ISSN 1000-1239 CN 11-1777/TP

Journal of Computer Research and Development ›› 2018, Vol. 55 ›› Issue (3): 512-523.doi: 10.7544/issn1000-1239.2018.20170793

Special Issue: 2018边缘计算专题

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Application Driven Network Latency Measurement Analysis and Optimization Techniques Edge Computing Environment: A Survey

Fu Yongquan , Li Dongsheng   

  1. (College of Computer, National University of Defense Technology, Changsha 410073) (Science and Technology on Parallel and Distributed Laboratory, National University of Defense Technology, Changsha 410073)
  • Online:2018-03-01

Abstract: The technical advancements of Internet, mobile computing and Internet of things (IoT) have been pushing the deep integration of human, machine and things, which fostered a lot of end-users oriented network search, online social networks, economical business, video surveillance and intelligent assistant tools, which are typically referred to as online data-intensive applications. These new applications are of large scale and sensitive to the service quality, requiring stringent latency performance. However, end-user requests traverse heterogeneous environments including edge network, wide-area network and the data center, which naturally incurs a long-tail latency issue that significantly degrades users’ experience quality. This paper surveys architectural characteristics of edge-computing applications, analyzes causes of the long-tail latency issue, categorizes key theories and methods of the network latency measurement, summarizes long-tail latency optimization techniques, and finally proposes the idea of constructing an online optimization runtime environment and discusses some open challenges.

Key words: edge network, edge-computing applications, long-tail latency, measurement, optimization

CLC Number: