maximum efficiency.

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<v Speaker 1>You would also notice just row upon row upon row

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<v Speaker 1>of server stacks, and each of those servers would represent

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<v Speaker 1>a device that could be processing information or storing information

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<v Speaker 1>for customers and your own personal photos. Let's say that

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<v Speaker 1>you're visiting the data center that belongs to the company

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<v Speaker 1>that offers up an online photo album service that you use.

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<v Speaker 1>You would probably discover, if such a thing were possible,

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<v Speaker 1>that your photos existed on multiple computers within that data center,

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<v Speaker 1>and multiple copies of each photo would be on different

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<v Speaker 1>uh would be within that data center, they would be

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<v Speaker 1>on different servers, not multiple copies on the same server,

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<v Speaker 1>but a copy might be on server A, and another

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<v Speaker 1>one might be on server M, and another one might

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<v Speaker 1>be on server B seventeen, that kind of thing. And

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<v Speaker 1>the whole purpose of that is if one of those

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<v Speaker 1>machines should fail, you would be able to get your

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<v Speaker 1>images anyway, because it's got this redundant system. If you

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<v Speaker 1>don't use redundancy, you're pretty much playing chicken with fate.

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<v Speaker 1>It's not a great idea anyway. You probably use some

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<v Speaker 1>form of cloud storage fairly regularly, so it could be

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<v Speaker 1>a photo album that's a very popular one that backs

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<v Speaker 1>up all images that you might take with your smartphone. Um,

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<v Speaker 1>a lot of smartphones come with this just as part

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<v Speaker 1>and parcel with the smartphone itself, where you have a

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<v Speaker 1>setting where it's automatically uploading these images to a server

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<v Speaker 1>bank somewhere so that you can access it wherever you are.

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<v Speaker 1>Even if you were to change phones, you would still

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<v Speaker 1>be able to access those images because they would be

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<v Speaker 1>associated with your account, not with the hardware itself. Not

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<v Speaker 1>very common feature. Or you might use something like Google Drive,

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<v Speaker 1>which allows you to upload files to Google servers or

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<v Speaker 1>a very specific service within the Google Drive realm, the

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<v Speaker 1>Google Suite realm, like Google Docs, where you can actually

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<v Speaker 1>create documents or spreadsheets or presentations, all of which live

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<v Speaker 1>on the cloud and not on your personal computer, unless

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<v Speaker 1>you choose to download a copy, which you can do. Now,

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<v Speaker 1>that last example gives a little hint of what else

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<v Speaker 1>cloud computing can do, because not just you can't. It's

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<v Speaker 1>not just storing information. You can let you run an

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<v Speaker 1>application or program on another computer, which means your own

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<v Speaker 1>computer does not have to dedicate a lot of processing

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<v Speaker 1>power to that job. Instead, all you have to do

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<v Speaker 1>is run the program that connects you to that online service,

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<v Speaker 1>and frequently that's something as simple as web browser, So

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<v Speaker 1>your web browser becomes the interface with the programs you're using.

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<v Speaker 1>So with docs services like Google Docs or Microsoft Office

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<v Speaker 1>three and the one drive Microsoft product, it's all about

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<v Speaker 1>creating documents. But that's just the tip of the iceberg.

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<v Speaker 1>There are companies that offer deep and complex services, some

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<v Speaker 1>catering to specific industries or processes. Now I have a

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<v Speaker 1>little bit more to say about the history of cloud computing,

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<v Speaker 1>but first let's take a quick break to thank our sponsor.

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<v Speaker 1>The power of cloud computing is that it gives users

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<v Speaker 1>a chance to leverage computing power they might otherwise never

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<v Speaker 1>have access to. So for businesses, it can mean being

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<v Speaker 1>able to scale processes smoothly while the business grows. So

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<v Speaker 1>instead of spending a lot of money buying powerful computers

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<v Speaker 1>or setting up your own data centers, the business can

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<v Speaker 1>become customers of one or more cloud computing service operators

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<v Speaker 1>and offload all of that work to a different company

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<v Speaker 1>and thus scale up faster. Because you know, every time

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<v Speaker 1>you would grow as a company, there would be kind

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<v Speaker 1>of the stop start situation where you would need to

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<v Speaker 1>build out your infrastructure to make it larger and more

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<v Speaker 1>robust to deal with all that growth, But then you

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<v Speaker 1>would end up filling that right. If your business continues

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<v Speaker 1>to grow, you would eventually hit that that limit that

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<v Speaker 1>your new infrastructure can handle, and then you have to

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<v Speaker 1>do it all over again. And this is a very

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<v Speaker 1>complex process at times, like if your business gets really

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<v Speaker 1>really big, with enormous departments underneath that business, each of

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<v Speaker 1>those departments having its own needs, then it quickly can

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<v Speaker 1>become unmanageable unless you have really got your act together.

