Work place: Thapar University, Patiala, 147004, India
E-mail: chetanchawla16@gmail.com
Website:
Research Interests: Computational Engineering, Software Engineering, Computer systems and computational processes, Systems Architecture, Database Management System
Biography
Chetan Chawla obtained his B.Tech. (Computer Science and Engineering) Degree from S.I.E.T. Ambala (Haryana) in 2012. Presently he is pursuing M.E. (Software Engineering) degree from Thapar University, Patiala. His research interests include Software Engineering, Operating Systems, Database Management Systems, Cloud Computing, and Grid Computing. He is Vice President of ACM Student Chapter Thapar University.
By Chetan Chawla Inderveer Chana
DOI: https://doi.org/10.5815/ijcnis.2015.11.02, Pub. Date: 8 Oct. 2015
Smart clouds allow every consumer and cloud service provider a two-way communication, thus enabling cloud service provider to generate a time dependent pricing model using a feedback loop. This model charges a consumer more in peak periods and less during off peak periods, which encourages consumers to reschedule their workload to less traffic (off-peak) periods. This helps service providers to practice a versatile pricing technique to increase their profits by covering off-peak demand and minimizing the provider’s cost optimization problem. It also minimizes the execution time in setting these prices by Compromised Cost-Time Based (CCTB) scheduling. Shifting workload is a probabilistic function which tells consumers to shift their workload. This paper presents a model to calculate day-ahead prices. The proposed model dynamically adjusts the rewards or discounts based on consumer behavior in the past, and helps providers to maximize their revenue by shifting the consumers’ workload.
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