An Optimal Load Balancing Method for the Web-Server Cluster Based on the ANFIS Model

نویسندگان

  • Ilseok Han
  • Wanyoung Kim
  • Hagbae Kim
چکیده

This paper presents an optimal load balancing algorithm based on both of the ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling and the FIS (Fuzzy Inference System) for the local status of real servers. It also shows the substantial benefits such as the removal of loadscheduling overhead, QoS (Quality of Service) provisioning and providing highly available servers, provided by the suggested method. key words: linux virtual server, load balancing, ANFIS, linux clustering, server monitoring, traffic distribution

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عنوان ژورنال:
  • IEICE Transactions

دوره 88-D  شماره 

صفحات  -

تاریخ انتشار 2005