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<v Speaker 1>So what these services tend to do is make it

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<v Speaker 1>much easier for companies to scale as they grow. This

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<v Speaker 1>is particularly important in today's business world where you've got

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<v Speaker 1>all these startup companies, a lot of which are begun

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<v Speaker 1>by people who are first time business owners. Right. These

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<v Speaker 1>are entrepreneurs who came up with an idea. It was

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<v Speaker 1>a really good idea, it resonates with their customers, they

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<v Speaker 1>launch it, it becomes way more popular than they were

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<v Speaker 1>necessarily prepared to handle at the beginning. They grow very rapidly,

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<v Speaker 1>and that can be the doom of a small company.

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<v Speaker 1>A small company can actually collapse because it was growing

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<v Speaker 1>so fast that uncontrolled growth can mean that people make

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<v Speaker 1>bad decisions about where they need to put their money

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<v Speaker 1>in order to sustain the company as well as to

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<v Speaker 1>continue to grow. So these services are what allow companies

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<v Speaker 1>like that to kind of not worry so much about

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<v Speaker 1>that part of their business. It can be put into

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<v Speaker 1>the hands of another company that specializes in those UH processes,

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<v Speaker 1>which frequently can be customized to the specific customer, so

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<v Speaker 1>it's not like a one size fits all approach. But

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<v Speaker 1>the whole point of it is that the business owners

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<v Speaker 1>don't have to worry about all that themselves. They can

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<v Speaker 1>actually work and partner with these other companies to handle

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<v Speaker 1>some of that while they the business owners continue to

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<v Speaker 1>concentrate on the very core of the business itself. So

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<v Speaker 1>that's why cloud computing has become such a huge deal.

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<v Speaker 1>It is an enabler for other companies to grow. Not

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<v Speaker 1>to mention, it is also a very useful tool for

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<v Speaker 1>the average person. I use cloud computing all the time.

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<v Speaker 1>I use it for creating my documents at work, but

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<v Speaker 1>I also use it for my home stuff, Like if

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<v Speaker 1>I want to do a personal project, I use cloud

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<v Speaker 1>computing for that because I can access that information wherever

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<v Speaker 1>I am by logging into the associated account and then

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<v Speaker 1>using whatever computer I'm on to access that information. Very

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<v Speaker 1>very convenient. Uh. But that's just a high level overview

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<v Speaker 1>of what cloud computing is. And there are some questions

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<v Speaker 1>that come up, or at least should come up, when

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<v Speaker 1>you hear about this model. Among them are questions of ownership,

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<v Speaker 1>because if your documents, files, and processes live on someone

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<v Speaker 1>else's machines, who owns that stuff. There are a lot

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<v Speaker 1>of confusing terms of service out there that seem to

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<v Speaker 1>suggest your handing over ownership of your stuff to these

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<v Speaker 1>third parties, but that can be a little a little misleading.

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<v Speaker 1>I'll cover that a little bit more later on. But

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<v Speaker 1>there are other questions too. If the service were to

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<v Speaker 1>go out of business. Let's say that you have relied

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<v Speaker 1>upon a service that's holding up your back end operations

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<v Speaker 1>of your business. If that service goes out of this,

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<v Speaker 1>what happens to your organization? If it's cloud storage to

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<v Speaker 1>your files go away forever? Would you end up collapsing

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<v Speaker 1>right behind the service provider? Because that would become a

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<v Speaker 1>domino effect, right if a major cloud service operator were

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<v Speaker 1>to run into serious financial problems, maybe there's a terrible scandal,

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<v Speaker 1>maybe there's a data breach, maybe something happens that just

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<v Speaker 1>affects that company at a fundamental level. What does that

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<v Speaker 1>do to the customers? Does that does it cripple multiple

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<v Speaker 1>other businesses? Could you see an entire, attire swath of

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<v Speaker 1>companies collapse as a result of a provider collapsing? And

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<v Speaker 1>then there's the issue of security itself. Can you, as

0:13:43.080 --> 0:13:46.680
<v Speaker 1>a customer of a cloud computing service operator be sure

0:13:46.720 --> 0:13:50.360
<v Speaker 1>that your information, that your processes, that your infrastructure in

0:13:50.400 --> 0:13:54.560
<v Speaker 1>some cases are safe from bad actors? After all, if

0:13:54.600 --> 0:13:57.200
<v Speaker 1>the cloud computing operator is a really big one, it's

