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| Title | Time-Efficient Task Caching Strategy For Multi-Server Mobile Edge Cloud Computing |
|---|---|
| ID_Doc | 57432 |
| Authors | Chen W.; Han L. |
| Year | 2019 |
| Published | Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019 |
| DOI | http://dx.doi.org/10.1109/HPCC/SmartCity/DSS.2019.00198 |
| Abstract | Caching tasks to mobile edge cloud (MEC) servers is proven an effective solution for enabling request-duplicate applications on mobile devices (MDs). Moreover, in view of many users in the same proximity are more inclined to require the same computation tasks, reasonable task deployment strategy can reduce task response delay significantly. This promotes us to design an effective task caching policy to save the task computing time for the same computation requests. In this paper, we consider the scenario where multiple mobile devices request computing tasks from a fixed task set to multiple servers, including MEC servers, agent server and remote center cloud server. MEC servers can share the cached contents through the proxy server to serve the MDs. Only when there is no cache for a task in MEC servers, MD sends the computation request to remote center server. The goal of this paper is to propose an effective task caching strategy for the MEC servers to minimize the overall response time at the mobile terminal side. To this end, we propose the multi-user multi-server task caching scheme (MUMSC) for the mobile edge computing system. Simulation results show that compared with other caching policies, MUMSC is the the optimal in response time and task hit ratio. © 2019 IEEE. |
| Author Keywords | mobile edge computing; multi-task multi-server scheduling; task caching |
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