KSwSVR: A new load forecasting method for efficient resources provisioning in cloud

Proceedings - IEEE 10th International Conference on Services Computing, SCC 2013

Volumn , Issue , 2013, Pages 120-127

  Hu, Rongdong ^a   Jiang, Jingfei ^a   Liu, Guangming ^a,b   Wang, Lixin ^a  

^a NATIONAL UNIVERSITY OF DEFENSE TECHNOLOGY   (China)

^b National Supercomputer Center   (China)

Author keywords

Cloud computing; Kalman smoother; Load forecasting; Resources provisioning; Support vector regression

Indexed keywords

CLOUD COMPUTING ENVIRONMENTS; KALMAN SMOOTHER; LOAD FORECASTING; RESOURCES PROVISIONING; SERVICE LEVEL AGREEMENTS; STATISTICAL LEARNING THEORY; SUPPORT VECTOR REGRESSION (SVR); SUPPORT VECTOR REGRESSION ALGORITHMS;

CLOUD COMPUTING; COMPUTER SYSTEMS; QUALITY OF SERVICE;

ELECTRIC LOAD FORECASTING;

EID: 84891952088     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/SCC.2013.67     Document Type: Conference Paper

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