Energy Efficient Load Balancing Algorithm for Cloud Computing Using Rock Hyrax Optimization

Author:

Singhal Saurabh1ORCID,Sharma Ashish1,Anushree 1ORCID,Verma Pawan Kumar2ORCID,Kumar Mohit3ORCID,Verma Sahil4ORCID,Kavita 5ORCID,Kaur Maninder6,Rodrigues Joel J. P. C.7ORCID,Khurma Ruba Abu8,García-Arenas Maribel9ORCID

Affiliation:

1. Department of Computer Engineering & Applications, GLA University, Bharthia, Uttar Pradesh, India

2. Department of Computer Science & Engineering, Sharda University, Delhi, Uttar Pradesh, India

3. Department of Information Technology, MIT Art, Design & Technology University, Pune, Maharashtra, India

4. Manipal University, Jaipur, Rajasthan, India

5. Uttaranchal University, Dehradun, Uttarakhand, India

6. Guru Gobind Singh College for Women, Chandigarh, India

7. Amazonas State University, Manaus, Amazonas, Brazil

8. MEU Research Unit. Faculty of Information Technology, Middle East University & Applied Science Research Center, Applied Science Private University, Amman, Jordan

9. Department of Computer Engineering, Automatics and Robotics, University of Granada, Granada, Spain

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Reference42 articles.

1. NIST Cloud Computing Reference Architecture

2. Optimized task scheduling and resource allocation on cloud computing environment using improved differential evolution algorithm

3. Dynamic Resource Allocation Using Virtual Machines for Cloud Computing Environment

4. A comparative study of static and dynamic load balancing algorithms;Beniwal;Int. J. Advance Res. Comput. Sci. Manage. Stud.,2014

5. Energy consumption in cloud computing data centers;Uchechukwu;Int. J. Cloud Comput. Services Sci.,2014

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