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A Qualitative Evaluation of Service Mesh-based Traffic Management for Mobile Edge Cloud
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap. Ericsson Research, Cloud Systems and Platforms, Sweden.
Umeå universitet, Teknisk-naturvetenskapliga fakulteten, Institutionen för datavetenskap.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 (Engelska)Ingår i: 22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022: Proceedings, IEEE, 2022, s. 210-219Konferensbidrag, Publicerat paper (Refereegranskat)
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.

Ort, förlag, år, upplaga, sidor
IEEE, 2022. s. 210-219
Nyckelord [en]
efficient traffic management, mobile edge cloud, multi-access edge computing, performance-demanding applications, service mesh, software engineering
Nationell ämneskategori
Datavetenskap (datalogi) Datorsystem
Identifikatorer
URN: urn:nbn:se:umu:diva-198733DOI: 10.1109/CCGrid54584.2022.00030ISI: 000855065800022Scopus ID: 2-s2.0-85135759502ISBN: 9781665499576 (tryckt)ISBN: 9781665499569 (digital)OAI: oai:DiVA.org:umu-198733DiVA, id: diva2:1689344
Konferens
22nd IEEE/ACM International Symposium on Cluster, Cloud and Internet Computing, CCGrid 2022, Taormina, Italy, 16-19 May 2022.
Forskningsfinansiär
Wallenberg AI, Autonomous Systems and Software Program (WASP)Knut och Alice Wallenbergs StiftelseTillgänglig från: 2022-08-22 Skapad: 2022-08-22 Senast uppdaterad: 2023-09-05Bibliografiskt granskad

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Obeso Duque, AleksandraKlein, CristianElmroth, Erik

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Totalt: 236 träffar
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