research-article

A cost-efficient mechanism for dynamic VM provisioning in cloud computing

Authors:

Yujin LimAuthors Info & Claims

RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems

Pages 344 - 349

https://doi.org/10.1145/2663761.2664217

Published: 05 October 2014 Publication History

Abstract

Cloud computing gradually becomes an issue for modern IT business because of its flexibility, convenience, and low cost. It provides resources with guaranteeing QoS(Quality of Service) to cloud users and revenues to service providers. Due to the dynamics of user demands, service providers need VM(Virtual Machine) provisioning mechanism to predict the amount of resources demanded by cloud users and to estimate the amount of the resources prepared by service providers in the near future. In this paper, a new VM provisioning mechanism is proposed to elastically estimate the amount of resource to be prepared. We present an optimization model of the estimation by maximizing a provider's revenue while satisfying users' QoS requirements and minimizing the penalty for SLA violation. To evaluate the effectiveness of our solution, we consider many practical situations of a cloud system with a series of real trace data. It shows that our model elastically adapts to the dynamic environment while maximizing the revenue of a service provider.

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Cited By

de Oliveira DLiu JPacitti E(2022)Data-Intensive Workflow ManagementundefinedOnline publication date: 26-Feb-2022
Monika Sangwan O(2019)Quality of Service in Dynamic Resource Provisioning: Literature ReviewInformation, Communication and Computing Technology10.1007/978-981-13-5992-7_4(44-55)Online publication date: 26-Jan-2019
Ghamkhari MWierman AMohsenian-Rad H(2017)Energy Portfolio Optimization of Data CentersIEEE Transactions on Smart Grid10.1109/TSG.2015.25104288:4(1898-1910)Online publication date: Jul-2017

Index Terms

A cost-efficient mechanism for dynamic VM provisioning in cloud computing
1. Social and professional topics
  1. Professional topics
    1. Management of computing and information systems
      1. Implementation management
        Pricing and resource allocation
      2. Information system economics

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cover image ACM Conferences

RACS '14: Proceedings of the 2014 Conference on Research in Adaptive and Convergent Systems

October 2014

386 pages

ISBN:9781450330602

DOI:10.1145/2663761

Conference Chairs:
Chao Lu
Towson University
,
Esmaeil Nadimi
University of Southern Denmark, denmark
,
Program Chairs:
Sung-Ryul Kim
Konkuk University, Korea
,
Wei Wang
San Diego State University

Copyright © 2014 ACM.

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Sponsors

Winway Systems: Winway Systems, Inc.
SIGAPP: ACM Special Interest Group on Applied Computing
ACCT: Association of Convergent Computing Technology
TU: Towson University

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 05 October 2014

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RACS '14

Sponsor:

Winway Systems
SIGAPP
ACCT
TU

RACS '14: International Conference on Research in Adaptive and Convergent Systems

October 5 - 8, 2014

Maryland, Towson

Acceptance Rates

RACS '14 Paper Acceptance Rate 59 of 251 submissions, 24%;

Overall Acceptance Rate 393 of 1,581 submissions, 25%

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Cited By

de Oliveira DLiu JPacitti E(2022)Data-Intensive Workflow ManagementundefinedOnline publication date: 26-Feb-2022
Monika Sangwan O(2019)Quality of Service in Dynamic Resource Provisioning: Literature ReviewInformation, Communication and Computing Technology10.1007/978-981-13-5992-7_4(44-55)Online publication date: 26-Jan-2019
Ghamkhari MWierman AMohsenian-Rad H(2017)Energy Portfolio Optimization of Data CentersIEEE Transactions on Smart Grid10.1109/TSG.2015.25104288:4(1898-1910)Online publication date: Jul-2017

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