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

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• 作者：M. Jaiganesh^a ; A. Vincent Antony kumar^b ; R. Sivasankari^c ; ^{jailingam@gmail.com}
• 关键词：Data cente ; Manageme ; Fuzzification ; Defuzzification ; Cloud Computing ; Optimization
• 刊名：Procedia Engineering
• 出版年：2012
• 出版时间：2012
• 年：2012
• 卷：38
• 期：Complete
• 页码：3005-3018
• 全文大小：5096 K

文摘

Cloud computing, the notion of outsourcing hardware and software to Internet service providers is showing the classic signs of constructive technology -it's good enough for the masses, and it has clear potential to shake things up. The Cloud computing enables the clients to utilize services by on demand techniques. Data centre is a sophisticated high definition server which runs applications virtually. We propose a novel approach to find proficiency of the data center in cloud computing. The goal is to optimize data center utilization with big three factors like Bandwidth, Memory and Virtual Machine (VM). We construct a fuzzy model for some of factors and obtain Application Cloud Datacenter Proficiency (ACDP) in cloud computing environments. The benefit of ACDP is providing estimation of application cloud architecture considerations. In this, fuzzy modeling optimization proceeds maximum gain in the Application cloud controlled by data centre proficiency diagonally a huge diversity of workloads using a fuzzy tool box kit.