Call For Paper Volume:4 Issue:8 Aug'2017 |

Mobile Cloud-Data Processing And Energy Efficient Fault Tolerant Data storage

Publication Date : 06/04/2016



Author(s) :

Sandip P Kadam , Kanchan Doke , vijayajadhav.


Volume/Issue :
Volume 3
,
Issue 3
(04 - 2016)



Abstract :

Smartphones have gained enormous popularity over the past few years. Resource-ntensive applications (e.g., video and image storage and processing or map-reduce type) still remain off bounds since they require large computation and storage capabilities recent research has attempted to address these issues by employing remote servers, such as clouds and peer mobile devices.For mobile devices deployed in dynamic networks (i.e., with frequent topology changes because of node failure/unavailability and mobility as in a mobile cloud), however, challenges of reliability and energy efficiency remain largely unaddressed. The first to address these challenges in an integrated manner for both data storage and processing in mobile cloud, an approach is call k-out-of-n computing.In this solution, mobile devices successfully retrieve or process data, in the most energy-efficient way, as long as k out of n remote servers are accessible. Through a real system implementation it proves the feasibility of this approach. Extensive simulations demonstrate the fault tolerance and energy efficiency performance of this framework in larger scale networks.


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Mobile Cloud-Data Processing And Energy Efficient Fault Tolerant Data storage

March 24, 2016