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CLOUD COMPUTING FOR MOBILE USERS: CAN OFFLOADING COMPUTATION SAVE ENERGY?

Cloud computing for mobile users can offloading computation save energy

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Cloud computing for mobile users can offloading computation save energy

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Page 1: Cloud computing for mobile users can offloading computation save energy

CLOUD COMPUTING FOR MOBILE USERS: CAN OFFLOADING COMPUTATION SAVE

ENERGY?

Page 2: Cloud computing for mobile users can offloading computation save energy

INTRODUCTION:Cloud computing :

Cloud computing is an emerging computing paradigm where data and applications reside in the cyberspace, it allows users to access their data and information through any web-connected device be it fixed or mobile.

Page 3: Cloud computing for mobile users can offloading computation save energy

SaaS

PaaS

Iaas

Delivery Models of cloud computing:

Page 4: Cloud computing for mobile users can offloading computation save energy

Types of Cloud :

Public

Private

Hybrid

Community

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EXISTING SYSTEM:

The currently popular client-server computing model enables mobile users to launch Web browsers, search the Internet, and shop online.

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Problems in the Existence system:

Two main concerns:

mobile computing are limited energy

wireless bandwidth

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The importance of battery lifetime of mobile phones

Various studies have identified longer batterylifetime as the most desired feature of suchsystems.

longer battery life to be more important than all other features, including cameras or storage.

short battery life to be the most disliked characteristic of Apple’s iPhone 3GS

battery life was the top concern of music phone users.

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Adopt a new generation of semiconductor technology.

Execute programs slowly.

Avoid wasting energy. (when it is idle, sleep mode)

Eliminate computation all together. (offloading these applications to the cloud).

Basic approaches to saving energy and extending battery lifetime in mobile devices:

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Proposed System:

A service provider owns and manages resources (such as processing, memory, storage), and users access them via the Internet.

For example, Amazon Web Services

Simple Storage Service (S3): let users store personal dataElastic Compute Cloud (EC2): perform computations on stored data•There are several benefits in shifting computing from the desktop to the cloud.•The primary constraints for mobile computing are limited energy and wireless bandwidth.

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Can offloading these applications to the cloud save energy and extend battery lifetimes for mobile users?How to implement a quantitative study. The

amount of energy saved is

S : the speed of cloud to compute C instructionsM : the speed of mobile to compute C instructionsD : the data need to transmitB : the bandwidth of the wireless Internet

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Suppose the server is F times faster—that is, S= F × M. We can rewrite the formula as

Energy is saved when this formula produces apositive number. The formula is positive if D/Bis sufficiently small compared with C/M and Fis sufficiently large.

Can offloading these applications to the cloud save energy and extend battery lifetimes for mobile users?

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sample applications benefiting from offloading

chess game.A chessboard has 8 × 8 = 64 positions. Eachplayer controls 16 pieces at the beginning ofthe game. Each piece may be in one of the 64possible locations and needs 6 bits torepresent the location. To represent a chessgame’s current state, it is sufficient to statethat 6 bits × 32 pieces = 192 bits = 24 bytes;this is smaller than the size of a typicalwireless packet.

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MODULE DESCRIPTIONNo. of modules: After careful analysis the system has

been identified to have the following modules:

Vendor module

Mobile user module

Offloading computation to save energy module

Security management module

Management of data storage

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Encryption scenario for cloud computing

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Advantages

L0w initial capital investment.Shorter start-up time for new services.Lower maintenance and operation costs.Higher utilization through virtualization.Easier disaster recovery.

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cloud computing can potentially save energyfor mobile users.not all applications are energyefficient when migrated to the cloud. cloud computing services would besignificantly different from cloud services fordesktops because they must offer energysavings. The services should consider the energyoverhead for privacy, security, reliability,and data communication before offloading.

Conclusion

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System requirement specifications

Hardware requirements:

Hardware : pentiumSpeed : 1.1 GHzRAM : 1 GBHard disk : 3.5 GBFloppy disk: 1.44 MBKey board : standard windows keyboardMouse : two or three button mouseMonitor : SVGA

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Software requirements:

Operating system : windowsTechnology : java and j2EEWeb technologies : html,javascript,CSSIDE : my eclipseWeb server : TomcatTool kit : Android phoneDatabase : my SQLJava version :J2SDK1.5

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