Indian Journal of Science and Technology

Abstract

Objective: The main objective of this work is to select the optimal cloud services by considering price and Quality-ofService (QoS) concession in the cloud computing environment. Methods: In this manuscript an innovative technique is introduced that is called Optimal Selection of Cloud Service with Price for QoS Concession (OSCSPQC). In this technique the more sophisticated constraints like accountability, agility, assurance of service, security and privacy, and usability are included for improving VM placement strategies. Moreover, if the cloud services are reserved by customers, price and QoS concession mechanism are used to facilitate both providers and customers indicate their preferences for price and QoS metrics and search for equally acceptable prices and QoS metrics. Results: The OSCSPQC method shows high performance in terms of user satisfaction, response time and total utility when compared to the existing A Novel Customer Hints Scheduling (ANCHS) method. The proposed OSCSPQC method considers the customer hints and QoS requirements for selecting the cloud service. If the cloud load is 1, the user satisfaction in OSCSPQC is 97.2%, the total utility is 89% and response time is 9500 ms. The comparison results shows that the proposed method achieves better performance when compared to the existing system. Conclusion: The findings demonstrate that the OSCSPQC method is presented and suggested that this method high performance.
Keywords: Cloud Computing, Cloud Negotiation, IaaS Cloud, Service Measurement, Virtual Machine Scheduling