Energy Efficient Dynamic Tasks Oriented Scheduling in Green Control Cloud

Author Name(s): Prof. Rashmi Deshmukh, Prof. Rachana Deshmukh, Dr. Pallavi Chaudhari
Author Email: rashmi_deshmukh86@yahoo.com

Abstract

Cloud computing is the energetic distribution of information technology resources and proficiencies as a service above the Internet. Virtualization is the establishment of a virtual arrangement of system such as system computing device or machine server, a computer operating system, or network system device or hard disk storage device. To address the main problem of high load consumed in cloud system the efficient algorithm should be present and used. To make available scalability and eradicate the points of let-down, it is compulsory to prepare self-motivated Virtual Machine (VM) consolidation algorithms in a distributed manner. Therefore, a unique procedure is compulsory to create the dynamic VM consolidation distributed system. The scheduling objectives are to improve the system’s time conflicts and time utilization for real-time tasks and save energy. An effective green control algorithm is developed which lead to significant task scheduling and reduced energy consumption. The experimental performed using CloudSim simulator indicates the scalability and performance of system in cloud computing. Our proposed technique can also improve the system performance of cloud computing in actual time cloud based environment.

Introduction

Cloud computing [1] is a protocol for allowing widespread, suitable, on-demand network system access. Cloud based computing is a process of computing wherever immensely scalable IT services enabled competences are distributed ‘as a service’ using Internet based technologies to multiple outdoor clients. At its simplest form, cloud based computing is the run time transport of information technology devices or resources and competencies as a facility above the The cloud computing resources are storage, networks, applications, servers, and services. Virtualization [2] has cultivated a real-world prerequisite for this generation. Its predisposition is unending, for the reason that when functional, it transports many proceeds such diminution in functioning capital and costs, Hard-to-find person’s resource savings, Physical space decrease, Access to storage re-sources, computer network, server and on
demand, Energy savings for a greener environment. Virtualization is the establishment of a virtual arrangement of such as computing system device or system server, a computer operating system, or network system devices and storage system device.

Conclusion

The difficulty comprises in defining the best subset of VMs to migrate, that will provide the most beneficial system reconfiguration. The ultimate goal of the load balancing algorithm is to improve the resource utilization and reduced energy consumption so that the overall performance of the cloud architecture increases. To address the issue of scheduling problem in real time system we have introduced an improved scheduling algorithm which can also be scalable in cloud computing. Our proposed technique can also improve the system performance of cloud computing in real time cloud environment. An effective green control algorithm is developed which lead to significant task scheduling and reduced energy consumption. The experimental performance using CloudSim, indicated the scalability and performance of system in cloud computing. In future work, we will also apply security features in our algorithm in real big data difficulties. On the same grounds, we are preparing to implement our algorithm in real time task oriented problems.

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