Open Access

ARTICLE

A Novel Optimization Approach for Energy-Efficient Multiple Workflow Scheduling in Cloud Environment

Ambika Aggarwal¹, Sunil Kumar^2,3, Ashok Bhansali⁴, Deema Mohammed Alsekait^5,*, Diaa Salama AbdElminaam^6,7,8

1 School of Computer Science, University of Petroleum and Energy Sciences, Dehradun, Uttarakhand, 248007, India
2 Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, 140401, India
3 Department of Computer Science, Graphic Era Hill University, Dehradun, 248001, India
4 Deptartment of Computer Engineering and Applications, GLA University, Mathura, 281406, India
5 Department of Computer Science and Information Technology, Applied College, Princess Nourah bint Abdulrahman University, P.O. Box 84428, Riyadh, 11671, Saudi Arabia
6 Information Systems Department, Faculty of Computers and Artificial Intelligence, Benha University, Benha, 13511, Egypt
7 MEU Research Unit, Middle East University, Amman, 11831, Jordan
8 Faculty of Computers Science, Misr International University, Cairo, 11800, Egypt

* Corresponding Author: Deema Mohammed Alsekait. Email: