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An Efficient Method for estimation of cost in cloud computing using neural network

Affiliations

  • Chandigarh University, Gharuan - 140413, Punjab, India

Abstract


Objectives: To study the cost estimation using FFNN (Feed Forward Neural Network) and BPNN (Back Propagation Neural Network). Methods/Statistical Analysis: In proposed work, resource allocation has been done in which cost function has been estimated. The whole simulation is being done using MATLAB 2010a environment. Findings: From the simulation results, it is analyzed that using FFNN, 95% of accuracy is achieved. Application/Improvements: With the advent of this technology, the cost of computation, application hosting, proper storage of content and delivery is abridged considerably.

Keywords

Back Propagation Neural Network, Cloud Computing, Cost Estimation, Feed Forward Neural Network, Resource Allocation.

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References


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