Can Cloud Computing Can Cloud Computing and Optical Networking and - - PowerPoint PPT Presentation

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Can Cloud Computing Can Cloud Computing and Optical Networking and - - PowerPoint PPT Presentation

Can Cloud Computing Can Cloud Computing and Optical Networking and Optical Networking S S Save the Planet? Save the Planet? th th Pl Pl t? t? Rod Tucker, Jayant Baliga, Robert Ayre, Kerry Hinton ARC Special Research Centre for


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SLIDE 1

Can Cloud Computing Can Cloud Computing and Optical Networking and Optical Networking S th Pl t? S th Pl t? Save the Planet? Save the Planet?

Rod Tucker, Jayant Baliga, Robert Ayre, Kerry Hinton ARC Special Research Centre for Ultra-Broadband Information Networks (CUBIN) University of Melbourne r.tucker@ee.unimelb.edu.au

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SLIDE 2

Cloud Computing Cloud Computing

What do the following have in common?

  • Happiness
  • Love
  • Marketing Hype
  • Recession
  • Cloud Computing

p g They all mean different things to different people

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SLIDE 3

Summary Summary

Cloud Computing as a Logistics Problem Cloud Computing as a Logistics Problem Key elements of logistics

  • Processing
  • Storage

Energy costs Storage

  • Transport

Energy costs

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SLIDE 4

Cloud Computing Energy Model Cloud Computing Energy Model

Computer, Storage Servers, Storage Enterprise Data Center PON Access Network Core Network

OLT Splitter

ONU

Fiber

Processors PON Access Network

Broadband Network G

Core Router

Total Energy

Edge Routers

Gateways

OXC

Total Energy Consumption = Energy/bit used in

M t /Ed N t k

Ethernet Switch

Servers,

  • Storage
  • Transport
  • Processing

Metro/Edge Network Processors Storage Public Data Center

X Total number of bits

Cloud

Public Data Center

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SLIDE 5

Network Energy Model Network Energy Model

1000

2009 2009 nJ)

100

per bit (n

10

Energy

0 1 1 0 01 0.1 0.01 Optical Amp PoS WDM Tx/Rx Ethernet Switch Core Router PON ONU (10 Mb/s) Server

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SLIDE 6

Data Centre Energy Model Data Centre Energy Model

Servers 430 nJ/b Edge Router 26 nJ/b 430 nJ/b 26 nJ/b Storage 8 pW/b p [29 nJ/hr/b] LAN – 2 stages of aggregation using Ethernet switches Watts not Joules g

Baliga et al., OThT6

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SLIDE 7

User Hardware Energy Model User Hardware Energy Model

  • End user computer:

– High Energy Use Desktop 140 Watts

  • Eg. Intel Quad-core, or older P4, mid-range graphics

– Modern mid-range Desktop 70 Watts

  • Eg. Intel Core Duo 2.5 GHz, 2 GB RAM, mid-range graphics

– Low-end Desktop/Thin Client 18 Watts

  • Eg. Intel Atom 1.6 GHz, 2 GB RAM, chipset-based graphics

g , , p g p

– Ignore monitor (LCD/CRT) energy consumption

  • This will be similar in all our comparisons
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SLIDE 8

Outsource to Cloud or Oversize Computer? Outsource to Cloud or Oversize Computer?

Should I use a low-end Computer & Outsource Jobs

Computing Resource Service Center

Outsource jobs

Metro/Edge Network Access Network

Low energy consumption. consumption.

OR

Use a high-end computer that

  • OR -

g p can handle any of my jobs

But high energy consumption even for light jobs for light jobs

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SLIDE 9

Consider Three Scenarios Consider Three Scenarios

  • 1. Software-as-a-Service

– Stored on user’s computer with updates downloaded regularly

  • Eg current anti-virus software model extended to mainstream

applications, MS Update (weekly patch) model

2 S i B

  • 2. Service Bureau

– Most tasks done on lower end user machine,

  • utsource the “big” jobs
  • 3. Computing-as-a-Service

– Hosted and run on provider’s computer “farm” with data initially Hosted and run on provider s computer farm with data initially uploaded from user

  • User data may be hosted or locally stored
  • Like enterprise “Thin Client” model

Like enterprise Thin Client model

Can cloud computing save energy ?

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SLIDE 10
  • 1. Software
  • 1. Software-
  • as

as-

  • a

a-

  • Service

Service

Service Center I want to use the Word Processor Data Center Processor Mid-range Computer Metro/Edge Network Access Network Software as a Service

  • Software maintenance

Software-as-a-Service

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SLIDE 11
  • 1. Software
  • 1. Software-
  • as

as-

  • a

a-

  • Service

Service

Service Center Data Center Here is the latest version or patch Mid-range Computer Metro/Edge Network Access Network Software as a Service

  • Software maintenance

Software-as-a-Service

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SLIDE 12

2.

