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foreign

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[Music]

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he's going to be talking to us about the

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power of edge Computing and why it

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really matters

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please make them feel welcome

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[Applause]

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hello everybody thank you for being here

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I know there are many amazing talks

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going on in other halls and you all

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being here means a lot to me so today

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I'm going to talk about Edge Computing

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so how how many of you know what Edge

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Computing is

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okay a few so I hope the number goes

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Higher by the end of this talk so here's

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a little context about myself I am

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swastika and I work as a developer

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Advocate at nanjayo it's a backend as

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service built on top of kubernetes and

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previously I was working as a developer

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Advocate at torso database which is an

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edge database so that's how I got into

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Edge database I also create educational

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content on platforms like Twitter and

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Linkedin and hopefully by the end of

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this year I'll be adding a public

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speaker to my introduction

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so this is how the agenda looks for for

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the talks we'll be seeing what is Edge

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Computing how it is different from cloud

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computing what are the use cases of edge

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Computing and uh how one should decide

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if if they should go with Edge Computing

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or cloud computing

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so a lot of my friends who have been to

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the US always shared how fast the web

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experience is has come in the US as

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compared to the other parts of the world

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and I majorly thought it's because of

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the high-speed internet or maybe they

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have a better technology but what what

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does actually happens when if we need a

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great web experience so for example if

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we click on a particular link uh user

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sends the request to the server the

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server responses and transmitted the

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necessary data and sends the request

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back to the user and the time taken in

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this process is basically depends on

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three things the speed of your internet

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processing time at the user's end and

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the cloud centers and and the most

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important thing is the time taken

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and the most

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and the most important thing is the time

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taken by the data to travel from cloud

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Center to the user and back and forth so

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uh because most of the data centers are

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anywhere placed in the US so the speed

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and the web experience is way better in

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the US as compared to the other parts of

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the world so Edge Computing is one

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technology which can help people to have

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similar experience with web web

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interaction when if even if they are in

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any part of the world

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so Edge Computing is kind of similar to

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cloud computing with one major

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difference that is centralization so in

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in the case of cloud computing we take

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Computing to the cloud centers while in

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the case of edge Computing we take cloud

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cloud centers closer to the data where

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where the user has created the data so

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we'll see which will directly decrease

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the latency so here uh here are the two

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tools which can show what is the

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difference in the latency

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um

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so this this is a tool by virtual where

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you can

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come on

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how do I click on it

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how do I click on it

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no

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third okay

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so if we just choose a data service here

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so the Blue Line shows the traditional

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cloud computing latency when the data is

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directly taken through through the us

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while the purple line shows the edge

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Computing functions when the data is

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processed at the edge com Edge Network

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so you can see there's a huge difference

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in blue and the purple lines and

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it's not touching that

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you will go back to the other window

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yeah

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foreign

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so here's an example of latency

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difference between the USA and India so

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on the right hand side we have the

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latency distribution in the US you would

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see there's not much of a difference in

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the blue and the purple line on the

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right hand side because even if we take

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the example of cloud computing the data

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center are present there only so it

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doesn't make much of a difference in the

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latency while on the left hand side

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you'll see the latency distribution in

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India is way different and the there's a

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huge difference between purple line and

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the blue line because the blue lines is

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showing the data which is transmitted

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through the us while the purple lines is

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processing the data through Edge

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Computing when the data servers are

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present at the place where the data has

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been created

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so now we have another tool

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s

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yeah

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so if we switch it off this is a tool by

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torso database if we switch it off we

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can see the data centers are present in

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the New Jersey and the latency is way

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way lower than any part of the world as

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compared to the US uh and if you switch

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it back

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so now we see there are multiple data

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centers present which are like replica

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of data centers uh created locally where

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the data has been created so you can see

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there's a huge difference in the latency

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in the other parts of the world as well

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as compared to the one in the cloud

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computing

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so the key components of Edge Edge

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infrastructure so in Edge infrastructure

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there are basically two main components

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one is Edge devices and other is Edge

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data centers Edge devices you can think

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of them as a hardware which manages the

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flow between the server side and the

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users so it's it manages the boundary

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between the networks

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um so for examples iot sensors smart

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cameras or processors are few of the

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edge devices while the edge data centers

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are the smaller data centers which are

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created near to the users where the data

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has to be created and it acts as uh it

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delivers cloud computing resources to

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Edge devices

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here's an example of how Edge Computing

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Works in in

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in iot systems so here we have some Edge

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devices data is transmitted to the edge

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Network and all the processing of the

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data has done has to be done here only

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while only the results of this data has

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to be sent to the data centers for

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further evaluation and human interaction

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rest of the data is already been

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processed which which also helps apart

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from reducing the latency it also helps

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in high security because if you have a

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sensitive data you can process it at the

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network Edge only and the result of the

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data can only the document or the data

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which is not that much sensitive can be

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anonymized can be sent to the cloud

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centers and rest can be processed here

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and sent back from here only

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so cloud cloud computing versus uh

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Edge Computing so there are four

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scenarios on the basis of which we'll

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see how what is the difference between

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Edge Computing and cloud computing

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centralization so this is the major

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difference between Edge Computing and

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cloud computing in cloud computing we

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take the data to the cloud centers and

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the data centers present at just one

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location while in the case of edge

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Computing there are multiple data

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centers created around the world data

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distribution

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um in cloud computing since the data

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center is present at just one place all

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the data is there's no distribution of

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the data all the data is stored managed

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processed at just one place while in the

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case of edge Computing the data is

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distributed between multiple data

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centers and maybe some part of the data

