On Cost-Aware Heterogeneous Cloudlet Deployment for Mobile Edge Computing

Abstract

Edge computing undertakes downlink cloud services and uplink terminal computing tasks, data interaction latency and network transmission cost are thus significantly reduced. Although a lot of research has been conducted in mobile edge computing (MEC), which assumed that all homogeneous cloudlets are placed in WMAN and user mobility is also ignored, little attention is paid to how to place heterogeneous cloudlets in wireless metropolitan area network (WMAN) to minimize the deployment cost of cloudlets. Meanwhile, the method of selecting an optimal access point (AP) for deployment, modeling and heuristic algorithm (HA) needs to be improved. Therefore, this paper design a new heterogeneous cloudlet deployment model considering the quality of service (QoS) and mobility of users, and the Improved Heuristic Algorithm (IHA) is proposed to minimize cloudlet deployment cost. The extensive simulations demonstrate that IHA is more efficient than HA and the designed model is superior to the existing work.

A Survey on Cloudlet Computation Optimization in the Mobile Edge Computing Environment

“…The primary drawback of offloading work to a remote cloud is the latency, which disrupts user experiences in interactive applications like mobile gaming [15]. Cloudlets get around this problem by giving users low-latency access to networkedge computing resources, which significantly boosts the efficiency of mobile applications [16]. The primary issue with WMAN is the deployment of fewer cloudlets with good services to end user.…”