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Service Allocation/Placement in Multi-Access Edge Computing with Workload Fluctuations

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Book cover Service-Oriented Computing (ICSOC 2021)

Part of the book series: Lecture Notes in Computer Science ((LNPSE,volume 13121))

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Abstract

In this paper, we present a load variation aware adaptive stochastic method for user service request allocation and service placement in Multi-Access Edge Computing (MEC) . Simulation based experimental results on the benchmark EUA dataset show that our approach can better handle workload fluctuations as compared to state of the art.

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Author information

Authors and Affiliations

  1. Advanced Computing and Microelectronics Unit, Indian Statistical Institute, Kolkata, India

    Subrat Prasad Panda, Kaustabha Ray & Ansuman Banerjee

Authors
  1. Subrat Prasad Panda
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  2. Kaustabha Ray
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  3. Ansuman Banerjee
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Editor information

Editors and Affiliations

  1. Zayed University, Dubai, United Arab Emirates

    Hakim Hacid

  2. Technical University of Berlin, Berlin, Germany

    Odej Kao

  3. Informatica Automatica Gestio, Sapienza University of Rome, Rome, Italy

    Massimo Mecella

  4. Departement d'Informatique, University of Quebec, Montreal, QC, Canada

    Naouel Moha

  5. UNSW Sydney, Sydney, NSW, Australia

    Hye-young Paik

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Panda, S.P., Ray, K., Banerjee, A. (2021). Service Allocation/Placement in Multi-Access Edge Computing with Workload Fluctuations. In: Hacid, H., Kao, O., Mecella, M., Moha, N., Paik, Hy. (eds) Service-Oriented Computing. ICSOC 2021. Lecture Notes in Computer Science(), vol 13121. Springer, Cham. https://doi.org/10.1007/978-3-030-91431-8_51

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  • DOI: https://doi.org/10.1007/978-3-030-91431-8_51

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-91430-1

  • Online ISBN: 978-3-030-91431-8

  • eBook Packages: Computer ScienceComputer Science (R0)

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