CAI method in Cloud services for user workload using Cloudsim framework
AlaguVignesh A1, Barath B2, R.R Sathiya3, P Prakash4
1AlaguVignesh A, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham India
2Barath B, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India
3R.R Sathiya, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India.
4P Prakash, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham, India.
Manuscript received on November 17., 2019. | Revised Manuscript received on November 24 2019. | Manuscript published on 30 November, 2019. | PP: 12622-12426 | Volume-8 Issue-4, November 2019. | Retrieval Number: D9991118419/2019©BEIESP | DOI: 10.35940/ijrte.D9991.118419
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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: In sighting the distinct patterns of processing capability in a cloud service is pedantic to enhance the resource management and operable conditions of the servers without compromising the Quality of Service is important. Simulations and models based on practicable parameters are required to understand the impact of the load on new system designs and policies. The proposed scheme and analysis provides a requirement for designing new systems which will be lessaffected by process loads. Classifying, analysis and improving (CAI) is done using real-time data center logs and simulations are done based on user requests and data center configurations. Simulations are created using cloudsim framework. Various simulations are done to provide a comprehensive result to improve the resource allocation for the system.
Keywords: Cloud service, Resource, Users, Work load, Classification, Neural-network, Cloud-sim, Simulation.
Scope of the Article: Classification.