Cloud computing is a solution for addressing challenges such as licensing, distribution, configuration, and operation of enterprise applications associated with the traditional IT infrastructure, software sales and deployment models. Migrating from a traditional model to the Cloud model reduces the maintenance complexity and cost for enterprise customers, and provides on-going revenue for Software as a Service (SaaS) providers. Clients and SaaS providers need to establish a Service Level Agreement (SLA) to define the Quality of Service (QoS). The main objectives of SaaS providers are to minimize cost and to improve Customer Satisfaction Level (CSL). In this paper, we propose customer driven SLA-based resource provisioning algorithms to minimize cost by minimizing resource and penalty cost and improve CSL by minimizing SLA violations. The proposed provisioning algorithms consider customer profiles and providers’ quality parameters (e.g. response time) to handle dynamic customer requests and infrastructure level heterogeneity for enterprise systems. We also take into account customer-side parameters (such as the proportion of upgrade requests), and infrastructure level parameters (such as the service initiation time) to compare algorithms. Simulation results show that our algorithms reduce the total cost up to 54% and the number of SLA violations up to 45%, compared with the previously proposed best algorithm.
History
Publication title
IEEE Transactions on Services Computing
Volume
7
Pagination
465-485
ISSN
1939-1374
Department/School
School of Information and Communication Technology
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Place of publication
United States
Rights statement
Copyright 2013 IEEE
Repository Status
Restricted
Socio-economic Objectives
Information systems, technologies and services not elsewhere classified