Abstract-Efficient resource allocation is one of the critical performance challenges in an Infrastructure as a Service (IaaS) cloud. Virtual machine (VM) placement and migration decision making methods are integral parts of these resource allocation mechanisms. We present a novel virtual machine placement algorithm which takes performance isolation amongst VMs and their continuous resource usage into account while taking placement decisions. Performance isolation is a form of resource contention between virtual machines interested in basic low level hardware resources (CPU, memory, storage, and networks bandwidth). Resource contention amongst multiple co-hosted neighbouring VMs form the basis of the presented novel approach. Experiments are conducted to show the various categories of applications and effect of performance isolation and resource contention amongst them. A per-VM 3-dimensional Resource Utilization Vector (RUV) has been continuously calculated and used for placement decisions while taking conflicting resource interests of VMs into account. Experiments using the novel placement algorithm: VUPIC, show effective improvements in VM performance as well as overall resource utilization of the cloud.
In REF , performance isolation (e.g., CPU, memory, storage, and network bandwidth), resource contention properties (among VMs on the same physical host), and VMs behavioral usage patterns are taken into account in decisions on VM placement, VM migration, and cloud resource allocations.
VUPIC: Virtual Machine Usage Based Placement in IaaS Cloud
ArXiv
ArXiv
Computer Science