0:13:57.240 --> 0:14:01.240
<v Speaker 1>probably a really attractive target for hackers. I'll talk more

0:14:01.280 --> 0:14:03.720
<v Speaker 1>about some of those questions a bit later, But first

0:14:04.080 --> 0:14:06.960
<v Speaker 1>I want to talk about the evolution of cloud computing itself,

0:14:07.000 --> 0:14:09.199
<v Speaker 1>because it goes back a bit further than a lot

0:14:09.200 --> 0:14:12.520
<v Speaker 1>of people think. The term cloud computing for the average

0:14:12.559 --> 0:14:16.439
<v Speaker 1>person became kind of a big buzzword around two thousand nine,

0:14:16.520 --> 0:14:19.440
<v Speaker 1>two thousand ten or so, and when it first popped

0:14:19.480 --> 0:14:22.760
<v Speaker 1>up in general use, it caused some confusion, so much

0:14:22.760 --> 0:14:25.280
<v Speaker 1>so that I actually got an assignment from how Stuff

0:14:25.320 --> 0:14:28.200
<v Speaker 1>Works to write more than a dozen articles for the

0:14:28.200 --> 0:14:31.360
<v Speaker 1>website at that time, and it was covering stuff like

0:14:31.440 --> 0:14:35.920
<v Speaker 1>cloud computing, grid computing, utility computing, and related terms to

0:14:35.920 --> 0:14:39.520
<v Speaker 1>help clarify things. Those are the days now. The actual

0:14:39.640 --> 0:14:43.520
<v Speaker 1>term cloud computing goes back more than a decade before

0:14:44.000 --> 0:14:48.960
<v Speaker 1>it became a buzzword on the average streets of the world,

0:14:49.080 --> 0:14:51.480
<v Speaker 1>right like before the average person was aware of what

0:14:51.520 --> 0:14:54.440
<v Speaker 1>cloud computing think was, the term was already in use

0:14:54.480 --> 0:14:57.400
<v Speaker 1>for more than a decade. But the concept of cloud

0:14:57.400 --> 0:15:01.240
<v Speaker 1>computing is even older than that. So to understand the

0:15:01.280 --> 0:15:04.040
<v Speaker 1>birth of cloud computing, we actually have to go back

0:15:04.080 --> 0:15:07.120
<v Speaker 1>before the era of personal computers, even before the era

0:15:07.640 --> 0:15:13.960
<v Speaker 1>where businesses, big businesses, we're using computers for the average employee.

0:15:14.000 --> 0:15:16.600
<v Speaker 1>We're going all the way back to the nineteen fifties.

0:15:17.040 --> 0:15:21.000
<v Speaker 1>Not at that time computers were mainframe computers. They were giant,

0:15:21.520 --> 0:15:24.840
<v Speaker 1>expensive machines that took up the better part of a room,

0:15:25.160 --> 0:15:27.880
<v Speaker 1>sometimes the better part of a floor of a building.

0:15:28.920 --> 0:15:33.000
<v Speaker 1>This would not be practical to have as a computer

0:15:33.120 --> 0:15:36.640
<v Speaker 1>that one person would use, right, it's so big and

0:15:37.080 --> 0:15:40.200
<v Speaker 1>if you wanted to have multiple people use a computer,

0:15:40.720 --> 0:15:43.240
<v Speaker 1>and you need to have multiple computers, then you would

0:15:43.240 --> 0:15:47.440
<v Speaker 1>be dedicating floors of your buildings to just the just

0:15:47.480 --> 0:15:50.760
<v Speaker 1>a few computers. It's it was not an efficient means.

0:15:51.040 --> 0:15:52.680
<v Speaker 1>And in fact, that was one of the big problems

0:15:52.720 --> 0:15:56.760
<v Speaker 1>with the computers early on. It wasn't there uh their

0:15:56.840 --> 0:16:00.680
<v Speaker 1>processing power, or their storage capacity or anything that The

0:16:00.760 --> 0:16:04.960
<v Speaker 1>problem was, how do you make this powerful machine efficient?

0:16:05.760 --> 0:16:09.200
<v Speaker 1>How do you best make use of its capabilities? Because

0:16:10.120 --> 0:16:12.600
<v Speaker 1>if it's so large and if only one person can

0:16:12.680 --> 0:16:15.760
<v Speaker 1>use it at a time, then you've got limitations on

0:16:15.800 --> 0:16:18.920
<v Speaker 1>what the computer can do, just based upon human limitations.

