Ecole d'ingénieur et centre de recherche en Sciences du numérique

Offload (Only) the right jobs: Robust offloading using the Markov decision processes

Hyytiä, Esa; Spyropoulos, Thrasyvoulos; Ott, Joerg

WOWMOM 2015, IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, June 14-17, 2015, Boston, MA, USA

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 is typically two ways to access the cloud: 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

Document Doi Bibtex

Titre:Offload (Only) the right jobs: Robust offloading using the Markov decision processes
Département:Systèmes de Communication
Eurecom ref:4603
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Bibtex: @inproceedings{EURECOM+4603, doi = {}, year = {2015}, title = {{O}ffload ({O}nly) the right jobs: {R}obust offloading using the {M}arkov decision processes}, author = {{H}yyti{\"a}, {E}sa and {S}pyropoulos, {T}hrasyvoulos and {O}tt, {J}oerg}, booktitle = {{WOWMOM} 2015, {IEEE} {I}nternational {S}ymposium on a {W}orld of {W}ireless, {M}obile and {M}ultimedia {N}etworks, {J}une 14-17, 2015, {B}oston, {MA}, {USA}}, address = {{B}oston, {\'{E}}{TATS}-{UNIS}}, month = {06}, url = {} }
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