ENERGY OPTIMIZATION TECHNIQUES FOR TASK SCHEDULING IN CLOUD COMPUTING

Special Issue - Innovative Commerce: Bridging Business and Computer Applications (ICBBCA-2026) |PG Department of Commerce with Computer Applications, Mannar Thirumalai Naicker College, Madurai – March 2026| International Journal of Computer Science (IJCS) Published by SK Research Group of Companies (SKRGC)

Abstract

Cloud computing provides scalable computing resources through the internet. However, large cloud data centers consume a significant amount of energy, which increases operational costs and environmental impact. Efficient task scheduling plays an important role in reducing energy consumption while maintaining system performance. This paper discusses energy optimization techniques used in task scheduling in cloud computing environments. Various approaches such as energy-aware scheduling, dynamic voltage and frequency scaling, and resource consolidation are analyzed. These techniques help improve energy efficiency and ensure better utilization of cloud resources.

References

1. Armbrust, M., Fox, A., Griffith, R., et al., “A View of Cloud Computing,” Communications of the ACM, vol. 53, no. 4, pp. 50–58, 2010.
2. Beloglazov, A., and Buyya, R., “Energy Efficient Resource Management in Virtualized Cloud Data Centers,” Proceedings of the 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing, pp. 826–831, 2010.
3. Buyya, R., Yeo, C. S., Venugopal, S., Broberg, J., and Brandic, I., “Cloud Computing and Emerging IT Platforms: Vision, Hype, and Reality,” Future Generation Computer Systems, vol. 25, no. 6, pp. 599–616, 2009.
4. Mishra, M., and Sahoo, A., “On Theory of VM Placement: Anomalies in Existing Methodologies and Their Mitigation Using a Novel Vector Based Approach,” IEEE Cloud Computing Conference, pp. 275–282, 2011.
5. Verma, A., Ahuja, P., and Neogi, A., “Power-Aware Dynamic Placement of HPC Applications,” Proceedings of the 22nd International Conference on Supercomputing, pp. 175–184, 2008.
6. Garg, S. K., Yeo, C. S., and Buyya, R., “Green Cloud Framework for Improving Carbon Efficiency of Clouds,” European Conference

Keywords

Cloud Computing, Task Scheduling, Energy Optimization, Green Computing, Resource Management.