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State-aware application placement in mobile edge clouds
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-9156-3364
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0003-0106-3049
Umeå University, Faculty of Science and Technology, Department of Computing Science.ORCID iD: 0000-0002-2633-6798
2024 (English)In: Proceedings of the 14th International conference on cloud computing and services science / [ed] Maarten van Steen; Claus Pahl, Science and Technology Publications , 2024, p. 117-128Conference paper, Published paper (Refereed)
Abstract [en]

Placing applications within Mobile Edge Clouds (MEC) poses challenges due to dynamic user mobility. Maintaining optimal Quality of Service may require frequent application migration in response to changing user locations, potentially leading to bandwidth wastage. This paper addresses application placement challenges in MEC environments by developing a comprehensive model covering workloads, applications, and MEC infrastructures. Following this, various costs associated with application operation, including resource utilization, migration overhead, and potential service quality degradation, are systematically formulated. An online application placement algorithm, App EDC Match, inspired by the Gale-Shapley matching algorithm, is introduced to optimize application placement considering these cost factors. Through experiments that employ real mobility traces to simulate workload dynamics, the results demonstrate that the proposed algorithm efficiently determines near-optimal application placements within Edge Data Centers. It achieves total operating costs within a narrow margin of 8% higher than the approximate global optimum attained by the offline precognition algorithm, which assumes access to future user locations. Additionally, the proposed placement algorithm effectively mitigates resource scarcity in MEC.

Place, publisher, year, edition, pages
Science and Technology Publications , 2024. p. 117-128
Series
International Conference on Cloud Computing and Services Science, E-ISSN 21845042
Keywords [en]
Application Placement, Mobile Edge Clouds, Optimization, Service Orchestration
National Category
Computer Sciences Computer Systems
Identifiers
URN: urn:nbn:se:umu:diva-225496Scopus ID: 2-s2.0-85194153990ISBN: 9789897587016 (electronic)OAI: oai:DiVA.org:umu-225496DiVA, id: diva2:1868017
Conference
CLOSER 2024: 14th International Conference on Cloud Computing and Services Science, Angers, France, May 2-4, 2024
Available from: 2024-06-11 Created: 2024-06-11 Last updated: 2024-06-11Bibliographically approved

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Nguyen, Chanh Le TanKlein, CristianElmroth, Erik

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CiteExportLink to record
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Citation style
  • apa
  • ieee
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Output format
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