Fuzzy-Neural Web Switch Supporting Differentiated Service

  • Leszek Borzemski
  • Krzysztof Zatwarnicki
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4252)


New designs of the Web switches must incorporate a client-and-server-aware adaptive dispatching algorithm to be able to optimize multiple static and dynamic services providing quality of service and service differentiation. This paper presents such an algorithm called FNRD (Fuzzy-Neural Request Distribution) which operates at layer-7 of the OSI protocol stack. This algorithm assigns each incoming request to the server with the least expected response time estimated using the fuzzy approach. FNRD has ability for learning and adaptation by means of a neural network feedback loop. We demonstrate through the simulations that our dispatching policy is more effective than state-of-the-art layer-7 reference dispatching policies CAP (Client-Aware Policy) and LARD (Locality Aware Request Distribution).


Workload Model Individual Request Namic Request Request Distribution Expect Response Time 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2006

Authors and Affiliations

  • Leszek Borzemski
    • 1
  • Krzysztof Zatwarnicki
    • 2
  1. 1.Institute of Information Science and EngineeringWroclaw University of TechnologyWroclawPoland
  2. 2.Department of Electrical Engineering and Automatic ControlTechnical University of OpoleOpolePoland

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