This paper is published in Volume-4, Issue-4, 2018
Area
Cloud Computing
Author
Diksha Devi
Co-authors
Gautam Arora
Org/Univ
Swami Devi Dyal Institute of Engineering and Technology, Panchkula, Haryana, India
Pub. Date
31 July, 2018
Paper ID
V4I4-1391
Publisher
Keywords
CloudSim, Cloud Analyst, Scheduling Policies, Virtual Machine

Citationsacebook

IEEE
Diksha Devi, Gautam Arora. Performance evaluation of request processing time using different service broker policies in Cloud computing, International Journal of Advance Research, Ideas and Innovations in Technology, www.IJARIIT.com.

APA
Diksha Devi, Gautam Arora (2018). Performance evaluation of request processing time using different service broker policies in Cloud computing. International Journal of Advance Research, Ideas and Innovations in Technology, 4(4) www.IJARIIT.com.

MLA
Diksha Devi, Gautam Arora. "Performance evaluation of request processing time using different service broker policies in Cloud computing." International Journal of Advance Research, Ideas and Innovations in Technology 4.4 (2018). www.IJARIIT.com.

Abstract

The construct of cloud computing has not only remolded the field of the distributed system but also essentially changed how business potentiality expands today. In late furtherance, cloud computing applications allow for as servicing to end- users. The applications services hosted under Cloud computing role model have composite provisioning, configuration, and deployment essentials. How to utilize Cloud computing resources expeditiously and attain the uttermost winnings and efficient use of resources is one of the Cloud computing service supplier ultimate goals. Repetitious valuation of the performance of Cloud provisioning policies, application workload framework, and resources performance frameworks in the active system is difficult to accomplish and instead a time consuming and costly approach. To defeat this challenge, cloud analyst simulator based on CloudSim has been projected which enables the modeling and simulation in the cloud atmosphere. The aim of this paper is to prove that the choice of VM Scheduling Policy in Cloud computing framework importantly improves the application performance under resource and service demand fluctuation. Hence We will discuss different Virtual machine(VM) Scheduling Policies implemented and their performance analysis in the virtual environment of cloud computing in order to achieve better Quality of Service(QoS).