READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment

Article


Li, Bo, He, Qiang, Cui, Guangming, Xia, Xiaoyu, Chen, Feifei, Jin, Hai and Yang, Yun. 2022. "READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment." IEEE Transactions on Services Computing. 15 (3), pp. 1746-1759. https://doi.org/10.1109/TSC.2020.3015316
Article Title

READ: Robustness-Oriented Edge Application Deployment in Edge Computing Environment

ERA Journal ID36548
Article CategoryArticle
AuthorsLi, Bo (Author), He, Qiang (Author), Cui, Guangming (Author), Xia, Xiaoyu (Author), Chen, Feifei (Author), Jin, Hai (Author) and Yang, Yun (Author)
Journal TitleIEEE Transactions on Services Computing
Journal Citation15 (3), pp. 1746-1759
Number of Pages14
Year2022
PublisherIEEE (Institute of Electrical and Electronics Engineers)
Place of PublicationUnited States
ISSN1939-1374
Digital Object Identifier (DOI)https://doi.org/10.1109/TSC.2020.3015316
Web Address (URL)https://ieeexplore.ieee.org/document/9163305
Abstract

In recent years, edge computing has emerged as a prospective distributed computing paradigm that overcomes several limitations of cloud computing. In the edge computing environment, a service provider can deploy its application instances on edge servers at the edge of the network to serve its own users with low latency. Given a limited budget KK for deploying applications on the edge servers in a particular geographical area, a number of approaches have been proposed very recently to determine the optimal deployment strategy that achieves various optimization objectives, e.g., to maximize the servers’ coverage, to minimize the average network latency, etc. However, the robustness of the services collectively delivered by the service provider’s applications deployed on the edge servers has not been considered at all. This is a critical issue, especially in the highly distributed, dynamic and volatile edge computing environment. In this article, we make the first attempt to tackle this challenge. Specifically, we formulate this Robustness-oriented Edge Application Deployment (READ) problem as a constrained optimization problem and prove its NPNP-hardness. Then, we provide an integer programming based approach named READ-OO for solving this problem precisely. We also provide an approximation algorithm, namely READ-AA, for finding near-optimal solutions to large-scale READ problems efficiently. We prove its approximation ratio is not worse than K/2K/2, which is a constant regardless of the total number of edge servers. We evaluate our approaches experimentally on a widely-used real-world dataset against five representative approaches. The experiment results demonstrate that our approaches can solve the READ problem effectively and efficiently.

Keywordsapplication deployment; approximation approach; Edge computing; integer programming; optimal approach; robustness
ANZSRC Field of Research 2020460612. Service oriented computing
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Byline AffiliationsSwinburne University of Technology
Deakin University
Huazhong University of Science and Technology, China
Institution of OriginUniversity of Southern Queensland
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