MA An-xiang， ZHANG Chang-sheng， ZHANG Bin， ZHANG Xiao-hong. Load Prediction Approach for Cloud Application Based on Deep Belief Networks[J]. Journal of Northeastern University Natural Science, 2017, 38(2): 209-213.
[1]丁博，王怀民，史殿习.构造具备自适应能力的软件［J］.软件学报，2013，24(9):1981-2000.(Ding Bo，Wang Huai-min，Shi Dian-xi.Constructing software with self-adaptability［J］.Journal of Software，2013，24(9):1981-2000.) [2]Frederico D，Jose C，Anderson F，et al.A systematic review on cloud computing［J］.The Journal of Supercomputing，2014，68(3):1321-1346. [3]Dinda P A，O’Hallaron D R.An evaluation of linear models for host load prediction［C］//Proceedings of the 8th International Symposium on High Performance Distributed Computing.New York:IEEE，1999:87-96. [4]Van Den Bossche R，Vanmechelen K，Broeckhove J.Optimizing IaaS reserved contract procurement using load prediction［C］//The 7th International Conference on Cloud Computing.New York:IEEE，2014:88-95. [5]Islam S，Keung J，Lee K，et al.Empirical prediction models for adaptive resource provisioning in the cloud［J］.Future Generation Computer Systems，2012，28(1):155-162. [6]许建峰，朱晴波，胡宁，等.分布式实时系统中的预测调度算法［J］.软件学报，2000，11(1):95-103.(Xu Jian-feng，Zhu Qing-bo，Hu Ning，et al.Predicting allocation algorithm in distributed real-time systems［J］.Journal of Software，2000，11(1):95-103.) [7]Ali N H，Hassan G M.Kalman filter tracking［J］.International Journal of Computer Applications，2014，89(9):15-18. [8]Xiong K Q，Perros H.Service performance and analysis in cloud computing［C］//Proceedings of the IEEE Congress on Services.New York:IEEE，2009:693-700. [9]Bennani M N，Menasce D A.Resource allocation for autonomic data centers using analytic performance models［C］//Second International Conference on Autonomic Computing.New York:IEEE，2005:229-240. [10]Zhang Y L，Zheng Z B，Lyu M R.Real-time performance prediction for cloud components［C］//The IEEE 15th International Symposium on Component Real Time Distributed Computing Workshops.New York:IEEE，2012:106-111. [11]Li D.A tutorial survey of architectures，algorithms，and applications for deep learning［J］. APSIPA Transactions on Signal and Information Processing，2014，3(1):1-29. [12]Sun S，Liu F，Liu J，et al.Web classification using deep belief networks［C］//Proceedings of the IEEE 17th International Conference on Computational Science and Engineering.New York:IEEE，2014:768-773. [13]Hinton G，Salakhutdinov R.Reducing the dimensionality of data with neural networks［J］.Science，2006，313(5786):504-507. [14]Hinton G，Osindero S，Teh Y.A fast learning algorithm for deep belief nets［J］.Neural Computation，2006，18(7):1527-1554.
