Cloud computing is one of the most promising technology. When using hybrid cloud we all don’t know in which order the processes will be submitted to the private and public cloud. As some processes need to be more secure than other processes. Private Cloud is meant for security and privacy than public cloud. They need some mechanism that how these processes will be executed on private cloud or public cloud. So better is to prioritize the processes. A novel way is presented where an Artificial Neural Network model is designed to reprioritize the cloud computing processes with extended parameters. ANN being an Artificial Intelligence Technique is meant for accuracy. The results shows that the proposed technique helps in improving accuracy

Cloud Computing, Hybrid Cloud, Resource Provisioning, Artificial Neural Network

[1]. MI Alam, M Pandey, SS Rautaray, “A Comprehensive Survey on Cloud Computing”, International Journal of Information Technology and Computer Science (IJITCS), 8; 7(2):68, 2015.
[2]. JE.Geelan “Twenty one experts define cloud computing” Virtualization, Electronic Magazine.
[3]. PT.Endo, M.Rodrigues, GE Gonçalves, J Kelner, DH Sadok, C Curescu “High availability in clouds: systematic review and research challenges” Journal of Cloud Computing 1; 5(1):16, 2016
[4]. Z Jian, WX Wu“The Application of Feed-Forward Neural Network for the X-Ray Image Fusion” In Journal of Physics: Conference Series, Vol. 312, No. 6, p. 062005, IOP Publishing, 2011
[5]. SO Arik, M Chrzanowski, A Coates, G Diamos, A Gibiansky, Y Kang, X Li, J Miller, A Ng, J Raiman,S Sengupta “ Deep voice: Real-time Neural Text-To-Speech” ArXiv preprint arXiv:1702.07825. 2017
[6]. I Sadeghkhani, A Ketabi, R Feuillet “Radial Basis Function Neural Network Application to Power System Restoration Studies” Computational Intelligence and Neuroscience 1; 2012:3, 2012
[7]. Ramadonisyahputra “Application of Neuro-Fuzzy Method for Prediction of Vehicle Fuel Consumption” Journal of Theoretical and Applied Information Technology, 86:2016:1, 2016
[8]. G Auda, M Kamel “Modular Neural Networks: A Survey”, International Journal of Neural Systems. 9(02):129-51, 1999.
[9]. R Kaur , P Bajaj “ A Review on Software Defect Prediction Models based on different data mining techniques” International Journal of Computer Science and Mobile Computing;3(5):879-86,2014
[10]. M Singh, DS Salaria “Software Defect Prediction Tool Based on Neural Network. International Journal of Computer Applications. , 70(22), 2013
[11]. AH Omran, YM Abid, H Kadhim “Design of Artificial Neural Networks System for Intelligent Chessboard” In Engineering Technologies and Applied Sciences (ICETAS), 4th IEEE International Conference on 2017 Nov 29 (pp. 1-7). IEEE, 2017
[12]. A Qayyum, SM Anwar, M Awais, M Majid “Medical Image Retrieval Using Deep Convolution Neural Network” Neurocomputing. 266:8-20, 2017
[13]. BK Bose “Neural network applications in power electronics and motor drives—An introduction and perspective” IEEE Transactions on Industrial Electronics.54 (1):14-33, 2017
[14]. V.V.Kumar, and K.Dinesh, “Job Scheduling using Fuzzy Neural network algorithm in cloud environment” Bonfring International Journal of Man Machine Interface, 2(1), p.1.2012
[15]. Md. Toukir Imam, Sheikh Faisal Miskhat, Rashedur M Rahman “Neural network and Regression based Processor Load Prediction for Efficient Scaling of Grid and Cloud Resources”, 14th International Conference on Computer and Information Technology (ICCIT 2011).
[16]. JJ Prevost, K Nagothu, B Kelley, M Jamshidi, Prediction of cloud data center networks loads using stochastic and neural models. “In System of Systems Engineering (SoSE)” 6th International Conference on 2011 Jun 27 (pp. 276-281). IEEE, 2011
[17]. AA Bankole ,SA Ajila “ Cloud client prediction models for cloud resource provisioning in a multitier web application environment” InService Oriented System Engineering (SOSE), IEEE 7th International Symposium on 2013 Mar 25 (pp. 156-161). IEEE, 2013
[18]. SM Nirmanik, AB Salimath “Neural Networks Error Recovery using Cloud Operations” Neural Networks. 5(02), 2018.
[19]. C Zhao, S Zhang, Q Liu, J Xie, J Hu, “Independent Tasks Scheduling Based on Genetic Algorithm in Cloud Computing. In Wireless Communications, Networking and Mobile Computing, WiCom’09. 5th International Conference on 2009 Sep 24 (pp. 1-4). IEEE, 2009
[20]. J Yuan, S Yu “Privacy Preserving Back-Propagation Neural Network Learning made Practical with Cloud Computing. IEEE Transactions on Parallel and Distributed Systems. 25(1):212-21, 2014