Name
Abstract | ||
|---|---|---|
Mobile applications in the present have created tremendous pressure on the computational capabilities of user equipments. Against this background, mobile edge computing (MEC) has been proposed to tackle this issue, e.g., by shifting the computational workload to the edge server. We in this paper consider a caching enabled task offloading in MEC, for the sake of joint optimization of task offloading and caching. We consider both energy consumption and response latency in the optimization problem and solve the problem by an alternate optimization algorithm. Extensive experiments have been conducted to evaluate the algorithm and the simulation results have shown its advantages such as rapid response latency and powerful convergence capability. |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/IWCMC51323.2021.9498725 | IWCMC 2021: 2021 17TH INTERNATIONAL WIRELESS COMMUNICATIONS & MOBILE COMPUTING CONFERENCE (IWCMC) |
Keywords | DocType | ISSN |
Mobile edge computing, task offloading, task caching, jointly, alternate optimization | Conference | 2376-6492 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaogang Tang | 1 | 48 | 9.96 |
| Chunsheng Zhu | 2 | 0 | 0.34 |
| Xianglin Wei | 3 | 0 | 0.34 |
| Huaming Wu | 4 | 81 | 14.49 |
| Qing Li | 5 | 3222 | 433.87 |
| Joel J. P. C. Rodrigues | 6 | 0 | 0.68 |