Cloud computing has been considered as a solution for solving enterprise application distribution and configuration challenges in the traditional software sales model. Migrating from traditional software to Cloud enables on-going revenue for software providers. However, in order to deliver hosted services to customers, SaaS companies have to either maintain their own hardware or rent it from infrastructure providers. This requirement means that SaaS providers will incur extra costs. In order to minimize the cost of resources, it is also important to satisfy a minimum service level to customers. Therefore, this paper proposes resource allocation algorithms for SaaS providers who want to minimize infrastructure cost and SLA violations. Our proposed algorithms are designed in a way to ensure that Saas providers are able to manage the dynamic change of customers, mapping customer requests to infrastructure level parameters and handling heterogeneity of Virtual Machines. We take into account the customers’ Quality of Service parameters such as response time, and infrastructure level parameters such as service initiation time. This paper also presents an extensive evaluation study to analyze and demonstrate that our proposed algorithms minimize the SaaS provider’s cost and the number of SLA violations in a dynamic resource sharing Cloud environment.
History
Publication title
Proceedings of the 11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Volume
25
Pagination
195-204
ISBN
978-0-7695-4395-6
Department/School
Information and Communication Technology
Publisher
Institute of Electrical and Electronics Engineers
Publication status
Published
Place of publication
United States of America
Event title
11th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing
Event Venue
California, USA
Date of Event (Start Date)
2011-05-23
Date of Event (End Date)
2011-05-26
Rights statement
Copyright 2011 IEEE
Socio-economic Objectives
220499 Information systems, technologies and services not elsewhere classified