Measuring performance and energy consumption when offloading from mobile devices

Mobile devices are becoming more and more popular and at the same time more powerful and power-hungry. Therefore, they represent the best example of systems that would benefit from lowering processing expectations by the use of offloading, because of the continuous lowering battery life and increasing Internet speed. This paper aims to help in discovering the best method of moving an algorithm, or a part of an application, to a more capable system. We will go through finding the performance metrics that describe an application, methods of measuring and the possible ways of using them.

[1]  A. Olteanu,et al.  Fault tolerant surveillance system based on a network of mobile devices , 2013, 2013 11th RoEduNet International Conference.

[2]  Tomás F. Pena,et al.  Hardware Counters Based Analysis of Memory Accesses in SMPs , 2012, 2012 IEEE 10th International Symposium on Parallel and Distributed Processing with Applications.

[3]  Yung-Hsiang Lu,et al.  Cloud Computing for Mobile Users: Can Offloading Computation Save Energy? , 2010, Computer.

[4]  Lei Yang,et al.  Accurate online power estimation and automatic battery behavior based power model generation for smartphones , 2010, 2010 IEEE/ACM/IFIP International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS).

[5]  Mahmut T. Kandemir,et al.  Studying energy trade offs in offloading computation/compilation in Java-enabled mobile devices , 2004, IEEE Transactions on Parallel and Distributed Systems.

[6]  Younghyun Kim,et al.  System-level power estimation using an on-chip bus performance monitoring unit , 2008, ICCAD 2008.

[7]  Gernot Heiser,et al.  An Analysis of Power Consumption in a Smartphone , 2010, USENIX Annual Technical Conference.

[8]  Alexandru Iosup,et al.  Extending the Capabilities of Mobile Devices for Online Social Applications through Cloud Offloading , 2013, 2013 13th IEEE/ACM International Symposium on Cluster, Cloud, and Grid Computing.

[9]  A. Olteanu,et al.  A marker-based augmented reality system for mobile devices , 2013, 2013 11th RoEduNet International Conference.