Measuring prediction sensitivity of a cloud auto-scaling system

Proceedings - IEEE 38th Annual International Computers, Software and Applications Conference Workshops, COMPSACW 2014

Volumn , Issue , 2014, Pages 690-695

  Nikravesh, Ali Yadavar ^a   Ajila, Samuel A ^a   Lung, Chung Horng ^a  

^a CARLETON UNIVERSITY   (Canada)

Author keywords

Cloud computing; Machine learning; Performance prediction; Resource provisioning

Indexed keywords

APPLICATION PROGRAMS; ARTIFICIAL INTELLIGENCE; CLOUD COMPUTING; COSTS; ECONOMIC AND SOCIAL EFFECTS; ELASTICITY; LEARNING SYSTEMS; SUPPORT VECTOR MACHINES;

NEURAL NETWORK (NN); OPTIMAL TRAINING; PERFORMANCE PREDICTION; PREDICTION ACCURACY; RESEARCH STUDIES; RESOURCE PROVISIONING; SCALING MECHANISM; SERVICE LEVEL AGREEMENTS;

FORECASTING;

EID: 84931090564     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/COMPSACW.2014.116     Document Type: Conference Paper

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