首页|Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

Improved Dynamic Johnson Sequencing Algorithm(DJS)in Cloud Computing Environment for Efficient Resource Scheduling for Distributed Overloading

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This study introduces an innovative approach to optimize cloud computing job distribution using the Improved Dynamic Johnson Sequencing Algorithm(DJS).Emphasizing on-demand resource sharing,typical to Cloud Service Providers(CSPs),the research focuses on minimizing job completion delays through efficient task allocation.Utilizing Johnson's rule from operations research,the study addresses the challenge of resource availability post-task completion.It advocates for queuing models with multiple servers and finite capacity to improve job scheduling models,subsequently reducing wait times and queue lengths.The Dynamic Johnson Sequencing Algorithm and the M/M/c/K queuing model are applied to optimize task sequences,showcasing their efficacy through comparative analysis.The research evaluates the impact of makespan calculation on data file transfer times and assesses vital performance indicators,ultimately positioning the proposed technique as superior to existing approaches,offering a robust framework for enhanced task scheduling and resource allocation in cloud computing.

First come first served(FCFS)schedulinground robintask schedulingqueuing modelJohnson scheduling algorithm

Anurag Sinha、Pallab Banerjee、Sharmistha Roy、Nitasha Rathore、Narendra Pratap Singh、Mueen Uddin、Maha Abdelhaq、Raed Alsaqour

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Department of Computer Science Engineering,ICFAI Tech School,ICFAI University,Jharkhand,Ranchi 834004

Department of Computer Science Engineering,Amity University,Jharkhand,Ranchi 835303,India

Department of Computing and Information Technology,Usha Martin University,Ranchi 835103,India

Department of Information Technology,Bharti Vidyapeeth's College of Engineering Paschim Vihar

Department of CSE,Delhi University,India

College of Computing and Information Technology,University of Doha for Science and Technology,Doha 24449,Qatar

Department of Information Technology,College of Computer and Information Sciences,Princess Nourah Bint Abdulrahman University,P.O.Box 84428,Riyadh 11671,Saudi Arabia

Department of Information Technology,College of Computing and Informatics,Saudi Electronic University,93499,Riyadh,Saudi Arabia

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2024

10.1007/s11518-024-5606-z

系统科学与系统工程学报(英文版)
中国系统工程学会

系统科学与系统工程学报(英文版)

EI
影响因子：0.138
ISSN：1004-3756
年,卷(期)：2024.33(4)