Abstract:
Server Virtualization and Cloud based data centre solutions are becoming popular
for increasing resource utilization, better manageability and cost reduction.
Server virtualization allows us to run multiple independent instances of operating
systems i.e. virtual machines (VMs) on a single physical server. Physical resources
of server like CPU, memory, storage and network is shared among multiple VMs,
and thus it maximizes the resource utilization. But on the other side, advantage
of resource utilization may also raise performance issues if these resources are
not managed and provisioned in a proper way among VMs. Network resource is
crucial for the performance of network based applications. Sometime despite of
having enough CPU and memory resource, application service delivers degraded
performance to end user just because of in-su cient provisioned network resource
to the VM. Therefore e cient network resource allocation technique is required
for application QoS. Network resource can be provisioned proactively to VMs, but
it requires advance knowledge of application user load pattern based on statistical
analysis. This technique does not work e ciently because application user load is
highly dynamic and does not always follow the predictable pattern. We propose
an adaptive QoS mechanism using reactive approach, which monitors the application
user load in a real time and provision network resources accordingly. More
network resources are provisioned to most demanding applications and vice versa.
OpenFlow based Software De ned Networking (SDN) technology is used to meet
the objective. Our test result shows that Quality of Experience (QoE) targets of
maximum user sessions are met which belongs to demanding application.
