An approach to forecasting QoS attributes of web services based on ARIMA and GARCH models

Proceedings - 2012 IEEE 19th International Conference on Web Services, ICWS 2012

Volumn , Issue , 2012, Pages 74-81

  Amin, Ayman ^a   Colman, Alan ^a   Grunske, Lars ^b  

^a SWINBURNE UNIVERSITY OF TECHNOLOGY   (Australia)

^b University of Koblenz Landau   (Germany)

Author keywords

ARIMA Models; GARCH Models; QoS Forecasting; QoS Volatility; Quality of Service (QoS); Service Selection and Management

Indexed keywords

ARIMA MODELS; CONSTANT VARIATIONS; CRITICAL PROBLEMS; DATA SETS; DYNAMIC CONTEXTS; FORECASTING ACCURACY; GARCH MODELS; HIGH VOLATILITY; PERFORMANCE ASPECTS; QOS ATTRIBUTES; QOS MEASURE; SERVICE SELECTION; SUPPORT SERVICES; TIME VARYING;

DATA PROCESSING; QUALITY OF SERVICE; WEB SERVICES; WEBSITES;

FORECASTING;

EID: 84866378179     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICWS.2012.37     Document Type: Conference Paper

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