Link Capacity Provisioning and Server Location Decision in Server Migration Service

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Server migration service (SMS) has been proposed as a new class of service to augment the existing IaaS (Infras-tructure as a Service) cloud service. SMS allows servers (server-side processes of a network application) to dynamically and automatically migrate close to their clients (client-side processes of the network application) in order to reduce the penalty that the SMS provider pays to is SMS subscribers when failing to provide them with the guaranteed level of QoS. In this paper, we tackle a link capacity provisioning and server location decision problem where we consider the sum of link capacity provisioning cost and the penalty as the total expenditure of SMS business, and aim at minimizing the total expenditure. In the problem, we determine how much capacity to add to links, and when and to which location to migrate servers. We formulate the problem as an integer programming model, solve the model, and obtain the optimal link capacities, server locations at each time, and the global optimum value of the total expenditure of SMS business. Numerical examples show that the proposed method decreases the total expenditure of SMS business by up to 49% compared to a conventional method that determines the server locations while fixing the link capacities.

Original languageEnglish
Title of host publicationProceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538668313
DOIs
Publication statusPublished - Nov 27 2018
Event7th IEEE International Conference on Cloud Networking, CloudNet 2018 - Tokyo, Japan
Duration: Oct 22 2018Oct 24 2018

Other

Other7th IEEE International Conference on Cloud Networking, CloudNet 2018
CountryJapan
CityTokyo
Period10/22/1810/24/18

Fingerprint

Servers
Location decision
Provisioning
Industry
Expenditure
Integer programming
Computer networks
Quality of service
Service business
Penalty

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Information Systems and Management
  • Safety, Risk, Reliability and Quality

Cite this

Fukushima, Y., Yokohira, T., & Murase, T. (2018). Link Capacity Provisioning and Server Location Decision in Server Migration Service. In Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018 [8549545] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/CloudNet.2018.8549545

Link Capacity Provisioning and Server Location Decision in Server Migration Service. / Fukushima, Yukinobu; Yokohira, Tokumi; Murase, Tutomu.

Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018. Institute of Electrical and Electronics Engineers Inc., 2018. 8549545.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Fukushima, Y, Yokohira, T & Murase, T 2018, Link Capacity Provisioning and Server Location Decision in Server Migration Service. in Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018., 8549545, Institute of Electrical and Electronics Engineers Inc., 7th IEEE International Conference on Cloud Networking, CloudNet 2018, Tokyo, Japan, 10/22/18. https://doi.org/10.1109/CloudNet.2018.8549545
Fukushima Y, Yokohira T, Murase T. Link Capacity Provisioning and Server Location Decision in Server Migration Service. In Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018. Institute of Electrical and Electronics Engineers Inc. 2018. 8549545 https://doi.org/10.1109/CloudNet.2018.8549545
Fukushima, Yukinobu ; Yokohira, Tokumi ; Murase, Tutomu. / Link Capacity Provisioning and Server Location Decision in Server Migration Service. Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018. Institute of Electrical and Electronics Engineers Inc., 2018.
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