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5.13 Cloudlet

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IoT (Internet of Things) Wireless & Cloud Computing Emerging Technologies

Yonsei University

4.6 (95 ratings) | 4K Students Enrolled

Course 1 of 4 in the Emerging Technologies: From Smartphones to IoT to Big Data Specialization

IoT (Internet of Things) devices are already abundant, but new products that include IoT modules are now a common trend. Also, almost everything is already connected to a Cloud, and much more will be in the future. Naturally, as this trend continues, in the near future almost all devices and appliances will include IoT modules which will use sensor data collection and control/management based on Clouds. Since we will live in an IoT world supported by Clouds, knowledge of the core technologies and platforms of IoT and Clouds will enable you with the tools to become a true leader in the future product and business world. In this course, the start-of-the-art IoT and wireless networks and Cloud technologies are introduced (for details on 1G to 5G mobile communications and smartphone and smart device technology, please take my course “Smart Device & Mobile Emerging Technologies”). This course ends with projects that teach how to analyze Bluetooth and W-Fi wireless networks and setup and use an EC2 (Elastic Compute Cloud) Virtual Computer in AWS (Amazon Web Service), which is the most powerful and popular Cloud technology in the world. Comparing to the human body, IoT is the neural network and the Cloud is the brain. Thus, I cordially welcome you into the brain and neural network of the future intelligence world!

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4.6 (95 ratings)

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FF

Feb 05, 2019

Course Content is good for the beginner. The Instructor explains each and everything in detail. Thank you prof. Jong-Moon Chung for your effort.

MN

Apr 03, 2019

I liked this course. very informative. Learnt a lot about the cloud computing and IOT. Would love to take expert level of coursera. Thanks

From the lesson

Cloud Technology

The fifth module “Cloud Technology” focuses on the Cloud market analysis, Cloud service types, MCC (Mobile Cloud Computing), and Edge Computing technology. Frist, the characteristics of the world’s top cloud companies and their services including AWS (Amazon Web Service), Microsoft, IBM, Google, and Apple's iCloud are introduced. Then the characteristics of cloud models, which include public cloud, private cloud, community cloud, and hybrid cloud are described along with the differences in cloud service models, which include SaaS (Software as a Service), PaaS (Platform as a Service), and IaaS (Infrastructure as a Service). Based on the service models, the benefits and characteristics of Cloud services are introduced. More details on the operation process are introduced, which include the IaaS and VM (Virtual Machine) administration, PaaS Runtime Environment for application support, and Open SaaS applications access processes. Then the relation between IoT and state-of-the-art mobile cloud technology is introduced. First the differences in MCC (Mobile Cloud Computing) and Edge Computing are described, which includes details on Fog computing, MEC (Mobile Edge Computing), and Cloudlet technology. In addition, the functionality and characteristics of the Cloudlet architecture and its 3 layers are covered.

5.13 Cloudlet8:05

Taught By

Jong-Moon Chung
Professor, School of Electrical & Electronic Engineering

Cloudlet.

The cloudlet that structure is typically accessed through Wi-Fi connections.

Inside, we have virtual machines,

which are the main features of cloud computing technology.

What is done here,

is shown in this example in which we have a cloud server,

which is a local server,

and a modem device together,

which may be separate devices interconnected,

or they may be on one device, one unit together.

They join the network as a local cloud support system.

However, of course, they do not have

the full capacity and storage memory that the main cloud would have,

so we call them cloudlets.

Inside, they can support virtual machines

to various devices that are local, that request it.

The cloudlet that definition is based on mobility and has

small-scale cloud data center techniques.

They are located at the edge of the Internet,

nearby the mobile devices.

In some cases, some mobile devices could be programmed to be cloudlets.

cloudlets support resource intensive and interactive mobile applications,

and provide powerful computing resources to mobile devices with low latency.

These cloudlets are used between the UE and cloud device, somewhere in the middle.

A cloudlet is a data center in a box type concept,

that brings the cloud closer to the UE.

So, this is really like a cloud,

although it does not have all the features and capacity that a cloud will have,

it is like a miniature device that has additional communication techniques,

wireless and wire, brought closer to device,

such that it is effectively used.

