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IJSDR
INTERNATIONAL JOURNAL OF SCIENTIFIC DEVELOPMENT AND RESEARCH
International Peer Reviewed & Refereed Journals, Open Access Journal
ISSN Approved Journal No: 2455-2631 | Impact factor: 8.15 | ESTD Year: 2016
open access , Peer-reviewed, and Refereed Journals, Impact factor 8.15

Issue: March 2024

Volume 9 | Issue 3

Impact factor: 8.15

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Paper Title: Demand allocation policies for cloud service brokerage
Authors Name: Mihir Khandelwal , Lokesh Lamba , Dr N Bharathi Gopalasamy
Unique Id: IJSDR2005014
Published In: Volume 5 Issue 5, May-2020
Abstract: Cloud computing is a style of computing in which dynamically scalable and other virtualized resources are provided as a service over the Internet. The energy consumption and makespan associated with the resources allocated should be taken into account. This paper proposes an improved clonal selection algorithm based on time cost and energy consumption models in cloud computing environment. We have analyzed the performance of our approach using the CloudSim toolkit. The experimental results show that our approach has immense potential as it offers significant improvement in the aspects of response time and makespan, demonstrates high potential for the improvement in energy efficiency of the data center, and can effectively meet the service level agreement requested by the users.
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Cite Article: "Demand allocation policies for cloud service brokerage", International Journal of Science & Engineering Development Research (www.ijsdr.org), ISSN:2455-2631, Vol.5, Issue 5, page no.73 - 76, May-2020, Available :http://www.ijsdr.org/papers/IJSDR2005014.pdf
Downloads: 000336256
Publication Details: Published Paper ID: IJSDR2005014
Registration ID:191584
Published In: Volume 5 Issue 5, May-2020
DOI (Digital Object Identifier):
Page No: 73 - 76
Publisher: IJSDR | www.ijsdr.org
ISSN Number: 2455-2631

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