Name
Title | ||
|---|---|---|
Age Based Task Scheduling and Computation Offloading in Mobile-Edge Computing Systems |
Abstract | ||
|---|---|---|
To support emerging real-time monitoring and control applications, the timeliness of computation results is of critical importance to mobile-edge computing (MEC) systems. We propose a performance metric called age of task (AoT) based on the concept of age of information (AoI), to evaluate the temporal value of computation tasks. In this paper, we consider a system consisting of a single MEC server and one mobile device running several applications. We study an age minimization problem by jointly considering task scheduling, computation offloading and energy consumption. To solve the problem efficiently, we propose a light-weight task scheduling and computation offloading algorithm. Through performance evaluation, we show that our proposed age-based solution is competitive when compared with traditional strategies. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/WCNCW.2019.8902529 | 2019 IEEE Wireless Communications and Networking Conference Workshop (WCNCW) |
Keywords | Field | DocType |
Mobile-edge computing (MEC),age of task (AoT),task scheduling,computation offloading | Computer science,Scheduling (computing),Performance metric,Computation offloading,Mobile device,Mobile edge computing,Energy consumption,Information Age,Computation,Distributed computing | Journal |
Volume | ISSN | ISBN |
abs/1905.11570 | 2167-8189 | 978-1-7281-0923-7 |
Citations | PageRank | References |
2 | 0.39 | 9 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xianxin Song | 1 | 2 | 0.39 |
| Xiaoqi Qin | 2 | 21 | 6.47 |
| Yunzheng Tao | 3 | 2 | 0.73 |
| Baoling Liu | 4 | 5 | 4.51 |
| Ping Zhang | 5 | 223 | 21.33 |