0:16:19.040 --> 0:16:21.240
<v Speaker 1>There's only so much a human can do with a

0:16:21.240 --> 0:16:26.240
<v Speaker 1>computer like that, and it meant that there were very

0:16:26.280 --> 0:16:29.440
<v Speaker 1>few use cases for a computer that were compelling enough

0:16:29.720 --> 0:16:35.600
<v Speaker 1>to to really uh justify the expense of one. The

0:16:35.680 --> 0:16:40.000
<v Speaker 1>solution in the nineties sixties was to create computer terminals,

0:16:40.160 --> 0:16:42.880
<v Speaker 1>which typically consisted of a workstation that has like a

0:16:42.960 --> 0:16:46.320
<v Speaker 1>keyboard and maybe some other input devices, and then an

0:16:46.320 --> 0:16:49.960
<v Speaker 1>output device like a display. The terminal wasn't in of

0:16:50.040 --> 0:16:53.240
<v Speaker 1>itself a computer, It was more of an interface for

0:16:53.320 --> 0:16:56.320
<v Speaker 1>accessing the main frame computer. So you still have a

0:16:56.360 --> 0:16:59.680
<v Speaker 1>centralized computer, but then you would have one or more

0:16:59.800 --> 0:17:03.280
<v Speaker 1>term annals that would allow users to interface with the computer,

0:17:03.680 --> 0:17:06.520
<v Speaker 1>and then, when paired with a strategy called time sharing,

0:17:06.920 --> 0:17:11.439
<v Speaker 1>a main frame could support multiple terminals. This concept was

0:17:11.480 --> 0:17:14.960
<v Speaker 1>first described by John Backus in nineteen fifty four, but

0:17:15.000 --> 0:17:17.560
<v Speaker 1>it took several years for someone to come up with

0:17:17.880 --> 0:17:22.399
<v Speaker 1>a practical means of enabling it, and in nineteen sixty

0:17:22.440 --> 0:17:24.760
<v Speaker 1>one there was a computer scientist and the father of

0:17:24.880 --> 0:17:29.480
<v Speaker 1>artificial intelligence, John McCarthy, who proposed that the time sharing model,

0:17:29.640 --> 0:17:33.000
<v Speaker 1>once fully developed, could give rise to the shift of

0:17:33.080 --> 0:17:36.959
<v Speaker 1>computer as a utility service. So, in other words, in

0:17:37.000 --> 0:17:40.400
<v Speaker 1>the future, he would argue, customers could pay to make

0:17:40.520 --> 0:17:44.200
<v Speaker 1>use of a computer's processing power and for specific applications

0:17:44.280 --> 0:17:47.400
<v Speaker 1>as well, so instead of owning a computer, you would

0:17:47.400 --> 0:17:50.320
<v Speaker 1>pay someone else to make use of their computer's abilities

0:17:50.359 --> 0:17:54.240
<v Speaker 1>to complete a task. Uh. Now, this did not first

0:17:54.240 --> 0:17:56.560
<v Speaker 1>see the development of the personal computer, because again, at

0:17:56.560 --> 0:18:00.199
<v Speaker 1>the time, computers were enormous, They were very complicated, they

0:18:00.200 --> 0:18:03.000
<v Speaker 1>were difficult to work with. You had to have a

0:18:03.119 --> 0:18:06.600
<v Speaker 1>very specialized set of knowledge and skills in order to

0:18:06.720 --> 0:18:09.040
<v Speaker 1>work with these computers. So it seemed like it was

0:18:09.160 --> 0:18:12.040
<v Speaker 1>well outside the realm of the average person. People weren't

0:18:12.080 --> 0:18:15.639
<v Speaker 1>thinking in terms of personal computers. So what McCarthy was

0:18:15.680 --> 0:18:18.920
<v Speaker 1>proposing was a model where you would still be able

0:18:19.000 --> 0:18:22.320
<v Speaker 1>to take advantage of a computer's processing power, but you

0:18:22.359 --> 0:18:25.919
<v Speaker 1>would pay on demand. Right, You would pay whenever you

0:18:25.960 --> 0:18:29.199
<v Speaker 1>needed to use a computer, and then in return you

0:18:29.200 --> 0:18:34.680
<v Speaker 1>would get some application run or some computation performed. And

0:18:35.119 --> 0:18:38.879
<v Speaker 1>this would actually become part of the foundation for modern

0:18:38.920 --> 0:18:42.639
<v Speaker 1>cloud computing. While we kind of bypassed this for a while,

0:18:42.800 --> 0:18:47.240
<v Speaker 1>it's come back around. Utility computing is related to cloud computing.

0:18:47.280 --> 0:18:50.400
<v Speaker 1>It's not synonymous, but it is related to it. I've

0:18:50.400 --> 0:18:52.199
<v Speaker 1>got a little bit more to say about cloud computing,

0:18:52.280 --> 0:18:55.400
<v Speaker 1>but first let's take another quick break to thank our sponsor.

