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Computation-Bandwidth Trading for Mobile Edge Computing

descriptionPublicationkeyboard_double_arrow_right Article , Conference object 01 Jan 2019 Spain Publisher:IEEEJournal:2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC)Funded by:EC | POSTCELL

Authors: Gupta, Sabyasachi; Lozano, Angel;

doi: 10.1109/ccnc.2019.8651745

handle: 10230/37088

Computation-Bandwidth Trading for Mobile Edge Computing

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Abstract

We consider the problem of mobile computation offloading to both an edge cloud and to peer devices, and propose bandwidth incentives for those peer devices. Based on this idea, we formulate a joint optimization of the share of computations that are offloaded to the cloud and to peers, the identity of those assisting peers, and the allocation of computational resources at the cloud. The solutions derived from this optimization allow reducing by roughly 40% the completion time of computation tasks at the mobile devices, thereby facilitating the operation of latency-demanding applications.

Angel Lozano’s work is funded by the European Research Council (ERC) under the European Union’s H2020 Framework Research Programme (grant agreement No 694974).

Country

Spain

Related Organizations

Universitat Pompeu Fabra
Spain

Keywords

Optimization, Mobile handsets, Bandwidth, Resource management, Task analysis, Conferences, Cloud computing

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	5
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	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%