An enhanced dynamic resource Allocation with energy efficient Task scheduling and optimized load Balancing in cloud environment

Abstract

Cloud computing is one among the emerging service-oriented platforms. Nowadays it becomes an unavoidable business partner of all types of companies such as IT enterprises and various mobile applications. In cloud computing, various resources such as Memory, Software, CPU, and network services are provided through the internet on-demand. The major investment of the company could be preserved because of all the resources like hardware, software, and network are utilized without physically buying it. Instead, all can be subscribed from the cloud. To provide a better experience to the cloud users, there are so many advancements are being adopted in the cloud platform. In the past few years, cloud usage has been increased significantly. The challenges are also arising parallelly to assure the better quality of service to each end-user. In this scenario, the resource allocation for user requests is the most important part of the cloud environment. Because, the number of user requests is infinite and resources are mapped dynamically. All requests must be scheduled with the most appropriate requested resources; else it will affect the entire cloud performance. newlineThe main aim of this research work is to analyze the major challenges of dynamic resource allocation process and the suitable solutions to these challenges. Though, there are various resource allocation policies existing in the cloud platform, due to the tremendous growth of the customers, the following challenging areas need to be addressed. The first part of this research work is concentrated on the energy-efficient resource allocation process (DRATSPM) by optimizing task scheduling and reducing power consumption in data centers, and it also supports green computing newline