Simulation of Adaptive Control for Cloud Computing as Queueing System
Authors: 
Hendra Tjahyadi, Arnold Aribowo, Pujianto Yugopuspito, Irene Lazarusli, I. Made MurwantaraAuthors Info & Claims
Pages 68 - 72
Abstract
Cloud computing is a complex system with high uncertainty factors. To guarantee the reliability and performance of the cloud computing despite the presence of uncertainty factors, a control system is required. In this paper simulation of control system in cloud computing is presented. The cloud computing is modeled as a queueing system with one unlimited queue and one server, and a simple adaptive control is employed to keep the achievement of the desired performance. The variation of arrival rate of clients, λ, is represent the uncertainty factor and the service rate, μ, is used as the control signal. Simulation results show that the proposed controller has a promising potential to be used in cloud computing.
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- Simulation of Adaptive Control for Cloud Computing as Queueing System
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Published In
October 2019
253 pages
ISBN:9781450372534
DOI:10.1145/3369114
Copyright © 2019 ACM.
© 2019 Association for Computing Machinery. ACM acknowledges that this contribution was authored or co-authored by an employee, contractor or affiliate of a national government. As such, the Government retains a nonexclusive, royalty-free right to publish or reproduce this article, or to allow others to do so, for Government purposes only.
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- Northumbria University: University of Northumbria at Newcastle
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Association for Computing Machinery
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Published: 21 January 2020
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ICAAI 2019
ICAAI 2019: 2019 The 3rd International Conference on Advances in Artificial Intelligence
October 26 - 28, 2019
Istanbul, Turkey
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