Posted Date : 07th Mar, 2025
Peer-Reviewed Journals List: A Guide to Quality Research Publications ...
Posted Date : 07th Mar, 2025
Choosing the right journal is crucial for successful publication. Cons...
Posted Date : 27th Feb, 2025
Why Peer-Reviewed Journals Matter Quality Control: The peer revie...
Posted Date : 27th Feb, 2025
The Peer Review Process The peer review process typically follows sev...
Posted Date : 27th Feb, 2025
What Are Peer-Reviewed Journals? A peer-reviewed journal is a publica...
A Comprehensive Review of Cloud Computing Virtual Machine Consolidation
Author Name : Abhishek N C, Dhanush A S, Gireesh H, Kiran Kumar K, Nakul N
ABSTRACT Users may now access their cloud-based apps, data, and services from any location with an internet connection, thanks to advancements in the last ten years. The proliferation of smart devices with high computational power has led to an ongoing expansion in the scale of heterogeneous cloud environments. A data center, which houses servers and physical machines (PMs), also known as virtual machines (VMs), is in charge of overseeing the cloud computing infrastructure. Due to the exponential growth in demand for cloud services, a large number of physical servers have been deployed, which has led to excessive energy consumption and inefficient use of resources. In any data center, optimizing resource use and reducing power usage have emerged as critical issues. The technique of virtual machine consolidation (VMC) optimizes computer resources by combining several VMs onto fewer PMs. VM consolidation can lower power consumption and enhance resource efficiency by combining virtual machines and running fewer real servers. This review article provides a thorough examination of cloud computing virtual machine consolidation, examining different approaches, advantages, diffculties, and potential developments in this field. This research looks at a lot of literature from 2015 to 2023 in an effort to shed light on how VM consolidation is going right now and how it can affect cloud computing's sustainability and performance. The primary problem with the articles is that different authors concentrated on different evaluation criteria while the priority should have been raise.