Sati, Omar Salem, Zhang, Jiangjiang, Tu, Shanshan and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544 (2024) Performance evaluation of scheduling algorithms using CloudSim. In: NCIC 2024: The 2nd International Conference on Networks, Communications and Intelligent Computing, 22nd - 25th November, 2024, Beijing, China. (In Press)

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PDF (Accepted Conference Paper) 49200 WAQAS_Performance_Evaluation_Of_Scheduling_Algorithms_Using_CloudSim_(AAM)_2024.pdf - Accepted Version Download (2MB) | Preview

Abstract

Cloud computing is a growing method for using online resources, with varying traffic levels. Scheduling algorithms are crucial due to factors like execution time and latency. This paper examines cloud environments, highlighting models like SaaS, PaaS, IaaS, and types such as public, private, and hybrid. It uses CloudSim to simulate components like data centers and VMs. The study analyzes scheduling algorithms: FCFS, SJF, and RR. Results indicate SJF excels in most areas but not in makespan, FCFS fares well in makespan but is costly, and RR is efficient in makespan but slow in total completion time.

Item Type:	Conference or Conference Paper (Paper)
Uncontrolled Keywords:	Cloud Computing, Task Scheduling, Cloud Sim Simulator, Scheduling algorithms, Makespan Metric, Total Completion Time.
Subjects:	Q Science > Q Science (General) Q Science > QA Mathematics Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Faculty / School / Research Centre / Research Group:	Faculty of Engineering & Science Faculty of Engineering & Science > School of Computing & Mathematical Sciences (CMS)
Last Modified:	08 Jan 2025 16:06
URI:	http://gala.gre.ac.uk/id/eprint/49200

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