Paper Info
Title
Ranking servers based on energy savings for computation offloading
Abstract
Offloading may save energy for battery-powered devices by migrating computation to grid-powered servers. Offloading can be provided as a service and the servers charge the devices' users based on the consumed resources. In this paper, we propose a scheme to rank the servers based on the amounts of energy savings. The ranking depends on two factors: (1) the energy saved due to offloading and (2) the energy consumed while waiting for the results. We instrument the offloaded programs to estimate the amounts of computation performed by the servers, and use this information to determine the amounts of saved energy. When the servers perform the offloaded computation, the battery-powered devices wait for the results and consume energy. The ratio of the two factors determines the rank of a server. If a server performs more computation within a shorter duration, the server is ranked higher. We implement our method on an HP iPAQ and demonstrate that our method can effectively rank servers based on energy savings.
Year
DOI
Venue
2009
10.1145/1594233.1594296
ISLPED
Keywords
Field
DocType
migrating computation,offloaded computation,ranking server,shorter duration,energy saving,computation offloading,offloaded program,grid-powered server,hp ipaq,battery-powered device
Ranking,Computer science,Server,Real-time computing,Computation offloading,Computation
Conference
Citations 
PageRank 
References 
3
0.49
16
Authors
3
Name
Order
Citations
PageRank
Karthik Kumar186338.37
Yamini Nimmagadda2513.63
Yung-Hsiang Lu32165161.51