An Experimental Study on Microservices based Edge Computing Platforms

被引：0

作者：

Qu, Qian ^{[1
]}

Xu, Ronghua ^{[1
]}

Nikouei, Seyed Yahya ^{[1
]}

Chen, Yu ^{[1
]}

机构：

[1] SUNY Binghamton, Dept Elect & Comp Engn, Binghamton, NY 13902 USA

来源：

IEEE INFOCOM 2020 - IEEE CONFERENCE ON COMPUTER COMMUNICATIONS WORKSHOPS (INFOCOM WKSHPS) | 2020年

关键词：

Edge Computing; Internet of Things (IoT); Microservices Architecture; Container;

D O I：

10.1109/infocomwkshps50562.2020.9163068

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

The rapid technological advances in the Internet of Things (IoT) allows the blueprint of Smart Cities to become feasible by integrating heterogeneous cloud/fog/edge computing paradigms to collaboratively provide variant smart services in our cities and communities. Thanks to attractive features like fine granularity and loose coupling, the microservices architecture has been proposed to provide scalable and extensible services in large scale distributed IoT systems. Recent studies have evaluated and analyzed the performance interference between microservices based on scenarios on the cloud computing environment. However, they are not holistic for IoT applications given the restriction of the edge device like computation consumption and network capacity. This paper investigates multiple microservice deployment policies on edge computing platform. The microservices are developed as docker containers, and comprehensive experimental results demonstrate the performance and interference of microservices running on benchmark scenarios.

引用

页码：836 / 841

页数：6

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