TY - GEN
T1 - Offload (only) the right jobs
T2 - 16th IEEE International Symposium on a World of Wireless, Mobile and Multimedia Networks, WoWMoM 2015
AU - Hyytia, Esa
AU - Spyropoulos, Thrasyvoulos
AU - Ott, Jorg
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/7/14
Y1 - 2015/7/14
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=84943189712&partnerID=8YFLogxK
U2 - 10.1109/WoWMoM.2015.7158127
DO - 10.1109/WoWMoM.2015.7158127
M3 - Conference contribution
AN - SCOPUS:84943189712
T3 - Proceedings of the WoWMoM 2015: A World of Wireless Mobile and Multimedia Networks
BT - Proceedings of the WoWMoM 2015
A2 - Bononi, Luciano
A2 - Noubir, Guevara
A2 - Manfredi, Victoria
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 14 June 2015 through 17 June 2015
ER -