Cloudlet's use virtual machine to provision resources

for use in real time over Wi-Fi networks.

So, therefore, direct one-hop cloud access is enabled,

and that is why latency becomes so small and they become much more reliable.

The architecture is based on three layers,

and the cloudlet that has a cloudlet layer,

which is a group of co-located nodes and it's managed by a Cloudlet Agent.

Then there's a node layer,

where multiple execution environments running on

top of the operating system is what enables this.

This is managed by a Node Agent.

Once again, on top was a Cloudlet Agent,

on here is a Node Agent.

Then there's the component layer.

This includes a set of services that interface to the higher layers,

as in terms of their execution environment, which is right here.

Then comparing these three,

Fog Computing, Mobile Edge Computing,

MEC, and Cloud Computing in terms of mobile device wise.

Well, Fog Computing, routers,

switches, access points and gateways,

whereas Mobile Edge Computing are servers running in the base station,

mobile communication base station.

Something like an eNode B,

or Gnode B in the near future.

Data center in a box concept is what a cloudlet is.

The Node location is in Fog Computing,

it varies between N devices and the cloud,

whereas in MEC, the radio network controller as well

as the base stations are where the MEC needs to be located.

When you look at cloudlets,

these are local or outdoor installations.

Software architecture are based on the fog abstraction layer and Fog Computing.

The mobile orchestrator in the mobile communication network is what controls the MEC,

and in cloudlets, it is the Cloudlet Agent.

Of course, there's the node agent as well assisting the Cloudlet Agent.

In terms of context awareness,

Fog Computing is medium,

however, Mobile Edge Computing is high.

Relatively, Cloudlet Computing is low,

as the necessary virtual machines that are going to be distributed

are already prepared and delivered first, in advace.

Proximity is based on the structure of the network,

where Fog Computing can be one or multiple hops.

When it comes to MEC,

you're talking about one hop.

This is because your smartphone is one hop away from the base station.

The MEC is located right next to the base station,

that is why a one-hop.

Although this one hop is a little bit of a longer one-hop,

compared to the cloudlet one hop,

because these one-hops are wireless local area network based.

Normally, they are wireless LAN, Wi-Fi based.

So, therefore, cloudlets are typically supposed to

be closer compared to where the macro base station is,

in your mobile communication network.

Then comes access mechanisms.

When you go to Fog Computing,

it is Bluetooth, Wi-Fi,

or it could be the mobile network and

other wireless personal area network techniques, such as ZigBee.

When it comes to MEC,

it is the mobile network primarily.

However, you could use Wi-Fi techniques.

When you're looking into cloudlet,

Wi-Fi is the primary access type.

However, other components could be used to connect.

The Internode communication, here in Fog Computing is supported,

in Mobile Edge Computing it's partial,

and also Cloudlet Computing it is partial as well.

Looking at these categories and their characteristics.

Their physical proximity, for Fog Computing and cloudlet that it is high,

for MEC, it is relatively low.

When looking at the power consumed,

Mobile Edge Computing consumes more power because you need to send your signal to

the base station and that is why the physical proximity being low,

results in a higher power consumption.

When it comes to Fog Computing or Cloudlet Computing,

you're talking about advice that most likely is very,

very close and therefore,

the power consumption is low.

Computation time, well, Fog Computing here will take

higher longer periods whereas

Mobile Edge Computing and Cloudlet Computing are expected to be faster.

Context Awareness.

Mobile Edge Computing has more knowledge,

more prediction, more fetching of relevant contents,

so therefore it is going to be more sensible to what is going to be communicated.

That means that the overall Context Awareness is

high whereas Fog Computing and Cloudlet Computing are relatively lower.

The logical proximity is in ways such that Cloudlet Computing is in short,

whereas Fog Computing and MEC are maybe.

Then we have Non-IP support.

This is also important because not all techniques and devices use a IP-based protocols.

Looking into Fog Computing,

it is a yes or as Mobile Edge Computing and Cloudlet Computing,

it is a no.

However, Mobile Edge Computing and Cloudlet Computing can be designed in

special ways such that they can support Non-IP devices and Non-IP services.

These are the references that I used and I recommend them to you. Thank you.

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