Power-Aware server location decision in server migration service

Yukinobu Fukushima; Tokumi Yokohira; Tutomu Murase; Tatsuya Suda

doi:10.1109/ICTC.2016.7763457

Power-Aware server location decision in server migration service

Yukinobu Fukushima, Tokumi Yokohira, Tutomu Murase, Tatsuya Suda

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

Abstract

The server migration service (SMS) is an optional service that improves communication QoS of the IaaS cloud service. In the SMS, small-scale data centers (micro data centers) called work places (WPs) are deployed at various locations in the network. In the SMS, a network application (a NW-App) consists of one or more server-side processes of the application (servers) and one or more client-side processes of the application (clients). In the SMS, servers migrate among WPs in order to improve communication QoS between the servers and their clients, unlike in the IaaS cloud service where locations of the servers are always fixed at a data center in the network. In our previous study, we developed an integer programming model and solved it to determine when and to which WPs servers should migrate in the SMS in order to minimize the financial penalty, i.e., SMS provider's financial loss due to degradation of the communication QoS. In this paper, we consider the electricity power cost, an important component of the operational cost of the SMS, in addition to the financial penalty considered in our previous study, in determining when and to which WPs servers should migrate in the SMS. In this paper, we define the operational cost of the SMS as the sum of the financial penalty and electricity power cost and consider a power-Aware server location decision problem in order to minimize the operational cost of the SMS. We formulate the problem as a mixed-integer programming model and solve the model numerically. Numerical examples show that our mixed-integer programming model optimally determines the locations of the servers and decreases the operational cost by up to 15.5% compared to our previous integer programming model, where the power cost was not considered.

Original language	English
Title of host publication	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	150-155
Number of pages	6
ISBN (Electronic)	9781509013258
DOIs	https://doi.org/10.1109/ICTC.2016.7763457
Publication status	Published - Nov 30 2016
Event	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016 - Jeju Island, Korea, Republic of Duration: Oct 19 2016 → Oct 21 2016

Other

Other	2016 International Conference on Information and Communication Technology Convergence, ICTC 2016
Country	Korea, Republic of
City	Jeju Island
Period	10/19/16 → 10/21/16

Keywords

Cloud computing
Financial loss
Operational cost
Optimal server locations
Power consumption
QoS
Server migration service (SMS)

ASJC Scopus subject areas

Computer Networks and Communications
Hardware and Architecture
Signal Processing

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Power-Aware server location decision in server migration service. / Fukushima, Yukinobu ; Yokohira, Tokumi; Murase, Tutomu; Suda, Tatsuya.

2016 International Conference on Information and Communication Technology Convergence, ICTC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. p. 150-155 7763457.

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

Fukushima, Y , Yokohira, T, Murase, T & Suda, T 2016, Power-Aware server location decision in server migration service. in 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016., 7763457, Institute of Electrical and Electronics Engineers Inc., pp. 150-155, 2016 International Conference on Information and Communication Technology Convergence, ICTC 2016, Jeju Island, Korea, Republic of, 10/19/16. https://doi.org/10.1109/ICTC.2016.7763457

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AB - The server migration service (SMS) is an optional service that improves communication QoS of the IaaS cloud service. In the SMS, small-scale data centers (micro data centers) called work places (WPs) are deployed at various locations in the network. In the SMS, a network application (a NW-App) consists of one or more server-side processes of the application (servers) and one or more client-side processes of the application (clients). In the SMS, servers migrate among WPs in order to improve communication QoS between the servers and their clients, unlike in the IaaS cloud service where locations of the servers are always fixed at a data center in the network. In our previous study, we developed an integer programming model and solved it to determine when and to which WPs servers should migrate in the SMS in order to minimize the financial penalty, i.e., SMS provider's financial loss due to degradation of the communication QoS. In this paper, we consider the electricity power cost, an important component of the operational cost of the SMS, in addition to the financial penalty considered in our previous study, in determining when and to which WPs servers should migrate in the SMS. In this paper, we define the operational cost of the SMS as the sum of the financial penalty and electricity power cost and consider a power-Aware server location decision problem in order to minimize the operational cost of the SMS. We formulate the problem as a mixed-integer programming model and solve the model numerically. Numerical examples show that our mixed-integer programming model optimally determines the locations of the servers and decreases the operational cost by up to 15.5% compared to our previous integer programming model, where the power cost was not considered.

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KW - Operational cost

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KW - Power consumption

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ER -

Power-Aware server location decision in server migration service

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Keywords

ASJC Scopus subject areas

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