Optimization of Resource Utilization using Proposed Hybrid TLPD-ALB-RASA Scheduling Algorithm for Cloud Environment

DOI

10.2991/978-94-6463-529-4_30How to use a DOI?

Keywords

RASA; Adaptive Load Balancing (ALB); Hybrid TLPD; Cloudsim; Max-Min; Min-Min

Abstract

The hybrid TLPD-ALB scheduling algorithm is a commonly used approach in cloud computing, but it fails to meet the multi-objective requirements for effective load balancing. Although its primary aim is to distribute tasks among available resources and minimize relative imbalance, it is insufficient to achieve optimal resource utilization and minimize makespan. To address this shortcoming, a resource-aware scheduling algorithm has been integrated with the hybrid TLPD-ALB algorithm. End-users prefer a fair scheduler that allocates tasks without starving any particular task while aiming for the shortest task completion time possible. In response to these concerns, the hybrid TLPD-ALB-RASA algorithm has been developed as an improved solution.

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.

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TY  - CONF
AU  - Vijay Mohan Shrimal
AU  - Y. C. Bhatt
AU  - Y. S. Shishodia
PY  - 2024
DA  - 2024/10/04
TI  - Optimization of Resource Utilization using Proposed Hybrid TLPD-ALB-RASA Scheduling Algorithm for Cloud Environment
BT  - Proceedings of the International Conference on Signal Processing and Computer Vision (SIPCOV-2023)
PB  - Atlantis Press
SP  - 330
EP  - 340
SN  - 2352-5401
UR  - https://doi.org/10.2991/978-94-6463-529-4_30
DO  - 10.2991/978-94-6463-529-4_30
ID  - Shrimal2024
ER  -