Network processing elements in virtual machines, also known as Network Function Virtualization (NFV) often face CPU bottlenecks at the virtualization interface. Even highly optimized paravirtual device interfaces fall short of the throughput requirements of modern devices. Passthrough devices, together with SR-IOV support for multiple device virtual functions (VF) and IOMMU support, mitigate th...

In this work we have designed three algorithms, by doing amalgamation of heuristic method and migration control. Virtual Machine (VM) selection is the immediate step after the host overload is detected. Now decision needs to be made to choice the VM(s) to migrate. VM selection is an important task and the energy consumption depends on the selection. Three VM selection strategies have been propo...

In virtualized environments, performance interference between virtual machines (VMs) is a key challenge. In order to mitigate resource contention, an efficient VM scheduling is positively necessary. In this paper, we propose a workload-aware VM scheduler on multi-core systems, which finds a systemwide mapping of VMs to physical cores. Our work aims not only at minimizing the number of used host...

This paper considers the scenario where multiple clusters of Virtual Machines (i.e., termed Virtual Clusters) are hosted in a Cloud system consisting of a cluster of physical nodes. Multiple Virtual Clusters (VCs) cohabit in the physical cluster, with each VC offering a particular type of service for the incoming requests. In this context, VM consolidation, which strives to use a minimal number...

Rapid growth of the IT industry has led to significant energy consumption in the last decade. Data centers swallow an enormous amount of electrical energy and have high operating costs and carbon dioxide excretions. In response to this, the dynamic consolidation of virtual machines (VMs) allows for efficient resource management and reduces power consumption through the live migration of VMs in ...