Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)

<Previous Article In Volume
Next Article In Volume>

Self-Improved Black Widow Algorithm for Cloud Load Balancing

Authors
Koppula Geeta1, *, V. Kamakshi Prasad2
1Assistant Professor, Department of Computer Science and Engineering, Rajiv Gandhi University of Knowledge Technologies, Basar, India
2Senior Professor, Department of Computer Science and EngineeringJNTUH College of Engineering, Hyderabad, India
*Corresponding author. Email: geetakoppula6@gmail.com
Corresponding Author
Koppula Geeta
Available Online 30 July 2024.
DOI
10.2991/978-94-6463-471-6_101How to use a DOI?
Keywords
cloud computing; data center; load balancing; power consumption; memory usage
Abstract

Recently, cloud computing has emerged as a predominant technique in the realm of information technology. The increasing demand of cloud computing platform in terms of computing and data storage so that the cloud providers offers numerous data centers present at various locations across the world. These data centers comprise of millions of IT servers. Due to the fact, data centers consume excess energy and liberate high amount of carbon footprint. This lead to create dangerous effect on the environment. In this paper, a self improved black widow optimization algorithm (SI-BWO) based load balancing incloud computing. While receiving a task request from the client for accessing task, the PM assign several VM on the basis of multi-objective such as power consumption, migration cost, memory usage, and load balancing. The parameters like response time, Turn around time and server load are consider for load balancing. To attain better load balancing, the suitable VM is selected by employing proposed optimization. Finally, the proposed SI-BWO model has been computed based on make span, memory usage, migration cost, power consumption, response time, server load, throughput, turnaround time, and convergence.

Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Download article (PDF)

<Previous Article In Volume
Next Article In Volume>
Volume Title
Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
Series
Advances in Computer Science Research
Publication Date
30 July 2024
ISBN
978-94-6463-471-6
ISSN
2352-538X
DOI
10.2991/978-94-6463-471-6_101How to use a DOI?
Copyright
© 2024 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Koppula Geeta
AU  - V. Kamakshi Prasad
PY  - 2024
DA  - 2024/07/30
TI  - Self-Improved Black Widow Algorithm for Cloud Load Balancing
BT  - Proceedings of the International Conference on Computational Innovations and Emerging Trends (ICCIET- 2024)
PB  - Atlantis Press
SP  - 1054
EP  - 1073
SN  - 2352-538X
UR  - https://doi.org/10.2991/978-94-6463-471-6_101
DO  - 10.2991/978-94-6463-471-6_101
ID  - Geeta2024
ER  -