Title :
On the best adaptive model for web services response time prediction
Author :
Albu, Razvan-Daniel ; Felea, Ioan ; Popentiu-Vladicescu, Florin
Author_Institution :
Fac. of Electr. Eng. & Inf. Technol., Univ. of Oradea, Oradea, Romania
Abstract :
Quality of Services has an essential role throughout the process of Cloud-based web service composition for faultless and dynamic integration of business applications. Nonetheless, as Cloud-based web services grow, it becomes complicated to make possible service composition rapidly. Because web services response time can be a priceless tool for CWS (Cloud-based web service) composition satisfying end users QoS requirements, in this study we search for the best adaptive model that can do this task.
Keywords :
Web services; cloud computing; quality of service; CWS; Web services response time prediction; best adaptive model; business applications; cloud-based Web service composition; end users QoS requirements; quality of services; Adaptation models; Computational modeling; Neural networks; Predictive models; Quality of service; Time factors; Web services; adaptive models; cloud computing; cloud-based web; neural networks; service;
Conference_Titel :
Systems, Signals and Image Processing (IWSSIP), 2013 20th International Conference on
Conference_Location :
Bucharest
Print_ISBN :
978-1-4799-0941-4
DOI :
10.1109/IWSSIP.2013.6623444