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is also sent to the leading data centers

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data processing

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so Edge Computing is way faster in the

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Pro in data processing as compared to

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cloud computing since the data is

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processed very near to the where it is

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created so it it reduces the latency it

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increases the security and helps in

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providing a action driven solution in

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real time

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as compared to cloud computing the data

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has be has to be processed at just one

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place and it doesn't matter how far it

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is from from other places of the world

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it it's gonna take time uh real-time

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interaction so the cloud computing and

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Edge Computing both follows real-time

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interaction but in the case of cloud

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computing uh it's not always possible to

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have real-time interaction because of

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the delay and the latencies while in the

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edge Computing the chances of delay and

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the latencies is way lower than it's

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cloud computing

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use cases of cloud computing so as I

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mentioned there are the three main

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benefits of cloud Edge Computing are low

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latency real-time data interaction and

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high security for for sensitive data so

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when we talk about low latencies uh

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everyone deserves low latencies and

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anyone and every in any part of the

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world is of slow latency so they can

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achieve that latency with Edge Computing

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way easily if they have data local data

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centers near to the place uh while in

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the case of cloud computing the data

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data has to go to the data center in in

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present most of the data scientists

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present in the US only real-time data

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processing so in devices like iot

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systems or autonomous vehicles uh there

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are like hundreds of different uh Edge

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devices which require to process data

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and the the massive amount of data has

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to be sent to the Cloud Server then it

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is sent back to the edge devices which

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is a time taking process so in the case

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of edge Computing that they data is

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processed at the place of edge data

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servers which is very near to the place

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where the data has been generated so it

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also helps in increasing in it increases

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the speed at which the solution can be

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provided or a response can be created

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for data privacy again sensitive data

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can be processed and analyzed locally at

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the data centers replica of data centers

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present near to the users uh and while

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the anonymized data can be sent to the

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cloud uh which does which does not

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contain that much sensitive data and so

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the sensitive data can be processed from

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from uh from the local data centers only

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so to decide between Edge Computing and

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cloud computing it's it's not something

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like they are not an interchangeable

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Technologies both have different

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purposes and we we need to decide on the

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on the basis of what kind of product we

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are looking for what are our

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requirements what's going to be our need

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in the next few years

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so for considerations for cloud

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computing so there are three main

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considerations that is data volume data

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sensitivity and latency requirement so

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if if the data volume is huge so it it

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would be difficult for small data

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centers created near the users to

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process that much data and send it back

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to the users so in cases of uh maybe

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like a healthcare system or financial

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system where a huge amount of data is

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created every day cloud computing would

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be a better option because uh even if it

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is slower but the data from complexities

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and solutions would be more reliable as

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compared to Edge computing second data

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sensitivity if you have a sensitive data

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where data breach can be a problem in

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that case cloud computing is a better

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option because it anyways you can

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process it locally you don't do not need

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to send it to the cloud servers so you

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can say

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save the part where you need the main

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data latency requirement again Edge

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Computing decreases the latency by a

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huge number so if you need a fast

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response a faster web experience Edge

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Computing could be the go to choice

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for cloud computing scalability and

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intensive tasks so as of now cloud

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computing has been in the industry for a

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longer period of time so it

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automatically have has much more

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platforms or products people are more

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use people are using it more as compared

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to Edge Computing there are many more

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products which on which you can build

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using cloud computing as compared to

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Edge Computing so

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anyway it it's gonna be it's easier to

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rely on on just rent a cloud service

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provider as compared to Edge Computing

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uh for the higher intensive tasks where

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there's a lot of computational uh

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processing required of Big Data analysis

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is required so again that is difficult

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for smaller data centers to process that

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much data and while in the case of cloud

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computing they have bigger data centers

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where high level of computations and

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data analysis can be done hybrid

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solution so as of now we do not have a

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solution where we can have a mix of

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cloud computing and Edge Computing but

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there are few companies who are working

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on that solution so maybe in few years

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we'll have a blend of cloud computing

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and Edge Computing where we can get the

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scalability and reliability of cloud

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computing and the low latencies or

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security of edge computing

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so these are the takeaways from the from

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the talk cloud computing brings server

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closer closer to the data whereas in

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cloud computing we take the data closer

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to the server uh it's not a choice to

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choose but it's not our choice to choose

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between Edge Computing or cloud

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computing there could be a reliable

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solution which where we can get both the

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uh the benefits of both the Technologies

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and still Edge Computing is quite new

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and very few companies are working on it

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but maybe in the future we'll have

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something where we can have a mix of

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both the Technologies Edge Computing

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helps in reducing the latencies and

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optimize the real-time Solutions while

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in the case of cloud computing it is

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suitable for uh companies or

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organizations where the huge amount of

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data is is created and we need to

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centralize that manage that data every

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now and then so it's difficult for Edge

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Computing to manage that amount of data

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for that cloud computing is a still

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better choice hybrid solutions could be

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a next big thing in the industry where

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we can have the reliability of low

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latencies and have

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um

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scalability of cloud computing so

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companies like who are sell superbase

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are work working on it so maybe next few

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years we'll have a solution like that

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so thank you everyone you can connect

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with me on Twitter or LinkedIn and if

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you want to chat about cloud computing

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Edge Computing back-end Services

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developer advocacy I'll be happy to

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catch up thank you

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[Applause]

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now speaker is asked not to take

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questions at this time are you still

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okay yep

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um well thank you very much for the talk

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you've given me a lot to think about and

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here is a mug and a thank you card

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thank you very much and another round of

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applause for our speaker

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[Applause]