E. Hyytiä, T. Spyropoulos and J. Ott, Optimizing Offloading Strategies in Mobile Cloud Computing, 2013, (early version of IEEE WoWMoM'15 paper).
Abstract: We consider a dynamic offloading problem arising in the context of mobile cloud computing (MCC). In MCC, three types of tasks can be identified: (i) those which can be processed only locally in a mobile device, (ii) those which are processed in the cloud, and (iii) those which can be processed either in the mobile or in the cloud. For type (iii) tasks, it is of interest to consider when they should be processed locally and when in the cloud. Furthermore, for both type (ii) and (iii) tasks, there may be several ways to access the cloud (e.g., via a costly cellular connection, or via intermittently available WLAN hotspots). The optimal strategy involves multi-dimensional considerations such as the availability of WLAN hotspots, energy consumption, communication costs and the expected delays. We approach this challenging problem in the framework of Markov decision processes and derive a near-optimal offloading policy.
Links:
BibTeX entry:
@techreport{hyytia-tr-2013,
author = {Esa Hyyti{\"a} and Thrasyvoulos Spyropoulos and J{\"o}rg Ott},
title = {Optimizing Offloading Strategies in Mobile Cloud Computing},
note = {(early version of IEEE WoWMoM'15 paper)},
month = {Jul.},
year = {2013},
}