Predictive Fuzzy Request Control Mechanism in Virtualized Server Environment

Abstract

In virtualized server environment, various services are revealed to high rates of incoming requests. The servers may become overloaded during temporary traffic peaks when more requests arrive than the server is considered for. Request drop rate increase more and more because of unfair overload prediction decision among admission control method. In this paper, Predictive Fuzzy Request Control mechanism (PFRCM) was developed for preventing and controlling server overloads and reducing request drop rate, and for getting response time guarantee for user satisfaction. In this work, overload prediction decision is made by considering three main parameters. The information of overload predictor support effectively for admission control (AC) process. So proposed PFRCM can manage multiple requests and make server more stable and rapid by reducing request drop rate. And then virtualized server architecture is set up in our test bed by using Xen hypervisor technology.