0:19:02.720 --> 0:19:07.360
<v Speaker 1>The development of multi user mainframe solutions was originally funded

0:19:07.480 --> 0:19:12.200
<v Speaker 1>by the Advanced Research Projects Agency or ARPA, the predecessor

0:19:12.240 --> 0:19:16.119
<v Speaker 1>to DARPA, the research and development arm of the United

0:19:16.160 --> 0:19:20.880
<v Speaker 1>States Department of Defense. They've been responsible for funding tons

0:19:21.040 --> 0:19:25.280
<v Speaker 1>of projects that have been all about pushing technology forward,

0:19:25.960 --> 0:19:30.920
<v Speaker 1>frequently with at least a a an eye toward defense,

0:19:31.520 --> 0:19:35.320
<v Speaker 1>but not necessarily all about that. So ARPA NET is

0:19:35.359 --> 0:19:37.440
<v Speaker 1>a great example, and I'll talk about that a little

0:19:37.440 --> 0:19:41.080
<v Speaker 1>bit more in just a minute. But ARPA or DARPA

0:19:41.160 --> 0:19:42.960
<v Speaker 1>as it now is known it changed its name in

0:19:43.000 --> 0:19:47.640
<v Speaker 1>the early nineteen seventies. DARPA has also funded big projects

0:19:47.640 --> 0:19:52.040
<v Speaker 1>that have led to things like robots that can respond

0:19:52.240 --> 0:19:56.600
<v Speaker 1>to various uh crises, like there was a big robotics

0:19:56.680 --> 0:20:00.639
<v Speaker 1>challenge where the robots had to perform a series of

0:20:00.640 --> 0:20:04.560
<v Speaker 1>of different tasks in order to simulate responding to a

0:20:04.640 --> 0:20:09.879
<v Speaker 1>nuclear meltdown scenario, or driverless cars. DARPA has also funded

0:20:09.920 --> 0:20:13.560
<v Speaker 1>a lot of the development behind autonomous vehicles. So back

0:20:13.600 --> 0:20:19.320
<v Speaker 1>in ninety three, the agency ARPA awarded two million dollars

0:20:19.320 --> 0:20:21.040
<v Speaker 1>to m I T to take on what was called

0:20:21.080 --> 0:20:24.639
<v Speaker 1>Project MAC, which was also known as the Project of

0:20:24.760 --> 0:20:29.119
<v Speaker 1>Mathematics and Computation Now. Later on, the acronym was tweaked

0:20:29.119 --> 0:20:31.600
<v Speaker 1>a few different times to mean various things, one of

0:20:31.600 --> 0:20:35.879
<v Speaker 1>which was multiple access computer, which was one aspect of

0:20:35.880 --> 0:20:38.480
<v Speaker 1>Project MAC, but not the only one. The ARPA side

0:20:38.520 --> 0:20:40.880
<v Speaker 1>of the project was headed by a guy named Joseph

0:20:41.080 --> 0:20:45.720
<v Speaker 1>Carl Robnett Licklider, better known as j. C. R or Lick,

0:20:46.600 --> 0:20:48.960
<v Speaker 1>and he had previously served as a professor at m

0:20:48.960 --> 0:20:52.200
<v Speaker 1>I T before joining the Department of Defense. The m

0:20:52.240 --> 0:20:55.639
<v Speaker 1>I T side was originally headed by Robert fano A.

0:20:55.720 --> 0:21:00.000
<v Speaker 1>Project MAC would span many different areas of computer science,

0:21:00.119 --> 0:21:03.280
<v Speaker 1>but the one we're specifically interested in here is time sharing.

0:21:03.760 --> 0:21:05.960
<v Speaker 1>The origins of the time sharing model came out of

0:21:05.960 --> 0:21:08.840
<v Speaker 1>a different project and m I T, but was completed

0:21:08.920 --> 0:21:11.480
<v Speaker 1>as part of Project MAC. Lick Lighter is going to

0:21:11.520 --> 0:21:14.280
<v Speaker 1>pop up again in our discussion in just a second now. Typically,

0:21:14.800 --> 0:21:17.760
<v Speaker 1>time sharing meant that the main frame would devote a

0:21:17.840 --> 0:21:22.399
<v Speaker 1>certain number of processing cycles to each terminal's operations, so

0:21:22.440 --> 0:21:25.879
<v Speaker 1>you could have multiple people using different terminals accessing the

0:21:25.920 --> 0:21:28.800
<v Speaker 1>same mainframe computer, and the main frame would work on

0:21:28.880 --> 0:21:34.720
<v Speaker 1>problems in sequence rather than simultaneously. But computers work very quickly,

0:21:35.040 --> 0:21:38.040
<v Speaker 1>and we humans are relatively slow by comparisons, so on

0:21:38.119 --> 0:21:41.800
<v Speaker 1>casual glance, it looks like one computer is handling all

0:21:41.840 --> 0:21:44.639
<v Speaker 1>the work of all the terminals all at the same time.

