Hybrid C-PSO for QOS based Cost Effective Model for Package Selection in Cloud
K. S. Guruprakash1, S. Siva Sathya2
1K. S. Guruprakash, Research Scholar, Pondicherry University, Pondicherry, India.
2S. Siva Sathya, Associate Professor, Pondicherry University, Pondicherry, India.
Manuscript received on 23 March 2019 | Revised Manuscript received on 30 March 2019 | Manuscript published on 30 March 2019 | PP: 1358-1364 | Volume-7 Issue-6, March 2019 | Retrieval Number: F3008037619/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: Cloud computing has emerged as the most dominant service computing model due to its elastic nature in provisioning resources. Package selection and resource provisioning are the major components of any cloud system. This paper proposes a cost-effective package selection model for users of a cloud system. The major downside of any cloud system is its inability to automatically identify the appropriate QoS requirements for users. This can be effectively identified with the usage logs of users. The proposed package selection model analyses usage logs and groups the usage records into regular, upscale and downscale levels to identify their corresponding QoS requirements. The proposed hybridized C-PSO based package selection model is used to select the appropriate packages that are cost effective and aids in effective resource utilization with minimal upscale requirements. A comparison with the existing package selection model exhibits improved QoS levels and reduced time requirements.
Keywords: Cloud provisioning, package selection, C-PSO, Simulated Annealing
Scope of the Article: Cloud Computing