Tuning of fuzzy models by fuzzy neural networks
Fuzzy Sets and Systems
Capacity planning for Web performance: metrics, models, and methods
Capacity planning for Web performance: metrics, models, and methods
Locality-aware request distribution in cluster-based network servers
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
A client-aware dispatching algorithm for web clusters providing multiple services
Proceedings of the 10th international conference on World Wide Web
The state of the art in locally distributed Web-server systems
ACM Computing Surveys (CSUR)
Dynamically Selecting Optimal Distribution Strategies for Web Documents
IEEE Transactions on Computers
Web switch support for differentiated services
ACM SIGMETRICS Performance Evaluation Review
Globally Distributed Content Delivery
IEEE Internet Computing
Replication for web hosting systems
ACM Computing Surveys (CSUR)
Replication for web hosting systems
ACM Computing Surveys (CSUR)
Content Delivery Networks: Status and Trends
IEEE Internet Computing
Application of Fuzzy Logic to Approximate Reasoning Using Linguistic Synthesis
IEEE Transactions on Computers
Modern Control Theory
Fuzzy-neural web switch supporting differentiated service
KES'06 Proceedings of the 10th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part II
Using adaptive fuzzy-neural control to minimize response time in cluster-based web systems
AWIC'05 Proceedings of the Third international conference on Advances in Web Intelligence
KES'05 Proceedings of the 9th international conference on Knowledge-Based Intelligent Information and Engineering Systems - Volume Part III
Fuzzy logic = computing with words
IEEE Transactions on Fuzzy Systems
CDNs with Global Adaptive Request Distribution
KES '08 Proceedings of the 12th international conference on Knowledge-Based Intelligent Information and Engineering Systems, Part II
USING AUTONOMOUS SYSTEM TOPOLOGICAL INFORMATION IN A WEB SERVER PERFORMANCE PREDICTION
Cybernetics and Systems
Global Distribution of HTTP Requests Using the Fuzzy-Neural Decision-Making Mechanism
ICCCI '09 Proceedings of the 1st International Conference on Computational Collective Intelligence. Semantic Web, Social Networks and Multiagent Systems
Neuro-fuzzy models in global HTTP request distribution
ICCCI'10 Proceedings of the Second international conference on Computational collective intelligence: technologies and applications - Volume PartI
Adaptive request distribution in cluster-based web system
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
KES'11 Proceedings of the 15th international conference on Knowledge-based and intelligent information and engineering systems - Volume Part I
Guaranteeing quality of service in globally distributed web system with brokers
ICCCI'11 Proceedings of the Third international conference on Computational collective intelligence: technologies and applications - Volume Part II
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Today's knowledge and content Web-based technologies call for adaptive and intelligent algorithms for accessing the resources, especially to respond to Semantic Web, as well to performance challenges. This work presents the application of two machine learning techniques in an adaptive decision making framework, namely a fuzzy logic and neural networks, to deploy the adaptive and intelligent dispatching algorithm for resource requesting within a geographically distributed fully replicated Web sites. Our approach and algorithm can be used in content distribution and delivery networks where due to content replication each Web server can respond to the client request. Intelligent redirection mechanism redirects the request from the originating site's server to the "best" content source to deliver the content in the fastest manner. First, we introduce a broker-based system architecture. Next, we develop a new global adaptive intelligent request distribution algorithm. Our algorithm called GARDiB by a means of the fuzzy-neural techniques redirects each incoming request to local service with the least expected response time, which takes into account, the transfer time of the request and the response, as well as the time elapsed on the local service that responds to the request. Our simulations showed the effectiveness of the proposed adaptive distribution.