Article: Modified sorted prioritisation-based task scheduling in cloud computing Journal: International Journal of Cloud Computing (IJCC) 2025 Vol.14 No.2 pp.215 - 239 Abstract: Cloud computing is commonly used to provide internet-based, pay-per-use, self-service access to scalable, on-demand computing resources. Task scheduling is a major difficulty in this approach for cost efficiency and resource usage. Task scheduling optimises computing activities to save expenses and resource consumption. MSPTS is a new scheduling method introduced in this paper. Modified sorted prioritisation-based task scheduling in cloud computing improves resource allocation and efficiency with sophisticated algorithms. MSPTS sorts jobs and resources by priority and property to improve task scheduling. MSPTS chooses the best resource for each job based on resource wait time, task processing time, and task priority. This approach optimises task execution and resource allocation, enhancing system performance. The MSPTS method was compared to other scheduling algorithms using CloudSim tools, a popular cloud simulation tool, to evaluate its efficacy. MSPTS greatly outperforms standard scheduling algorithms in various areas, according to experiments. MSPTS improves makespan, cost efficiency, and resource use. These data suggest that MSPTS is a better cloud computing task scheduling solution, improving performance and resource management. Inderscience Publishers - linking academia, business and industry through research

Title: Modified sorted prioritisation-based task scheduling in cloud computing

Authors: J. Magelin Mary; D.I. George Amalarethinam

Addresses: PG and Research Department of Computer Science, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India; Affiliated to: Bharathidasan University, India ' PG and Research Department of Computer Science, Jamal Mohamed College (Autonomous), Tiruchirappalli, Tamil Nadu, India; Affiliated to: Bharathidasan University, India

Abstract: Cloud computing is commonly used to provide internet-based, pay-per-use, self-service access to scalable, on-demand computing resources. Task scheduling is a major difficulty in this approach for cost efficiency and resource usage. Task scheduling optimises computing activities to save expenses and resource consumption. MSPTS is a new scheduling method introduced in this paper. Modified sorted prioritisation-based task scheduling in cloud computing improves resource allocation and efficiency with sophisticated algorithms. MSPTS sorts jobs and resources by priority and property to improve task scheduling. MSPTS chooses the best resource for each job based on resource wait time, task processing time, and task priority. This approach optimises task execution and resource allocation, enhancing system performance. The MSPTS method was compared to other scheduling algorithms using CloudSim tools, a popular cloud simulation tool, to evaluate its efficacy. MSPTS greatly outperforms standard scheduling algorithms in various areas, according to experiments. MSPTS improves makespan, cost efficiency, and resource use. These data suggest that MSPTS is a better cloud computing task scheduling solution, improving performance and resource management.

Keywords: cloud computing; pay-per-use; task scheduling; task priority; resource utilisation; makespan and cost; CloudSim tools; cloud environment; task scheduling.

DOI: 10.1504/IJCC.2025.147444

International Journal of Cloud Computing, 2025 Vol.14 No.2, pp.215 - 239

Received: 18 Oct 2024
Accepted: 08 Apr 2025
Published online: 15 Jul 2025 *

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Title: Modified sorted prioritisation-based task scheduling in cloud computing

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