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Enhancing a strategy of virtualized resource assignment in adaptive resource cloud framework

Published: 17 January 2013 Publication History

Abstract

Recently, cloud computing has been emerged to offer new business model for service providers and computing services for many customers in various fields. Both the profit maximization for cloud service providers and the SLA guaranteeing for cloud service customers are most important issues in the research of cloud computing. Many researches about cloud computing have been focused on VM management to satisfy both the cost minimization and acceptable QoS assurance. However, in previous studies, only VM allocation scheme that maps the single request to single instance has been considered, therefore the unnecessary extra capacity of resources has been dissipated. In this paper, we design an Adaptive Resource Cloud Framework(ARCF) with group VM allocating scheme called Multi Requests to Single VM(MRSV) to solve the problems of previous researches. Through the performance evaluation, we showed the effective resource cost saving of the proposed scheme.

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Cited By

View all
  • (2017)A Science Gateway Cloud With Cost-Adaptive VM Management for Computational Science and ApplicationsIEEE Systems Journal10.1109/JSYST.2015.250175011:1(173-185)Online publication date: Mar-2017
  • (2016)A VM Vector Management Scheme for QoS Constraint Task Scheduling in Cloud EnvironmentCloud Computing10.1007/978-3-319-38904-2_5(39-49)Online publication date: 6-May-2016
  • (2014)Cost adaptive workflow scheduling in cloud computingProceedings of the 8th International Conference on Ubiquitous Information Management and Communication10.1145/2557977.2558079(1-8)Online publication date: 9-Jan-2014

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Published In

cover image ACM Conferences
ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication
January 2013
772 pages
ISBN:9781450319584
DOI:10.1145/2448556
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Publication History

Published: 17 January 2013

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Author Tags

  1. VM allocation
  2. cloud resource management
  3. cloud service broker
  4. service level agreement

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Overall Acceptance Rate 251 of 941 submissions, 27%

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Cited By

View all
  • (2017)A Science Gateway Cloud With Cost-Adaptive VM Management for Computational Science and ApplicationsIEEE Systems Journal10.1109/JSYST.2015.250175011:1(173-185)Online publication date: Mar-2017
  • (2016)A VM Vector Management Scheme for QoS Constraint Task Scheduling in Cloud EnvironmentCloud Computing10.1007/978-3-319-38904-2_5(39-49)Online publication date: 6-May-2016
  • (2014)Cost adaptive workflow scheduling in cloud computingProceedings of the 8th International Conference on Ubiquitous Information Management and Communication10.1145/2557977.2558079(1-8)Online publication date: 9-Jan-2014

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