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      Petri Net based modeling and analysis for improved resource utilization in cloud computing

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          Abstract

          The cloud is a shared pool of systems that provides multiple resources through the Internet, users can access a lot of computing power using their computer. However, with the strong migration rate of multiple applications towards the cloud, more disks and servers are required to store huge data. Most of the cloud storage service providers are replicating full copies of data over multiple data centers to ensure data availability. Further, the replication is not only a costly process but also a wastage of energy resources. Furthermore, erasure codes reduce the storage cost by splitting data in n chunks and storing these chunks into n + k different data centers, to tolerate k failures. Moreover, it also needs extra computation cost to regenerate the data object. Cache-A Replica On Modification (CAROM) is a hybrid file system that gets combined benefits from both the replication and erasure codes to reduce access latency and bandwidth consumption. However, in the literature, no formal analysis of CAROM is available which can validate its performance. To address this issue, this research firstly presents a colored Petri net based formal model of CAROM. The research proceeds by presenting a formal analysis and simulation to validate the performance of the proposed system. This paper contributes towards the utilization of resources in clouds by presenting a comprehensive formal analysis of CAROM.

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          Most cited references38

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          Cloud computing and emerging IT platforms: Vision, hype, and reality for delivering computing as the 5th utility

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            Energy-aware resource allocation heuristics for efficient management of data centers for Cloud computing

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              Next generation cloud computing: New trends and research directions

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                Author and article information

                Contributors
                Journal
                PeerJ Comput Sci
                PeerJ Comput Sci
                peerj-cs
                peerj-cs
                PeerJ Computer Science
                PeerJ Inc. (San Diego, USA )
                2376-5992
                8 February 2021
                2021
                : 7
                : e351
                Affiliations
                [1 ]Department of Computer Science, Western Norway University of Applied Sciences , Bergen, Norway
                [2 ]Department of Computer Science, COMSATS University Islamabad, Lahore Campus , Lahore, Pakistan
                [3 ]Department of Electrical & Computer Engineering, COMSATS University Islamabad , Attock Campus, Attock, Pakistan
                [4 ]Department of Computer Information Systems, College of Computer Science and Information Technology, Imam Abdulrahman Bin Faisal University , Dammam, Saudi Arabia
                [5 ]Department of Educational Technology, College of Education, Imam Abdulrahman Bin Faisal University , Dammam, Saudi Arabia
                [6 ]Department of Information Systems, Faculty of Computing and Information Technology, King Abdulaziz University , Jeddah, Saudi Arabia
                [7 ]School of Electrical Engineering and Automation, Wuhan University , Wuhan, China
                Author information
                http://orcid.org/0000-0001-6574-9969
                Article
                cs-351
                10.7717/peerj-cs.351
                7959626
                4328d12e-f6ed-4fc7-93a7-edbd72ea9d9e
                © 2021 Rizwan Ali et al.

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, reproduction and adaptation in any medium and for any purpose provided that it is properly attributed. For attribution, the original author(s), title, publication source (PeerJ Computer Science) and either DOI or URL of the article must be cited.

                History
                : 30 October 2020
                : 7 December 2020
                Funding
                The authors received no funding for this work.
                Categories
                Algorithms and Analysis of Algorithms
                Computer Education
                Data Science

                cloud computing,replication,colored petri net,formal analysis

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