DocumentCode :
3663560
Title :
Facilitating the Implementation of Adaptive Cloud Offloading to Improve the Energy Efficiency of Mobile Applications
Author :
Young-Woo Kwon;Eli Tilevich
fYear :
2015
fDate :
5/1/2015 12:00:00 AM
Firstpage :
94
Lastpage :
104
Abstract :
Cloud offloading -- leveraging remote cloud-based computing resources to execute energy-intensive functionality -- has become a common optimization technique for mobile applications. However, implementing cloud offloading techniques remains a delicate and complex task, reserved for expert programmers. If cloud computing is to realize its promise as a generally applicable, powerful optimization technique for mobile applications, its implementation barrier must be lowered. As we have discovered, reusable system building blocks exposed via a convenient programming model can facilitate the implementation of complex cloud offloading optimizations. This paper describes a system architecture for implementing adaptive cloud offloading optimizations. In particular, the architecture features parameterizable building blocks for monitoring and estimating energy consumption and performance efficiency as well as state synchronization across address spaces, which the mobile programmer can use a la carte. These blocks streamline the implementation procedure for a wide array of adaptive offloading optimizations. Applying this system architecture to third-party mobile applications has optimized their energy efficiency, depending on the execution environment in place.
Keywords :
"Optimization","Systems architecture","Runtime","Mobile communication","Mobile applications","Programming","Servers"
Publisher :
ieee
Conference_Titel :
Mobile Software Engineering and Systems (MOBILESoft), 2015 2nd ACM International Conference on
Type :
conf
DOI :
10.1109/MobileSoft.2015.21
Filename :
7283034
Link To Document :
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