A new Approach to Modeling of Linux Virtual Server based on Performance Metrics using an Optimal Load Balancing Algorithm
نویسندگان
چکیده
The cluster web server does not only allow clients to access a site that will provide better response time but also provides an another level of redundancy in the case of the whole site failure. In advance of a simple load balancing, this requires a comprehensive scheme for traffic management, which includes the principle of an optimal load balancing for the process of client requests across multiple clusters of the real servers. This paper presents an optimal load balancing algorithm base on ANFIS (Adaptive Neuro-Fuzzy Inference System) modeling and FIS (Fuzzy Inference Engine) for the local status of the real servers using the performance metrics, and show the benefits provided by the suggested method in the loadbalancing performance.
منابع مشابه
An Optimal Load Balancing Method for the Web-Server Cluster Based on the ANFIS Model
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...
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