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A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud
Umeå University, Faculty of Science and Technology, Department of Computing Science. Ericsson Research, Cloud Systems and Platforms, Sweden.
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-0106-3049
Ericsson Research, Cloud Systems and Platforms, Sweden.
Ericsson Research, Cloud Systems and Platforms, Sweden.
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2022 (English)In: 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022: Proceedings, IEEE, 2022, p. 210-219Conference paper, Published paper (Refereed)
Abstract [en]

Service mesh is getting widely adopted as the cloud-native mechanism for traffic management in microservice-based applications, in particular for generic IT workloads hosted in more centralized cloud environments. Performance-demanding applications continue to drive the decentralization of modern application execution environments, as in the case of mobile edge cloud. This paper presents a systematic and qualitative analysis of state-of-the-art service mesh to evaluate how suitable its design is for addressing the traffic management needs of performance-demanding application workloads hosted in a mobile edge cloud environment. With this analysis, we argue that today's dependability-centric service mesh design fails at addressing the needs of the different types of emerging mobile edge cloud workloads and motivate further research in the directions of performance-efficient architectures, stronger QoS guarantees and higher complexity abstractions of cloud-native traffic manage-ment frameworks.

Place, publisher, year, edition, pages
IEEE, 2022. p. 210-219
Keywords [en]
efficient traffic management, mobile edge cloud, multi-access edge computing, performance-demanding applications, service mesh, software engineering
National Category
Computer Sciences Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-198733DOI: 10.1109/CCGrid54584.2022.00030ISI: 000855065800022Scopus ID: 2-s2.0-85135759502ISBN: 9781665499576 (print)ISBN: 9781665499569 (electronic)OAI: oai:DiVA.org:umu-198733DiVA, id: diva2:1689344
Conference
22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, Taormina, Italy, 16-19 May 2022.
Funder
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut and Alice Wallenberg FoundationAvailable from: 2022-08-22 Created: 2022-08-22 Last updated: 2023-09-05Bibliographically approved

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Obeso Duque, AleksandraKlein, CristianElmroth, Erik

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