• Version
• Download 1
• File Size 313.21 KB
• File Count 1
• Create Date 3 December 2025
• Last Updated 3 December 2025

A Migration-Free Energy-Efficient VM Allocation Method for Data Centers

 

 

Archana Kulkarni ,Asmita Marathe ,Ditixa Mehta ,Sony Jha

Assistant Professor Computer Science & Engineering

(Cyber Security)

Thakur College of Engineering &Technology

Mumbai, Maharashtra

Archana.kulkarni@tcemumbai.in

asmitamarathe@tcetmumbai.in

ditixa.mehta@tcemumbai.in

sony.jha@tcetmumbai.in

 

 

Growing operational costs and high energy consumption in data centers have increased the need for smart resource allocation and effective energy management. This paper introduces an energy-efficient Virtual Machine (VM) allocation technique that eliminates the need for VM migration while maintaining stable system performance. The proposed approach, named Energy Efficient Virtual Machine Allocation without Migration (EEVMA), aims to lower energy usage, reduce costs, and avoid performance degradation.EEVMA integrates resource optimization techniques, predictive analysis, and real-time workload monitoring to place VMs on servers based on workload patterns, server utilization, and power consumption models. By distributing workloads efficiently and consolidating tasks onto fewer servers, the approach minimizes energy wastage and improves overall efficiency. To validate the effectiveness of EEVMA, we compare its performance with existing VM allocation methods, focusing on metrics such as energy reduction, cost efficiency, and system stability. Experiments using real workload traces and performance indicators show that EEVMA enhances energy savings and service quality without the drawbacks associated with VM migration. The results indicate that data centers can achieve improved sustainability, reduced operational expenses, and better resource utilization through the proposed migration-free allocation strategy.

Keywords— Cloud Computing, Energy Efficiency, Resource Management

Download