green cloud computing

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GREEN CLOUD COMPUTING Rohit Sinha (2BV07CS081) BVBCET - Hubli www.rohitsinha.com

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Page 1: Green cloud computing

GREEN CLOUD COMPUTING

Rohit Sinha(2BV07CS081)BVBCET - Hubli www.rohitsinha.com

Page 2: Green cloud computing

CLOUD COMPUTING ?

• Cloud computing is a model of enabling convenient, on-demand network access to shared pool of configurable computing resources that can be rapidly provisioned and released with minimal management effort or service provider interaction.

Page 3: Green cloud computing

NEED FOR CLOUD COMPUTING

January Month

Page 4: Green cloud computing

Happening Cloud Computing

• The iPad relies upon cloud-based computing to stream video, download music and books, and fetch email.

• Google’s signature products - Gmail, Google Documents and Google Earth - are delivered from the cloud.

• Its ambitious project to create a digital library will be entirely hosted by servers storing most of the world’s published work, all in digitized form.

Page 5: Green cloud computing

GREEN CLOUD COMPUTING

• Green computing is the study and practice of using computing resources effectively.

• Green Cloud computing is envisioned to achieve not only efficient processing and utilization of computing infrastructure, but also minimize energy consumption.

Page 6: Green cloud computing

CLOUD SERVICE MODELS• Software as a Service: The software is present on clouds and all type

processing is done on cloud only. This feature allows users to access the software from any computer which is connected to the internet.

• Storage as a Service: This service allow user to outsource their data storage needs to the cloud. The user store all his/her files on cloud but the all kind of processing is done on user’s PC

• Processing as a Service: This model provides user the functionality to process complex computation on cloud which consists of powerful servers. Tasks which demand less processing power are carried on user’s PC only.

Page 7: Green cloud computing

SUMMARY OF MODELS

  Software as a Service Storage as a Service Processing as a Service

Location of Processing Cloud ClientShort task at client,

Large tasks in cloud

Location of Storage Cloud Cloud Client

Function of TransportTransmit commands and

receive resultsAll files/documents Files for large tasks

Page 8: Green cloud computing

ANALYSIS OF CLOUD SERVICES

• In this section we will compare the per-user energy consumption of each cloud service mentioned in section II using energy models. We will also compare the energy consumption against the energy consumption of conventional computing.

• We have two types of cloud public cloud and private cloud. In this section ET is the per bit energy consumption of transport. For

• Private cloud: ET = EC which represent transport through corporate network.

• Public cloud: ET = EI which represent transport through internet.

Page 9: Green cloud computing

STORAGE AS A SERVICEPUBLIC CLOUD PRIVATE CLOUD

Page 10: Green cloud computing

Per user power consumption of public and private cloud storage services as function of download rate. Also included is the power

consumption of a modern laptop HDD. The average document size is 1.25MB

Page 11: Green cloud computing

SOFTWARE AS A SERVICEPUBLIC CLOUD PRIVATE CLOUD

Page 12: Green cloud computing

Per-user power consumption of public and private cloud software as a function of download rate. Also included is the power consumption of a low-

end laptop and the power consumption at idle of a modern midrange computer

Page 13: Green cloud computing

PROCESSING AS A SERVICEPUBLIC CLOUD PRIVATE CLOUD

Page 14: Green cloud computing

Power consumption of public and private cloud processing services as a function of encoding per week. Also included is the power consumption of a modern midrange PC and the power consumption of a modern idle of a high-

end PC

Page 15: Green cloud computing

SUMMARY OF RESULTS

Energy Component Service TypeSoftware  as  a 

ServiceStorage as a Service

Processing  as  a 

Service

Transport

Public High frame rates AlwaysMedium to high

encoding per week

Private Never High download rates Never

Storage

Public Never Low download rates -

Private Never Low download rates -

Processing

Public Few users per server NeverMedium to high

encoding per week

Private Few users per server High download ratesMedium to high

encoding per week

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CONCLUSION• Power consumption in transport represents a significant proportion of total power

consumption for cloud storage services at medium and high usage rates. • For typical networks used to deliver cloud services today, public cloud storage can consume of

the order of three to four times more power than private cloud storage due to the increased energy consumption in transport.

• Nevertheless, private and public cloud storage services are more energy efficient than storage on local hard disk drives when files are only occasionally accessed. However, as the number of file downloads per hour increases, the energy consumption in transport grows and storage as a service consumes more power than storage on local hard disk drives.

• In cloud software services, power consumption in transport is negligibly small at very low screen refresh rates. As a result, cloud services are more efficient than modern midrange PCs for simple office tasks.

• At moderate and high screen refresh rates, power consumption in transport becomes significant and energy savings over midrange PCs are reduced.

• Significant energy savings are achieved by using low-end laptops for routine tasks and cloud processing services for computationally intensive tasks, instead of a midrange or high-end PC, provided the number of computationally intensive tasks is small.

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BIBLOGRAPHY

• [1] CISCO. (2009). CISCO VISUAL NETWORKING INDEX: FORECAST AND METHODOLOGY, 2009–2014. WHITE PAPER. [ONLINE]. AVAILABLE: HTTP://WWW.CISCO.COM.

• [2] A. WEISS, “COMPUTING IN THE CLOUDS,”NETWORKER, VOL. 11, NO. 4, PP. 16–25, 2007. • [3] B. HAYES, “CLOUD COMPUTING,” COMMUN. ACM, VOL. 51, NO. 7, PP. 9–11, 2008. • [4] T. SINGH AND P. K. VARA, BSMART METERING THE CLOUDS,[ IN PROC. IEEE INT.

WORKSHOPS ENABLING TECHNOL., INFRASTRUCTURES FOR COLLABORATIVE ENTERPRISES, GRONINGEN, THE NETHERLANDS, JUN.–JUL. 2009, PP. 66–71.

• [5] D. KONDO, B. JAVADI, P. MALECOT, F. CAPPELLO, AND D. P. ANDERSON, “COST-BENEFIT ANALYSIS OF CLOUD COMPUTING VERSUS DESKTOP GRIDS,” IN PROC. IEEE INT. SYMP. PARALLEL DISTRIB. PROCESS., ROME, ITALY, MAY 2009, DOI: 10.1109/IPDPS. 2009.5160911.

• [6] OPEN CLOUD MANIFESTO. [ONLINE]. AVAILABLE: HTTP://WWW.OPENCLOUDMANIFESTO.ORG/

• [7] GOOGLE DOCS. [ONLINE]. AVAILABLE: HTTP://DOCS.GOOGLE.COM • [8] AMAZON WEB SERVICES. [ONLINE]. AVAILABLE: HTTP://AWS.AMAZON.COM • [9] AZURE SERVICES PLATFORM. [ONLINE]. AVAILABLE:

HTTP://WWW.MICROSOFT.COM/AZURE• [10] IBM SMART BUSINESS SERVICES. [ONLINE]. AVAILABLE:

HTTP://WWW.IBM.COM/IBM/CLOUD

Page 18: Green cloud computing

THANK YOU