Demand allocation policies for cloud service brokerage
Mihir Khandelwal
, Lokesh Lamba , Dr N Bharathi Gopalasamy
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.
"Demand allocation policies for cloud service brokerage", IJSDR - International Journal of Scientific Development and Research (www.IJSDR.org), ISSN:2455-2631, Vol.5, Issue 5, page no.73 - 76, May-2020, Available :https://ijsdr.org/papers/IJSDR2005014.pdf
Volume 5
Issue 5,
May-2020
Pages : 73 - 76
Paper Reg. ID: IJSDR_191584
Published Paper Id: IJSDR2005014
Downloads: 000347207
Research Area: Engineering
Country: Hathras, Uttarpradesh, India
ISSN: 2455-2631 | IMPACT FACTOR: 9.15 Calculated By Google Scholar | ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 9.15 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publisher: IJSDR(IJ Publication) Janvi Wave
