An Efficient Resource Scheduling Framework for Infrastructure Performance Enhancement in Cloud Environment
M. Abdullah1, M. Mohamed Surputheen2
1M.Abdullah, Corresponding Author, Research Scholar, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruhcirappalli, Tamilnadu, India.
2Dr. M. Mohamed Surputheen, Associate Professor, Department of Computer Science, Jamal Mohamed College (Autonomous), (Affiliated to Bharathidasan University), Tiruchirappalli, Tamilnadu, India.
Manuscript received on November 20, 2019. | Revised Manuscript received on November 28, 2019. | Manuscript published on 30 November, 2019. | PP: 7283-7287 | Volume-8 Issue-4, November 2019. | Retrieval Number: D5286118419/2019©BEIESP | DOI: 10.35940/ijrte.D5286.118419
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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: On-demand cloud services must be provided to customers at any time by ways of cloud service providers due to cloud demand. It is obligatory for cloud service providers to lessen large volumes of data, thereby it can reduce costs for maintaining large storage systems. Infrastructure level performance is an important problem which directly affects the overall working of cloud computing environment. The objective of our framework is enhancing the performance of cloud infrastructure. Proposed approach demonstrates high effective in cloud performance enhancement, as it displays enhancement in both the service providers as well as for cloud users.
Keywords: Resource allocation, Cloud Computing, Fuzzy Scheduling, Hadoop, Security and Privacy.
Scope of the Article: Cloud Computing.