MDP-Based Offloading Trend Prediction Method for Multimedia Services in Edge Computing
C. S. George Lee
Abstract
C. S. George Lee
Abstract
This paper is a method for efficient data processing trend prediction in edge computing, where many studies have recently been conducted. For distributed processing in edge computing, offloading method from each edge must be processed within the limited computing power of the edge. Thus, in the user devices, it needs to efficiently select the edge in consideration of edge performance and data processing trend with MDP. This paper provides an efficient offloading scheme by selecting edges and distributing the traffic in the edge. As a result, our method is to offload effectively to the edge because it considers both data processing trends based on MDP and the performance of the edge compared with the existing offloading methods.
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This paper is a method for efficient data processing trend prediction in edge computing, where many studies have recently been conducted. For distributed processing in edge computing, offloading method from each edge must be processed within the limited computing power of the edge. Thus, in the user devices, it needs to efficiently select the edge in consideration of edge performance and data processing trend with MDP. This paper provides an efficient offloading scheme by selecting edges and distributing the traffic in the edge. As a result, our method is to offload effectively to the edge because it considers both data processing trends based on MDP and the performance of the edge compared with the existing offloading methods.
Key concepts: Edge computing, Enhanced Data Rates for GSM Evolution, Computer science, Edge device, Data processing, Scheme (mathematics), Distributed computing, Cloud computing