DocumentCode
3705852
Title
Increasing the efficiency of code offloading through remote-side caching
Author
Florian Berg;Frank D?rr;Kurt Rothermel
Author_Institution
Institute of Parallel and Distributed Systems University of Stuttgart 70569 Stuttgart, Germany
fYear
2015
Firstpage
573
Lastpage
580
Abstract
End users execute today on their smart phones different kinds of mobile applications like calendar apps or high-end mobile games, differing in local resource usage. Utilizing local resources of a smart phone heavily, like playing high-end mobile games, drains its limited energy resource in few hours. To prevent the limited energy resource from a quick exhaustion, smart phones benefit from executing resource-intensive application parts on a remote server in the cloud (code offloading). During the remote execution on the remote server, a smart phone waits in idle mode until it receives a result. However, code offloading introduces computation and communication overhead, which decreases the energy efficiency and induces monetary cost. For instance, sending or receiving execution state information to or from a remote server consumes energy. Moreover, executing code on a remote server instance in a commercial cloud causes monetary cost. To keep consumed energy and monetary cost low, we present in this paper the concept of remote-side caching for code offloading, which increases the efficiency of code offloading. The remote-side cache serves as a collective storage of results for already executed application parts on remote servers, avoiding the repeated execution of previously run application parts. The smart phone queries the remote-side cache for corresponding results of resource-intensive application parts. In case of a cache hit, the smart phone gets immediately a result and continues the application execution. Otherwise, it migrates the application part and waits for a result of the remote execution. We show in our evaluation that the use of a remote-side cache decreases energy consumption and monetary cost for mobile applications by up to 97% and 99%, respectively.
Keywords
"Servers","Cloud computing","Smart phones","Energy consumption","Hardware","Mobile applications"
Publisher
ieee
Conference_Titel
Wireless and Mobile Computing, Networking and Communications (WiMob), 2015 IEEE 11th International Conference on
Type
conf
DOI
10.1109/WiMOB.2015.7348013
Filename
7348013
Link To Document