A Comprehensive Review on Autonomous Consolidation of Virtual Machine for Energy and Resource Management-Reference-Cited by-同舟云学术

A Comprehensive Review on Autonomous Consolidation of Virtual Machine for Energy and Resource Management

Published:2023-11-23 Issue: Volume:102 Page:1-7
ISSN:
Container-title:Proceedings of the 5th International Conference on Information Management & Machine Intelligence
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Author:

Bajpai Gaurav¹^ORCID,Singh Pawan²^ORCID,Agarwal Abhay Kumar³^ORCID

Affiliation:

1. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University, India

2. Department of Computer Science and Engineering, Amity School of Engineering and Technology, Amity University Uttar Pradesh, India

3. Computer Science & Engineering, Kamla Nehru Institute of Technology, India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3647444.3647901

Reference22 articles.

1. Anton Beloglazov, Jemal Abawajy, and Rajkumar Buyya. Energy-aware resource allocation heuristics for efficient management of data centers for cloud computing. Future generation computer systems, 28(5):755–768, 2012.

2. Towards energy-aware scheduling in data centers using machine learning

3. Martin Duggan, Kieran Flesk, Jim Duggan, Enda Howley, and Enda Barrett. A reinforcement learning approach for dynamic selection of virtual machines in cloud data centres. In 2016 Sixth International Conference on Innovative Computing Technology (INTECH), pages 92–97. IEEE, 2016.

4. Fahimeh Farahnakian, Pasi Liljeberg, and Juha Plosila. Energy-efficient virtual machines consolidation in cloud data centers using reinforcement learning. In 2014 22nd Euromicro International Conference on Parallel, Distributed, and Network- Based Processing, pages 500–507. IEEE, 2014.

5. Devika Kakkar and GS Young. Heuristic of vm allocation to reduce migration complexity at cloud server. In Proceedings of the International Conference on Scientific Computing (CSC), pages 60–66. The Steering Committee of The World Congress in Computer Science, Computer . . . , 2018