Abstract | ||
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In this paper, we focus on the problem of offloading of jobs composed of dependent tasks in a mobile edge network (MEN). We formalise the problem and develop a heuristic lower the completion time of a job executing in MEN than when executing on a mobile device. We show the viability of the heuristic through our simulation results. |
Year | DOI | Venue |
---|---|---|
2019 | 10.1109/IPCCC47392.2019.8958726 | 2019 IEEE 38th International Performance Computing and Communications Conference (IPCCC) |
Keywords | Field | DocType |
Computational offloading,dependent tasks,mobile edge,NS3. | Heuristic,Scheduling (computing),Computer science,Computer network,Enhanced Data Rates for GSM Evolution,Mobile device | Conference |
ISSN | ISBN | Citations |
1097-2641 | 978-1-7281-1026-4 | 0 |
PageRank | References | Authors |
0.34 | 4 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Mohammed Maray | 1 | 0 | 0.34 |
Arshad Jhumka | 2 | 1 | 5.42 |
A. P. Chester | 3 | 30 | 3.49 |
Mohamed F. Younis | 4 | 7 | 5.94 |