The viability of the Variational Multi-Scale (VMS), an approach for Large Eddy Simulation (LES), in the context of turbulence control is explored. First, we validate our VMS implementation for a fully-developed turbulent channel. Later, VMS results for opposition control of the turbulent channel flow are compared against available Direct Numerical Simulation (DNS) and LES using dynamic subgrid-...

In a virtual machine (VM) consolidation environment, it has been observed that CPU sharing among multiple VMs will lead to I/O processing latency because of the CPU access latency experienced by each VM. In this paper, we present vTurbo, a system that accelerates I/O processing for VMs by offloading I/O processing to a designated core. More specifically, the designated core – called turbo core ...

Combining the variational multiscale (VMS) method for large-eddy simulation with a discontinuous Galerkin (DG) spatial discretization leads to a synergistic approach to turbulence simulation that we call the local variational multiscale (`VMS) method. In `VMS the flexibility of DG enables the large and small-scale spaces to be set on each element independently. In this paper, preliminary result...

Server consolidation using virtual machines (VMs) can improve resource utilization by sharing physical resources. Each VM is isolated from the others for security and VMs can be easily migrated for load balancing. Since there are several VMs in a physical machine, the virtual machine monitor (VMM) multiplexes the physical resources among VMs according to system settings. The administrators dete...

To clarify, the interest in 3D technology and Virtual Reality (VR) is growing both from academia and industry, promoting the quick development of VMs (e.g., Second Life). Compared with traditional e-marketplaces, VMs have advanced characteristics such as stereoscopic 3D visualization, realtime interactivity, immersion and multisensory feedback [4]. However, there are also inherited trust proble...

In this extended abstract a three level formulation of the variational multiscale (VMS) large eddy simulation (LES) method for turbulent flow computations on moving/deforming grids is presented. A consistent method to improve the VMS-LES method by computing the small-scale Smagorinsky constant (C′ s) dynamically as the flow develops (dynamic VMS-LES) is also developed. An application of VMS-LES...

Virtualization technology is a core technology in Cloud Platform, which allows the hardware, the operating systems, and the applications running atop to be encapsulated into virtual machines (VMs). Along with the increasing scale and complexity of Cloud Platform, various faults cause the frequent downtime accidents of VMs, which has seriously lowered the dependability of Cloud Platform. Anomaly...

Cloud computing is a most fascinated technology that is being utilized by IT companies to reduce their infrastructure setup cost by outsourcing data and computation on demand. Cloud computing offer services in three basic models such as SaaS, PaaS and Infrastructure as a Service (IaaS). Where IaaS is one of the fundamental cloud service model in which cloud provider offers Virtual Machines (VMs...

We explore the capabilities of the variational multiscale (VMS) method in the context of turbulence control by applying VMS to the simulation of a simple opposition control strategy for turbulent channel flow with the results compared to prior direct numerical simulations and large-eddy simulations (LES). In all cases, the VMS method is found to be more efficient and more accurate than traditio...

CONCLUSION Vasomotor symptoms (VMS) and especially hot flushes are negatively associated with recovery from menopause-related dizziness. A further study is justified to determine whether hormone replacement therapy (HRT) can shorten this recovery time. OBJECTIVES This study aimed to compare the rate of recovery from dizziness between patients who had VMS and those who did not. We also evaluat...