0:21:44.880 --> 0:21:48.199
<v Speaker 1>In fact, the reason time sharing works so well is

0:21:48.240 --> 0:21:51.840
<v Speaker 1>that we humans tend to work in short batches or spurts.

0:21:51.880 --> 0:21:54.679
<v Speaker 1>This means that the main frame would be waiting on

0:21:54.800 --> 0:21:57.960
<v Speaker 1>humans more than humans would wait on the main frame,

0:21:58.040 --> 0:22:00.840
<v Speaker 1>which is another reason why one person working on a

0:22:00.840 --> 0:22:03.440
<v Speaker 1>computer is not an efficient use of that computer, because

0:22:03.440 --> 0:22:06.560
<v Speaker 1>there's a lot of downtime when you look at the

0:22:06.640 --> 0:22:11.000
<v Speaker 1>accumulation of all the little pauses and breaks humans take.

0:22:11.560 --> 0:22:14.399
<v Speaker 1>So if you could allow multiple people to access the

0:22:14.440 --> 0:22:18.399
<v Speaker 1>same machine at the same time, you can then shift

0:22:18.560 --> 0:22:21.920
<v Speaker 1>the downtime of one user so it becomes the active

0:22:21.920 --> 0:22:24.879
<v Speaker 1>time of another user. And with the right number of users,

0:22:25.119 --> 0:22:27.760
<v Speaker 1>that would maximize the efficiency of the main frame itself.

0:22:27.840 --> 0:22:32.159
<v Speaker 1>It would essentially be working constantly, and in turn that

0:22:32.200 --> 0:22:36.040
<v Speaker 1>would justify the massive cost of owning and operating a

0:22:36.080 --> 0:22:40.399
<v Speaker 1>mainframe computer. Time sharing also opened up the possibility of

0:22:40.440 --> 0:22:43.360
<v Speaker 1>allowing a business to make use of a computer owned

0:22:43.480 --> 0:22:46.320
<v Speaker 1>by someone else. The business would just have to have

0:22:46.359 --> 0:22:48.920
<v Speaker 1>access to a terminal for the main frame in question,

0:22:49.119 --> 0:22:51.439
<v Speaker 1>so you could argue that's the very foundation of the

0:22:51.480 --> 0:22:54.800
<v Speaker 1>concept of cloud computing. Lick Lighter is one of the

0:22:54.880 --> 0:22:59.320
<v Speaker 1>people responsible for the formation of the Arpanett project. Ar

0:22:59.359 --> 0:23:02.280
<v Speaker 1>Ponnet's goal was to create means for different computers and

0:23:02.359 --> 0:23:06.160
<v Speaker 1>different locations to share information with one another and therefore

0:23:06.320 --> 0:23:09.840
<v Speaker 1>resources between each other, even if the computers were of

0:23:09.880 --> 0:23:12.719
<v Speaker 1>different make and model, which was not a trivial task

0:23:13.240 --> 0:23:17.639
<v Speaker 1>as different mainframes relied on very different computer architectures and

0:23:17.680 --> 0:23:21.840
<v Speaker 1>different operating systems, which made them incompatible with one another

0:23:22.000 --> 0:23:25.080
<v Speaker 1>in normal use, so it's like they're speaking totally different languages.

0:23:25.640 --> 0:23:29.960
<v Speaker 1>Lig Lighter envisioned what he called an intergalactic computer network,

0:23:30.320 --> 0:23:33.080
<v Speaker 1>and in this vision, link Letters saw everyone in the

0:23:33.080 --> 0:23:36.359
<v Speaker 1>world having access to computers and information through an interconnected

0:23:36.400 --> 0:23:40.639
<v Speaker 1>network of machines. Essentially, he was proposing the Internet. The

0:23:40.760 --> 0:23:44.920
<v Speaker 1>Arpanet project launched in nineteen sixty nine. In the early

0:23:45.000 --> 0:23:48.239
<v Speaker 1>nineteen seventies, another big development took place, which was the

0:23:48.280 --> 0:23:52.879
<v Speaker 1>evolution of machine virtualization. In the nineteen sixties, we use

0:23:52.920 --> 0:23:55.840
<v Speaker 1>the term virtualization to refer to the ability to allow

