Name
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. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/CCNC.2019.8651745 | 2019 16th IEEE Annual Consumer Communications & Networking Conference (CCNC) |
Keywords | Field | DocType |
Task analysis,Bandwidth,Cloud computing,Resource management,Optimization,Mobile handsets,Conferences | Resource management,Task analysis,Computer science,Computer network,Computation offloading,Mobile device,Bandwidth (signal processing),Mobile edge computing,Computation,Cloud computing,Distributed computing | Conference |
ISSN | ISBN | Citations |
2331-9852 | 978-1-5386-5553-5 | 1 |
PageRank | References | Authors |
0.35 | 0 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Sabyasachi Gupta | 1 | 1 | 0.35 |
| Angel Lozano | 2 | 2276 | 94.86 |