论文部分内容阅读
With the dawning of the Intet of Everything (IoE) era, more and more novel applications are being deployed. However, resource constrained devices cannot fulfill the resource-requirements of these applications. This paper investigates the computation off-loading problem of the coexistence and syner-gy between fog computing and cloud comput-ing in IoE by jointly optimizing the offloading decisions, the allocation of computation resource and transmit power. Specifically, we propose an energy-efficient computation offloading and resource allocation (ECORA) scheme to minimize the system cost. The sim-ulation results verify the proposed scheme can effectively decrease the system cost by up to 50％ compared with the existing schemes, es-pecially for the scenario that the computation resource of fog computing is relatively small or the number of devices increases.