Optimizing Cloud Resource Management Through Energy-Efficient VM Placement Techniques

Autores

  • Dipak Dabhi School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.
  • Ankit Kharwar Sarvajanik College of Engineering & Technology, Sarvajanik University, Surat, Gujarat, India.
  • Diya Vadhwani Adani institute of Infrastructure Engineering, Ahmedabad, Gujarat, India.
  • Pritesh Prajapati Charotar University of Science and Technology, Changa, Gujarat, India
  • Vishal Barot Gujarat Technological University, Ahmedabad, Gujarat, India
  • Anamika Mittal School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.
  • Dhwani Modi School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.

DOI:

https://doi.org/10.5935/jetia.v12i60.4078

Resumo

Cloud computing has seen rapid growth in recent years, leading to a surge in demand for data center services. To meet this demand, data centers deploy a large number of servers, resulting in substantial energy consumption. Virtual Machine Consolidation (VMC) is an effective strategy to reduce energy usage by shutting down underutilized servers while ensuring that Service Level Agreements (SLAs) are maintained. The VMC process comprises four key steps: detecting overloaded hosts, identifying underloaded hosts, selecting virtual machines (VMs), and determining their placement. This research presents the Energy-Efficient Virtual Machine Placement (EEVMP) approach, which aims to optimize resource utilization by selecting suitable destination hosts for migrating VMs based on utilization and resource skewness. The proposed method is evaluated using the CloudSim simulator. Experimental results show that EEVMP consistently outperforms existing placement strategies such as PABFD, IQRMC, PEBFD, ESVMP, and HVMAP in terms of energy efficiency and overall performance.

 

Downloads

Os dados de download ainda não estão disponíveis.

Biografia do Autor

  • Ankit Kharwar, Sarvajanik College of Engineering & Technology, Sarvajanik University, Surat, Gujarat, India.

    Assistant Professor at Sarvajanik College of Engineering & Technology, Sarvajanik University, Surat, Gujarat, India.

  • Diya Vadhwani, Adani institute of Infrastructure Engineering, Ahmedabad, Gujarat, India.

    Assistant Professor at Adani institute of Infrastructure Engineering, Ahmedabad, Gujarat, India.

  • Pritesh Prajapati, Charotar University of Science and Technology, Changa, Gujarat, India

    Assistant Professor at Charotar University of Science and Technology, Changa, Gujarat, India

  • Vishal Barot, Gujarat Technological University, Ahmedabad, Gujarat, India

    Assistant Professor at Gujarat Technological University, Ahmedabad, Gujarat, India

  • Anamika Mittal, School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.

    Assistant Professor at  School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.

  • Dhwani Modi, School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.

    Assistant Professor at School of Engineering and Technology, Gujarat Technological University, Ahmedabad, Gujarat, India.

Downloads

Publicado

2026-08-17

Edição

Seção

Articles

Como Citar

Optimizing Cloud Resource Management Through Energy-Efficient VM Placement Techniques. (2026). ITEGAM-JETIA, 12(60), 1321-1329. https://doi.org/10.5935/jetia.v12i60.4078