MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction-Reference-Cited by-同舟云学术

MTD-DHJS: Makespan-Optimized Task Scheduling Algorithm for Cloud Computing With Dynamic Computational Time Prediction

Published:2023 Issue: Volume:11 Page:105578-105618
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Banerjee Pallab¹,Roy Sharmistha¹,Sinha Anurag²^ORCID,Hassan Md. Mehedi³^ORCID,Burje Shrikant⁴,Agrawal Anupam⁵,Bairagi Anupam Kumar³^ORCID,Alshathri Samah⁶^ORCID,El-Shafai Walid⁷^ORCID

Affiliation:

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

2. Department of Computer Science and Information Technology, Indira Gandhi National Open University (IGNOU), New Delhi, India

3. Computer Science and Engineering Discipline, Khulna University, Khulna, Bangladesh

4. Department of Electronics and Telecommunication, Christian College of Engineering and Technology, Bhilai, Chhattisgarh, India

5. Department of Electrical and Electronics Engineering, Bhilai Institute of Technology (BIT), Durg, Chhattisgarh, India

6. Department of Information Technology, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

7. Computer Science Department, Security Engineering Laboratory, Prince Sultan University, Riyadh, Saudi Arabia

Funder

Princess Nourah bint Abdulrahman University Researchers, Princess Nourah bint Abdulrahman University, Riyadh, Saudi Arabia

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10261870.pdf?arnumber=10261870

Reference83 articles.

1. Task scheduling in cloud computing: Review;singh;Int J Comput Sci Inf Technol,2014

2. Job sequence scheduling for cloud computing

3. Performance Evaluation of Two Stage Scheduling Algorithm in Cloud Computing

4. Performance Analysis of Cloud Computing Centers Using M/G/m/m+r Queuing Systems

5. Massive mining of publicly available RNA-seq data from human and mouse

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