From Cloud to Edge: A First Look at Public Edge Platforms

被引:67
作者
Xu, Mengwei [1 ]
Fu, Zhe [2 ]
Ma, Xiao [1 ]
Zhang, Li [1 ]
Li, Yanan [1 ]
Qian, Feng [3 ]
Wang, Shangguang [1 ]
Li, Ke
Yang, Jingyu
Liu, Xuanzhe [4 ]
机构
[1] Beijing Univ Posts & Telecommun, Beijing, Peoples R China
[2] Tsinghua Univ, Beijing, Peoples R China
[3] Univ Minnesota Twin Cities, Minneapolis, MN USA
[4] Peking Univ, Beijing, Peoples R China
来源
PROCEEDINGS OF THE 2021 ACM INTERNET MEASUREMENT CONFERENCE, IMC 2021 | 2021年
基金
中国国家自然科学基金; 国家重点研发计划;
关键词
Measurement Study; Edge Computing; Workloads Analysis;
D O I
10.1145/3487552.3487815
中图分类号
TP301 [理论、方法];
学科分类号
081202 ;
摘要
Public edge platforms have drawn increasing attention from both academia and industry. In this study, we perform a first-of-its-kind measurement study on a leading public edge platform that has been densely deployed in China. Based on this measurement, we quantitatively answer two critical yet unexplored questions. First, from end users' perspective, what is the performance of commodity edge platforms compared to cloud, in terms of the end-to-end network delay, throughput, and the application QoE. Second, from the edge service provider's perspective, how are the edge workloads different from cloud, in terms of their VM subscription, monetary cost, and resource usage. Our study quantitatively reveals the status quo of today's public edge platforms, and provides crucial insights towards developing and operating future edge services.
引用
收藏
页码:37 / 53
页数:17
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