0:23:55.960 --> 0:23:59.520
<v Speaker 1>multiple users to access the same machine more or less

0:23:59.640 --> 0:24:02.720
<v Speaker 1>sim sultaneously, as it was almost as if each user

0:24:02.840 --> 0:24:06.320
<v Speaker 1>had access to his or her own virtual computer. So

0:24:06.359 --> 0:24:09.040
<v Speaker 1>essentially it was another kind of word for time sharing,

0:24:09.480 --> 0:24:13.160
<v Speaker 1>But in the nineties seventies the meaning began to shift

0:24:13.560 --> 0:24:17.800
<v Speaker 1>as computer scientists found ways to create virtual machines within

0:24:17.880 --> 0:24:21.520
<v Speaker 1>a computer itself. The computer runs software that allows it

0:24:21.600 --> 0:24:25.480
<v Speaker 1>to partition off assets to run an instance, as if

0:24:25.520 --> 0:24:28.560
<v Speaker 1>it had a second machine inside the main machine. It

0:24:28.640 --> 0:24:32.399
<v Speaker 1>takes up some of the primary machines abilities, some of

0:24:32.400 --> 0:24:36.159
<v Speaker 1>its processing abilities, some of its storage. It's it's almost

0:24:36.200 --> 0:24:39.520
<v Speaker 1>like you've just divided one main frame into two computers,

0:24:39.520 --> 0:24:41.960
<v Speaker 1>but you're doing it on the software level, not the

0:24:42.040 --> 0:24:47.640
<v Speaker 1>hardware level, and you could even run different operating systems

0:24:47.680 --> 0:24:50.680
<v Speaker 1>on the same computer. This way, you could create essentially

0:24:50.720 --> 0:24:54.840
<v Speaker 1>what amounted to an emulator that would allow software mint

0:24:54.920 --> 0:24:59.120
<v Speaker 1>for a different type of computer to run on another computer.

0:24:59.240 --> 0:25:01.440
<v Speaker 1>We do this today. There are a lot of computers

0:25:01.440 --> 0:25:05.399
<v Speaker 1>out there that run uh different operating systems simultaneously, and

0:25:05.440 --> 0:25:08.240
<v Speaker 1>you can switch back and forth. And it's essentially this

0:25:08.520 --> 0:25:13.200
<v Speaker 1>virtualization software that allows the computer to divide itself up

0:25:13.280 --> 0:25:16.719
<v Speaker 1>so that some of its assets are dedicated to running

0:25:17.200 --> 0:25:20.960
<v Speaker 1>one operating system and the other assets are dedicated to

0:25:21.000 --> 0:25:24.359
<v Speaker 1>running another operating system. So you might have Linux and

0:25:24.440 --> 0:25:29.520
<v Speaker 1>Windows for example, or Max had virtualization that allows you

0:25:29.560 --> 0:25:32.080
<v Speaker 1>to run Windows on a Mac. So that way you

0:25:32.080 --> 0:25:36.760
<v Speaker 1>could run Windows based software on the Windows operating system

0:25:36.840 --> 0:25:40.000
<v Speaker 1>platform as if it were a Windows PC, or you

0:25:40.000 --> 0:25:42.120
<v Speaker 1>could switch over to the Max side and run Mac

0:25:42.200 --> 0:25:44.680
<v Speaker 1>software that was designed to run on the Mac operating system.

0:25:44.680 --> 0:25:49.760
<v Speaker 1>Because remember, different programs meant for specific operating systems are

0:25:49.800 --> 0:25:55.520
<v Speaker 1>not interoperable with other operating systems. So virtualization began to

0:25:55.520 --> 0:25:59.760
<v Speaker 1>take on a slightly different word, different meaning rather in

0:25:59.800 --> 0:26:02.800
<v Speaker 1>the nineteen seventies. But it also meant that you could

0:26:02.840 --> 0:26:06.240
<v Speaker 1>create a virtual machine that someone could access, and that's

0:26:06.240 --> 0:26:10.440
<v Speaker 1>another one of those little founding notions of cloud computing.

0:26:11.080 --> 0:26:15.000
<v Speaker 1>Technology would continue to evolve. Our bonnet would pave the

0:26:15.040 --> 0:26:18.119
<v Speaker 1>way for the Internet, which sort of began to coalesce

0:26:18.560 --> 0:26:22.320
<v Speaker 1>in the late seventies early eighties. Uh. The Web, of course,

0:26:22.400 --> 0:26:26.359
<v Speaker 1>would be another evolution of that. You would start, you know,

0:26:26.560 --> 0:26:28.520
<v Speaker 1>a layer on top of the Internet. The Web and

0:26:28.560 --> 0:26:31.080
<v Speaker 1>the Internet are not synonymous, they're not the same thing.

