The biggest advantage of employing virtualization in cloud is the ability to provision resource flexibly which makes “pay-as-use” model possible. However, since the workload of virtual machine constantly changes, it is still a challenge that efficiently schedule resource by migrating virtual machines among lots of hosts, especially with multi-objective to meet, like power and QoS constraints. In this research, we present a dynamic resource scheduling solution, which can well determines when to schedule, which to schedule, and where to schedule. It is an integrated framework that aims to deal well with hotspot mitigation, load balancing and server consolidation which are classic problems to solve in on-demand clouds. The experimental results show that our framework strikes a balance between efficiency, overhead and instantaneity.
How to deal well with hotspot mitigation, load balancing and server consolidation in a datacenter?
when to schedule
which to schedule
where to schedule