  • 2. Service Bureau

Service Bureau

Here is my raw Service Center Computing Resource video footage and edit commands Mid-range Computer Metro/Edge Network Access Network Service Bureau Hardware & Software Service Bureau – Hardware & Software

  • Service Bureau for “Big” Jobs
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SLIDE 13

2.

  • 2. Service Bureau

Service Bureau

Service Center Computing Resource Here is your DVD Image Mid-range Computer Metro/Edge Network Access Network Service Bureau Hardware & Software Service Bureau – Hardware & Software

  • Service Bureau for “Big” Jobs
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SLIDE 14
  • 3. Computing
  • 3. Computing-
  • as

as-

  • a

a-

  • Service

Service

Service Center Enterprise Server Metro/Edge Network Access Network Here is the new data for my spreadsheet p Computing (Hardware and Software-as- Low-end or “Thin Client” C t

  • Centralised Storage and Processing

Computing (Hardware and Software-as- a-Service) Computer

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SLIDE 15

3.

  • 3. Computing

Computing-

  • as

as-

  • a

a-

  • Service

Service

Service Center Enterprise Server Metro/Edge Network Access Network Here is the

  • utput file to

print or e-mail Computing (Hardware and Software-as- p

  • Centralised Storage and Processing

Computing (Hardware and Software-as- a-Service) Low-end or “Thin Client” C t Computer

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SLIDE 16
  • 1. Software
  • 1. Software-
  • as

as-

  • a

a-

  • Service Example

Service Example

  • Energy impact of the

Store on Local Disk or in the Cloud? Store on Local Disk or in the Cloud? gy p “Software as a Service” & “Storage as a Service” models

Service Centre Data Centre

  • Compare the energy cost to

store & transport 50 MB bl k t th

Access Network Metro Network

blocks to the user,

  • cf. store on local drive

U i 1GB d 5GB “ l d” t

  • Users require 1GB and 5GB “cloud” storage
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SLIDE 17
  • 1. Software
  • 1. Software-
  • as

as-

  • a

a-

  • Service Example

Service Example

Storage of application & data “in the cloud” compared with storing on a local disk. 50 MBytes per download. Modern laptop-style HDD 20% read/write and 80% idle.

Store on Local Disk or in the Cloud? Store on Local Disk or in the Cloud?

50 MBytes per download. Modern laptop style HDD 20% read/write and 80% idle.

100 ) 10 ption (W)

Transport energy dominates L l HDD

1 Consump

Local HDD

0.1 Power C

1 GB Cloud Storage 5 GB Cloud Storage

0.01 0.01 0.1 1 10 100 D l d H

1 GB Cloud Storage

Downloads per Hour

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SLIDE 18
  • 2. Service Bureau Example
  • 2. Service Bureau Example

Computer used for 20 hrs/week, plus some video encoding of ½ hour videos

160 180

  • n, W

Older Computer Transport

100 120 140

nsumptio Mid-range Computer Transport energy dominates

60 80 100

Power Con

20 40 60

Average P Low-end Computer & outsourcing

20 40 60 80 100 120

Number of Encodings per Week A Number of Encodings per Week

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SLIDE 19
  • 3. Computing
  • 3. Computing-
  • as

as-

  • a

a-

  • Service Example

Service Example

  • Office situation

Thin Client or Small PC in Office? Thin Client or Small PC in Office?

  • Office situation

– non-intensive tasks,

  • Should this office deploy:

Service Center Enterprise Server

Should this office deploy:

– a low-end machine per user OR “dumb, thin clients”?

Metro/Edge Network Access Network

  • Commonly, thin client would receive and display

HTML formatted data from the server Thi li t bilit b li it d t di l i

  • Thin client capability may be limited to displaying

bitmaps developed from its server

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SLIDE 20
  • 3. Computing
  • 3. Computing-
  • as

as-

  • a

a-

  • Service Example

Service Example

nt (W)

Thin Client compared to Small PC in Office Thin Client compared to Small PC in Office

5 7.5

Thin Clien

“local” server

2.5

g using T

Distant Server

  • 2.5

wer Saving

1% 2% 5% 10%

% of screen area updated

  • 5

1 2 3 4 5

Pow

area updated per second

Average Bitrate for Screen Refresh Mb/s

Thin client solution “green” only when the server is local Thin client solution green only when the server is local

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SLIDE 21

Summary Summary

  • Cloud Storage and Cloud Computing can provide

energy savings

– More so for less-demanding users – For handling the occasional intensive task

  • But...

– Advantages may be lost when data transfer is large – This is where optical networking needs to come to the rescue

Cl d C ti t th l t

  • Cloud Computing may not save the planet….

– But if used appropriately, it could help to mitigate the growth in energy consumption in our industry g gy p y – A classical Logistics problem