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2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA) (2014)
Chongqing, China
Aug. 20, 2014 to Aug. 22, 2014
ISBN: 978-1-4799-3953-4
pp: 1-8
Chi-Sheng Shih , Embedded Systems and Wireless Networking Lab, Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University, China
Shun-Min Wang , Embedded Systems and Wireless Networking Lab, Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University, China
Joen Chen , Embedded Systems and Wireless Networking Lab, Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University, China
Yu-Hsin Wang , Embedded Systems and Wireless Networking Lab, Graduate Institute of Networking and Multimedia, Department of Computer Science and Information Engineering, National Taiwan University, China
ABSTRACT
The number and variety of applications for mobile devices continue to grow. However, the resources on mobile devices including computation and storage do not keep pace with the growth. Incorporating the computation capacity on cloud servers into mobile computing has been desired. However, there are numbers of challenging issues to realize it. In this work, we design and implement an elastic computation framework to take advantage the computation capacity on connected devices, to meet the computation demands of ever growing mobile applications. The computation framework enables resource-aware workload migration between mobile devices and connected computers. The framework was experimented and evaluated on cuckoos framework with Android applications, where communication and computation resources are taken into account. The experiments show that the application can be executed with dynamic allocated resources, either local or remote, to enhance its performance. With the elastic framework, the runtime environment can allocate local and remote resources to mobile applications with resource-aware policies.
INDEX TERMS
Androids, Humanoid robots, Mobile handsets, Servers, Loading, Performance evaluation, Mobile communication
CITATION
Chi-Sheng Shih, Shun-Min Wang, Joen Chen, Yu-Hsin Wang, "Workload migration framework for streaming applications on smartphones", 2014 IEEE 20th International Conference on Embedded and Real-Time Computing Systems and Applications (RTCSA), vol. 00, no. , pp. 1-8, 2014, doi:10.1109/RTCSA.2014.6910516
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