| Issue |
ITM Web Conf.
Volume 54, 2023
2nd International Conference on Advances in Computing, Communication and Security (I3CS-2023)
|
|
|---|---|---|
| Article Number | 01017 | |
| Number of page(s) | 8 | |
| Section | Computing | |
| DOI | https://doi.org/10.1051/itmconf/20235401017 | |
| Published online | 04 July 2023 | |
Load Balancing and Server Consolidation for Energy Management in Cloud Data Center
Department of Computer Engineering, National Institute of Technology, Kurukshetra
* Corresponding author: raj45400@gmail.com
Users worldwide can access utility-oriented computing services through cloud computing. It enables the pay-as-you-go model to host well-known consumer, educational, and business applications. However, cloud data centers encounter significant issues in effectively managing resources, ensuring optimal performance, and reducing energy usage as the demand for cloud computing services is increasing rapidly. A possible strategy to reduce energy consumption and operating expenses is the energy-efficient management of virtual machines (VMs) and server consolidation. In this paper, a VM migration and server consolidation algorithm is proposed, which is energy efficient and SLA aware. The proposed approach is evaluated using the CloudSim simulation kit and PlanetLab workload. The experiment result shows that the proposed approach has reduced energy consumption and SLA violation.
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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