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Cloud computing for mobile users?Can Offloading computation save energy. . .

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Cloud computing for mobile users?Can Offloading computation save energy. . .

  1. 1. CLOUD COMPUTING FOR MOBILE USERS : CAN OFFLOADING COMPUTATION SAVE ENERGY? UNDER THE GUIDANCE OF: MR R.BALAMURALI HOD OF CSE SUBMITTED BY: V SAI KRISHNA CHAITANYA [10F81A0544]
  2. 2. ABSTRACT:     Mobile systems have limited resources such as battery lifetime, N/W Band width,storage capacity & processor performance. These restrictions can be alleviated by computation offloading. Cloud computing is a new paradigm in which computing resources are not physically present at users location. So cloud computing can provide energy savings as a service to mobile users.
  3. 3. INTRODUCTION: In the recent years there are many advancements in the Computing Technology.  The usage of computers started from Desktops, Main Frames ,Laptops & now Mobile phones.  In mobile phones now we are using embedded applications like Environmental Sensing & Gprs Navigation.  Most of these applications use wireless N/w’s & their Bandwidths are lower than wired N/w’s 
  4. 4. WHAT CLOUD GIVES US, GENERALLY If you want to set up a business.     Low initial capital investment Shorter start-up time for new services Lower maintenance and operation costs Easier disaster recovery
  5. 5. THE IMPORTANCE OF BATTERY LIFE-TIME OF MOBILE PHONES: Various studies have identified longer battery lifetime as the most desired feature of such systems.    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
  6. 6. 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 instructions M : The speed of mobile to compute C instructions D : The data need to transmit B : The bandwidth of the wireless Internet
  7. 7. SAMPLE APPLICATIONS NOT BENEFITING FROM OFFLOADING Regions like national parks  The basement of a building  Interior of a tunnel,  Subway. In these cases, where the value of B in Equation can become very small or even zero, cloud computing does not save energy. 
  8. 8. FUNDAMENTAL ASSUMPTIONS: There is a fundamental assumption under-lying this analysis with the client-server model: Because the server does not already contain the data, all the data must be sent to the service provider.  However, cloud computing changes that assumption: The cloud stores data and performs computation on it. 
  9. 9. WHEN CONSIDERING PRIVACY AND SECURITY:ENCRYPTION
  10. 10. WHEN CONSIDERING PRIVACY AND SECURITY:STEGANOGRAPHY
  11. 11. CONCLUSION:
  12. 12. CONCLUSION: Cloud computing can potentially save energy for mobile users.   Not all applications are energy efficient when migrated to the cloud.

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