0:26:31.560 --> 0:26:33.920
<v Speaker 1>But the Web is a layer that exists on top

0:26:33.960 --> 0:26:37.480
<v Speaker 1>of the Internet, and it's frequently the way most of

0:26:37.600 --> 0:26:40.280
<v Speaker 1>us access the Internet, and we tend to access it

0:26:41.040 --> 0:26:44.000
<v Speaker 1>using the web and email. Those are two big ways.

0:26:44.320 --> 0:26:47.080
<v Speaker 1>And then we also have apps which can access the Internet.

0:26:47.680 --> 0:26:51.360
<v Speaker 1>They often have a web like interface, so a lot

0:26:51.359 --> 0:26:53.920
<v Speaker 1>of times we associate that with the Web, but they

0:26:53.920 --> 0:26:57.320
<v Speaker 1>could be completely independent of the Web. So we also

0:26:57.680 --> 0:27:00.159
<v Speaker 1>access the Internet through apps, but I think most us

0:27:00.200 --> 0:27:03.400
<v Speaker 1>kind of associate the Web with the Internet as being

0:27:03.440 --> 0:27:05.840
<v Speaker 1>almost one and the same, although you should keep in

0:27:05.880 --> 0:27:09.879
<v Speaker 1>mind that's not exactly true. Anyway, people before the Web

0:27:10.119 --> 0:27:13.760
<v Speaker 1>would call into other computers using modems, uh, and they

0:27:13.800 --> 0:27:16.080
<v Speaker 1>would upload or download files from them. They could do

0:27:16.160 --> 0:27:19.160
<v Speaker 1>that on bulletin board systems. I've talked about those recently,

0:27:19.880 --> 0:27:22.760
<v Speaker 1>but then also later on through Internet servers, you could

0:27:22.800 --> 0:27:26.960
<v Speaker 1>use things like tell net to log in remotely into

0:27:27.000 --> 0:27:29.560
<v Speaker 1>another machine. Guys have got a lot more I want

0:27:29.600 --> 0:27:32.880
<v Speaker 1>to say about cloud computing, but in order to get

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<v Speaker 1>these episodes out properly, I'm going to cut this one

0:27:36.400 --> 0:27:40.400
<v Speaker 1>a little short because Hotel WiFi makes it really hard

0:27:40.440 --> 0:27:44.560
<v Speaker 1>to upload larger sound files. So we're gonna rejoin this

0:27:44.640 --> 0:27:49.880
<v Speaker 1>conversation with a discussion about some other forms of computing

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<v Speaker 1>that are similar to cloud computing, like grid computing, and

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<v Speaker 1>then we'll talk a little bit about what cloud computing

0:27:56.000 --> 0:27:59.600
<v Speaker 1>is used for today. Some of the more recent developments

0:27:59.640 --> 0:28:03.280
<v Speaker 1>in the world and uh then we'll conclude before we

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<v Speaker 1>move on to our next subject. So I want to

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<v Speaker 1>thank everyone out there for listening to this bonus episode

0:28:09.040 --> 0:28:12.760
<v Speaker 1>of text Stuff. If you have suggestions for future episode topics,

0:28:12.920 --> 0:28:15.200
<v Speaker 1>let me know. Send me an email the addresses tech

0:28:15.240 --> 0:28:17.800
<v Speaker 1>stuff at how stuff works dot com, or drop me

0:28:17.840 --> 0:28:20.000
<v Speaker 1>a line on Facebook or Twitter. The handle of both

0:28:20.000 --> 0:28:22.959
<v Speaker 1>of those is tech stuff hs W. Remember you can

0:28:23.000 --> 0:28:26.080
<v Speaker 1>follow us on Instagram and also go to twitch dot

0:28:26.119 --> 0:28:29.119
<v Speaker 1>tv slash tech stuff to watch me record these shows live,

0:28:29.440 --> 0:28:31.720
<v Speaker 1>at least the normal ones when I'm back in the studio.

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<v Speaker 1>On these remote recordings, I don't tend to stream them

0:28:36.359 --> 0:28:40.560
<v Speaker 1>because said hotel WiFi problems. But I look forward to

0:28:40.560 --> 0:28:42.520
<v Speaker 1>see you guys in the chat room and I'll talk

0:28:42.560 --> 0:28:50.760
<v Speaker 1>to you again really soon for more on this and

0:28:50.800 --> 0:29:03.520
<v Speaker 1>thousands of other topics. Is it how stuff works dot com.