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.
