HetMEC：异构移动边缘计算的延迟最优任务分配和资源分配
HetMEC: Latency-optimal Task Assignment and Resource Allocation for Heterogeneous Mobile Edge Computing
摘要：
由于对边缘设备（ED）的低延迟服务的巨大需求，已经提出了移动边缘计算（MEC）以实现无线电接入网络边缘处的计算能力。然而，传统的MEC服务器具有诸如有限的计算能力、阻止及时处理计算密集型任务的缺点。为了缓解这个问题，我们提出了异构MEC（HetMEC），其中不能在边缘及时处理的数据被允许卸载到上层MEC服务器，并最终卸载到具有更强大计算能力的云中心（CC）。我们设计的延迟最小化算法，共同协调的任务分配，计算和传输资源之间的ED，多层MEC服务器，和CC。仿真结果表明，我们提出的算法可以实现更低的延迟和更高的处理速率比传统的MEC方案。
英文摘要：
Driven by great demands on low-latency services of the edge devices (EDs), mobile edge computing (MEC) has been proposed to enable the computing capacities at the edge of the radio access network. However, conventional MEC servers suffer disadvantages such as limited computing capacity, preventing the computation-intensive tasks to be processed in time. To relief this issue, we propose the heterogeneous MEC (HetMEC) where the data that cannot be timely processed at the edge are allowed be offloaded to the upper-layer MEC servers, and finally to the cloud center (CC) with more powerful computing capacity. We design the latency minimization algorithm by jointly coordinating the task assignment, computing and transmission resources among the EDs, multi-layer MEC servers, and the CC. Simulation results indicate that our proposed algorithm can achieve a lower latency and higher processing rate than the conventional MEC scheme.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
