Energy-Aware Dynamic Virtual Machine Scheduling in Cloud Computing: A Survey

Author:

Ajmera Kashav1ORCID,Tewari Tribhuwan Kumar1ORCID,Singh Vivek Kumar1ORCID,Vikash 1ORCID,Upadhyay Pawan Kumar1ORCID

Affiliation:

1. Jaypee Institute of Information Technology, India

Publisher

ACM

Reference46 articles.

1. [n. d.]. On Switch: Reno-area SuperNAP to be largest data center on Earth. https://www.switch.com/the-citadel/. Accessed: 2022-06-29. [n. d.]. On Switch: Reno-area SuperNAP to be largest data center on Earth. https://www.switch.com/the-citadel/. Accessed: 2022-06-29.

2. [n. d.]. The specpower benchmark. ([n. d.]). http://www.spec.org/powerssj2008/ [n. d.]. The specpower benchmark. ([n. d.]). http://www.spec.org/powerssj2008/

3. Greening the Cloud Through Power-Aware Virtual Machine Allocation

4. Kashav Ajmera and Tribhuwan Kumar Tewari . 2021. VMS-MCSA: virtual machine scheduling using modified clonal selection algorithm. Cluster Computing ( 2021 ), 1–19. Kashav Ajmera and Tribhuwan Kumar Tewari. 2021. VMS-MCSA: virtual machine scheduling using modified clonal selection algorithm. Cluster Computing (2021), 1–19.

5. Energy-efficient virtual machine scheduling in IaaS cloud environment using energy-aware green-particle swarm optimization

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