Abstract
This work presents the application of two adaptive decision making algorithms in Web switch controlling operations of cluster-based Web systems. The proposed approach applies machine learning techniques; namely a fuzzy logic and neural networks, to deploy the adaptive and intelligent dispatching within locally distributed fully replicated Web servers. We present the adaptive control framework and the design of Web switch applying our conception. We demonstrate through the simulations experiments the difference between our algorithms and compare them with the most popular and reference distribution algorithms.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
