Gupta, SabyasachiLozano Solsona, Angel2019-04-112019Gupta S, Lozano A. Computation-bandwidth trading for mobile edge computing. In: 16th IEEE Consumer Communications & Networking Conference; 2019 Jan 11-14; Las Vegas, USA. New Jersey: Institute of Electrical and Electronics Engineers; 2019. [6 p.]. DOI: 10.1109/CCNC.2019.8651745http://hdl.handle.net/10230/37088We 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.application/pdfeng© 2019 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. http://dx.doi.org/10.1109/CCNC.2019.8651745info:eu-repo/semantics/articlehttp://dx.doi.org/10.1109/CCNC.2019.8651745Task analysisBandwidthCloud computingResource managementOptimizationMobile handsetsConferencesinfo:eu-repo/semantics/openAccess