Link Capacity Provisioning and Server Location Decision in Server Migration Service

Yukinobu Fukushima; Tokumi Yokohira; Tutomu Murase

doi:10.1109/CloudNet.2018.8549545

Link Capacity Provisioning and Server Location Decision in Server Migration Service

Yukinobu Fukushima, Tokumi Yokohira, Tutomu Murase

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

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 language	English
Title of host publication	Proceedings of the 2018 IEEE 7th International Conference on Cloud Networking, CloudNet 2018
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781538668313
DOIs	https://doi.org/10.1109/CloudNet.2018.8549545
Publication status	Published - Nov 27 2018
Event	7th IEEE International Conference on Cloud Networking, CloudNet 2018 - Tokyo, Japan Duration: Oct 22 2018 → Oct 24 2018

Other

Other	7th IEEE International Conference on Cloud Networking, CloudNet 2018
Country/Territory	Japan
City	Tokyo
Period	10/22/18 → 10/24/18

ASJC Scopus subject areas

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

Access to Document

10.1109/CloudNet.2018.8549545

Cite this

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 proceeding › Conference 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

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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.",

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Link Capacity Provisioning and Server Location Decision in Server Migration Service

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