Cloud service optimization based on reverse auction method

R. ANANTHA KUMAR; K. KARTHEEBAN; G. SUMATHI; S. RAJESH

Author(s)

R. ANANTHA KUMAR Department of Computer Science and Engineering, Kalasalingam Institute of Technology, Krishnankoil, Tamil Nadu, India

K. KARTHEEBAN Department of Computer Science and Engineering, Kalasalingam Academy of Research and Education, Krishnankoil, Tamil Nadu, India

G. SUMATHI Department of Information Technology, Kalasalingam Institute of Technology, Krishnankoil, Tamil Nadu, India

S. RAJESH Department of Information Technology, Mepco Schlenk Engineering College, Sivakasi, Tamil Nadu, India

Abstract

Cloud administrations have been progressively applied to give accessibility on on-demand basis to a tremendous quantity of computing demands, like resources, information, computing, etc, in which accurately choose and relegate the correct resources to an application or workload. Our manuscript proposes an Original Web based Reverse Auction Method (OWRAM) dependent on web-based calculation for distributing Cloud Computing (CC) applications, which may assist clients as well as suppliers to construct workflow applications in CC scenario. OWRAM comprises of 3 sections: design of web algorithm, compete proportion estimation, and execution evaluation. OWRAM is presented for the cloud client mediator to select the last champ's dependent on web-based algorithm (WA) and VickreyClarkeGroves (VCG) system. Compete investigation is utilized to compute the compete proportion of the proposed algorithmic program contrasted include the online algorithmic program. This examination technique is important to evaluate the execution of proposed algorithmic program, excepting the supposition of the allotment of cloud suppliers' bid prices. This outcome demonstrates that the proposed OWRAM is the proper technique since it permits the cloud client mediator to settle on buy choices through unknown future bid prices. The variation of auction cycles and exchange price can astonishingly impact and work on the execution of the presented reverse auction algorithmic program.

Publication Details

Page(s) 6429-6438

DOI DOI not available

Published Journal: Journal of Theoretical and Applied Information Technology, Volume: 100, Issue: 21, Year: 2022

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Keywords

optimization, Cloud Computing, Reverse Auction, Resource Allotment