An optimal control policy in a mobile cloud computing system based on stochastic data

Xue Lin, Yanzhi Wang, Massoud Pedram

Research output: Chapter in Book/Report/Conference proceedingConference contribution

6 Scopus citations

Abstract

The emerging mobile cloud computing (MCC) paradigm has the potential to extend the capabilities of battery-powered mobile devices. Lots of research work have been conducted for improving the performance and reducing the power consumption for the mobile devices in the MCC paradigm. Different from the previous work, we investigate the effect of the inter-charging interval (ICI) length on the mobile device control decisions, including the offloading decision of each service request and the CPU operating frequency for processing local requests. Generally, the length of an ICI is uncertain to the mobile device controller and only stochastic data are known. We first define the expected 'performance sum' as the objective function, which essentially captures a desirable trade-off between performance and power consumption of the mobile device and accounts for the ICI length uncertainty. We prove that the best-suited control decisions should change as time elapses to take into account the effect of ICI length variations. We propose a dynamic programming algorithm, which can derive the optimal control policy of the mobile device to maximize the expected performance sum.

Original languageEnglish (US)
Title of host publicationProceedings of the 2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013
Pages117-122
Number of pages6
DOIs
StatePublished - Dec 1 2013
Event2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013 - San Francisco, CA, United States
Duration: Nov 11 2013Nov 13 2013

Publication series

NameProceedings of the 2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013

Other

Other2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013
CountryUnited States
CitySan Francisco, CA
Period11/11/1311/13/13

Keywords

  • dynamic voltage
  • frequency scaling
  • mobile cloud computing
  • remote processing

ASJC Scopus subject areas

  • Software

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  • Cite this

    Lin, X., Wang, Y., & Pedram, M. (2013). An optimal control policy in a mobile cloud computing system based on stochastic data. In Proceedings of the 2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013 (pp. 117-122). [6710565] (Proceedings of the 2013 IEEE 2nd International Conference on Cloud Networking, CloudNet 2013). https://doi.org/10.1109/CloudNet.2013.6710565