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Issue No.03 - July-Sept. (2014 vol.7)
pp: 465-485
Rajkumar Buyya , Cloud Computing and Distributed Systems (CLOUDS) Laboratory, Department of Computing and Information Systems, The University of Melbourne, Australia
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 percent and the number of SLA violations up to 45 percent, compared with the previously proposed best algorithm.
Software as a service, Time factors, Cloud computing, Quality of service, Computational modeling, Heuristic algorithms,resource provisioning, Cloud computing, Service Level Agreement (SLA), resource allocation, scheduling, software as a service, customer-driven, Key Performance Indicator (KPI)
Rajkumar Buyya, "SLA-Based Resource Provisioning for Hosted Software-as-a-Service Applications in Cloud Computing Environments", IEEE Transactions on Services Computing, vol.7, no. 3, pp. 465-485, July-Sept. 2014, doi:10.1109/TSC.2013.49
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