ACDP: Prediction of Application Cloud Data center Proficiency Using Fuzzy Modeling

Jaiganesh, M.; Kumar, Amit; Sivasankari, R.

doi:10.1016/j.proeng.2012.06.351

Cited by 1 publication

(1 citation statement)

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“…So, cloud service providers are prepared in better tolerance to manage and update the data centers. Cloud computing provides myriad of services [12]. Therefore, the data center is too costly to build and manage.…”

Section: Introductionmentioning

confidence: 99%

B3: Fuzzy-Based Data Center Load Optimization in Cloud Computing

Jaiganesh

Kumar

2013

Mathematical Problems in Engineering

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Cloud computing started a new era in getting variety of information puddles through various internet connections by any connective devices. It provides pay and use method for grasping the services by the clients. Data center is a sophisticated high definition server, which runs applications virtually in cloud computing. It moves the application, services, and data to a large data center. Data center provides more service level, which covers maximum of users. In order to find the overall load efficiency, the utilization service in data center is a definite task. Hence, we propose a novel method to find the efficiency of the data center in cloud computing. The goal is to optimize date center utilization in terms of three big factors—Bandwidth, Memory, and Central Processing Unit (CPU) cycle. We constructed a fuzzy expert system model to obtain maximum Data Center Load Efficiency (DCLE) in cloud computing environments. The advantage of the proposed system lies in DCLE computing. While computing, it allows regular evaluation of services to any number of clients. This approach indicates that the current cloud needs an order of magnitude in data center management to be used in next generation computing.

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Section: Introductionmentioning

confidence: 99%