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ID 63434
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Fukushima, Yukinobu The Graduate School of Natural Science and Technology, Okayama University
Suda, Tatsuya University Netgroup Inc.
Murase, Tutomu Information Technology Center, Nagoya University
Tarutani, Yuya The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Yokohira, Tokumi The Graduate School of Interdisciplinary Science and Engineering in Health Systems, Okayama University
Abstract
Current IaaS (Infrastructure as a Service) cloud service may not satisfy communication QoS (Quality of Service) requirements of delay-sensitive network applications, if there is a significant physical distance between a server of the network application (NetApp server) at a data center and its network application clients (NetApp clients). In order to improve communication QoS of NetApp clients, we propose Server Migration Service (SMS) in this paper. SMS allowsNetApp servers to migrate among different locations in the network (1) to optimally locate themselves in relation to NetApp clients and mitigate the QoS degradation caused by location-related factors (i.e., propagation delays on network links) and (2) to optimally distribute traffic load over routers and processing load over (physical) computers and decrease the energy consumption. We develop a mixed-integer programming model that determines when and to which locations NetApp servers migrate to minimize the total operating cost of SMS, i.e., the sum of the monetary penalty incurred due to QoS violation and energy cost incurred due to energy consumption, while preventing NetApp servers from excessively migrating and adversely impacting QoS of the non-SMS service that share the resource of the substrate network with SMS. Simulation results show that the model developed in this paper achieves up to 42% lower total operating cost of SMS compared to the model that only minimizes the monetary penalty of SMS without considering the energy cost of SMS.
Keywords
IaaS
SMS (server migration service)
server locations
energy cost
monetary penaltymixed-integer programming
Note
This is the peer reviewed version of the following article: [Fukushima, Y, Suda, T, Murase, T, Tarutani, Y, Yokohira, T. Minimizing the monetary penalty and energy cost of server migration service. Trans Emerging Tel Tech. 2022;e4511. doi:10.1002/ett.4511], which has been published in final form at [https://doi.org/10.1002/ett.4511]. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Use of Self-Archived Versions. This article may not be enhanced, enriched or otherwise transformed into a derivative work, without express permission from Wiley or by statutory rights under applicable legislation. Copyright notices must not be removed, obscured or modified. The article must be linked to Wiley’s version of record on Wiley Online Library and any embedding, framing or otherwise making available the article or pages there of by third parties from platforms, services and websites other than Wiley Online Library must be prohibited.
Published Date
2022-04-10
Publication Title
Transactions on Emerging Telecommunications Technologies
Volume
volume33
Issue
issue9
Publisher
Wiley
Start Page
e4511
ISSN
2161-3915
Content Type
Journal Article
language
English
OAI-PMH Set
岡山大学
Copyright Holders
© 2022 John Wiley & Sons, Ltd.
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isVersionOf https://doi.org/10.1002/ett.4511