Adaptive Replication for Real-Time Applications based on Mobile Edge Computing

Kuo-Shiang Hsu, Wan-Chi Chang, Wei-Hsun Huang, Pi-Chung Wang
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Abstract

With the popularity of mobile devices, data transmission between mobile devices and cloud datacenters not only introduces tremendous data computation and network traffic but also causes high transmission delay. Mobile edge computing (MEC) is proposed to improve Quality of Service (QoS) for mobile applications in 5G networks. However, the data consistency for mobile applications still relies on replication schemes. Frequent updates may thus result in high communication over-head and long transmission latency. In this paper, we design an adaptive replication scheme for real-time mobile applications by considering the number of failed requests and the read/write request ratios. Our scheme adaptively allocates replicas to share loads among MEC servers. It can avoid overloading MEC servers and shorten latency. The simulation results show that our scheme can reduce the response time of replication requests to increase QoS performance.
基于移动边缘计算的实时应用自适应复制
随着移动设备的普及,移动设备与云数据中心之间的数据传输不仅带来了巨大的数据计算量和网络流量,还造成了较高的传输时延。移动边缘计算(MEC)的提出是为了提高5G网络中移动应用的服务质量(QoS)。然而,移动应用程序的数据一致性仍然依赖于复制方案。频繁的更新可能导致高通信开销和长传输延迟。在本文中,我们设计了一种实时移动应用程序的自适应复制方案,考虑了失败请求的数量和读/写请求的比率。我们的方案自适应地分配副本以在MEC服务器之间共享负载。它可以避免MEC服务器过载,缩短延迟。仿真结果表明,该方案可以减少复制请求的响应时间,提高QoS性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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