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https://www.sciencedirect.com/science/article/abs/pii/S1874102909600094
A Nu-support Vector Regression Based System for Grid Resource Monitoring and Prediction. ... In this paper, we propose the design and implementation of computing grid resource monitoring and prediction system. The system is applicable in that it is robust, scalable, extensible, and user-friendly. Nu-support vector regression (Nu-SVR) is ...Cited by: 2
https://www.researchgate.net/publication/222678785_A_Nu-support_Vector_Regression_Based_System_for_Grid_Resource_Monitoring_and_Prediction
A Nu-support Vector Regression Based System for Grid Resource Monitoring and Prediction Article in ACTA AUTOMATICA SINICA 36(1):139-146 · January 2010 with 24 Reads How we measure 'reads'
https://www.sciencedirect.com/science/article/pii/S1874102909600094
A Nu-support Vector Regression Based System for Grid Resource Monitoring and Prediction HU Liang 1 CHE Xi-Long 1 Abstract In order to realize intelligent scheduling of incoming tasks and provide acceptable quality of service, a distributed system for monitoring and prediction of computing grid resources and network conditions becomes inevitable.Cited by: 2
https://ieeexplore.ieee.org/document/5533166/
In this study, support vector regression (SVR), which is an effective regression algorithm, is applied to grid resource prediction. In order to obtain better prediction performance, SVR's parameters must be selected carefully. Therefore, a particle swarm optimization-based SVR (PSO-SVR) model, in which PSO is used to determine free parameters ...Cited by: 9
https://www.infona.pl/resource/bwmeta1.element.ieee-art-000004620509
Therefore, resource prediction is a crucial direction for job scheduling system and grid users. In this paper, Nu-support vector regression (v-SVR) is applied to solve resource prediction problem. The method of parallel multidimensional step search is also introduced to select parameters for v-SVR prediction model.
http://www.ccsenet.org/journal/index.php/mas/article/download/8042/6048
Grid Resource Prediction based on Support Vector Regression and Simulated Annealing Algorithms Ying Zheng Editorial Department of Journal Inner Mongolia University for Nationalities Tongliao 028043, China E-mail: [email protected] Abstract Accurate grid resources prediction is crucial for a grid …
http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.662.2841
CiteSeerX - Document Details (Isaac Councill, Lee Giles, Pradeep Teregowda): Accurate grid resources prediction is crucial for a grid scheduler. In this study, support vector regression (SVR), which is a novel and effective regression algorithm, is applied to grid resources prediction. In order to build an effective SVR model, SVR’s parameters must be selected carefully.
https://ieeexplore.ieee.org/document/7469173/
Dec 13, 2015 · Abstract: To provide effective fault prediction on power plant equipment, a method of fault prediction based on support vector regression is proposed in this paper. First, we calculate the correlation coefficient to select proper features to form the feature vector, Then we use the grid search method to optimize the two important parameters of ...
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