A STUDY ON HOST MACHINE UNDERLOADING DETECTION ALGORITHM IN CLOUD DATA CENTER

Abstract

In the present-day generation, cloud computing is getting more and more common. Additionally, every day more and more users are accessing cloud resources. Cloud computing enables end users to take advantage of a collection of distributed hosted resources such as storage, CPU, applications (both software and hardware), and services via the internet on an as-needed basis. There are many power-conscious approaches that attempt to minimize power consumption and host service level agreement (SLA) degradation. In this paper our plan is to study the performance of host machine underloading algorithm in cloud data center.