984 research outputs found
Virtualizing Monitoring and Control Systems: First Operational Experience and Future Applications
Virtualization is a technology that allows emulating a complete computer platform. The potential use ranges from consolidating hardware to running several different operating systems in parallel on one computer to preserving the operability of heritage software. GSOC has been investigating the possibilities of virtualization for some time. Aside from the usual approach of virtualizing the central servers out of administrational, consolidational reasons, the possibilities and advantages of control room client virtualization was explored. While moving mainstream in other businesses, the space community is cautious to apply this technique to the mission critical monitoring and control systems. This paper illustrates three virtualization steps that are underway at GSOC and presents the experiences gained
NFV Based Gateways for Virtualized Wireless Sensors Networks: A Case Study
Virtualization enables the sharing of a same wireless sensor network (WSN) by
multiple applications. However, in heterogeneous environments, virtualized
wireless sensor networks (VWSN) raises new challenges such as the need for
on-the-fly, dynamic, elastic and scalable provisioning of gateways. Network
Functions Virtualization (NFV) is an emerging paradigm that can certainly aid
in tackling these new challenges. It leverages standard virtualization
technology to consolidate special-purpose network elements on top of commodity
hardware. This article presents a case study on NFV based gateways for VWSNs.
In the study, a VWSN gateway provider, operates and manages an NFV based
infrastructure. We use two different brands of wireless sensors. The NFV
infrastructure makes possible the dynamic, elastic and scalable deployment of
gateway modules in this heterogeneous VWSN environment. The prototype built
with Openstack as platform is described
An Experiment on Bare-Metal BigData Provisioning
Many BigData customers use on-demand platforms in the cloud, where they can get a dedicated virtual cluster in a couple of minutes and pay only for the time they use. Increasingly, there is a demand for bare-metal bigdata solutions for applications that cannot tolerate the unpredictability and performance degradation of virtualized systems. Existing bare-metal solutions can introduce delays of 10s of minutes to provision a cluster by installing operating systems and applications on the local disks of servers. This has motivated recent research developing sophisticated mechanisms to optimize this installation. These approaches assume that using network mounted boot disks incur unacceptable run-time overhead. Our analysis suggest that while this assumption is true for application data, it is incorrect for operating systems and applications, and network mounting the boot disk and applications result in negligible run-time impact while leading to faster provisioning time.This research was supported in part by the MassTech
Collaborative Research Matching Grant Program, NSF
awards 1347525 and 1414119 and several commercial
partners of the Massachusetts Open Cloud who may be
found at http://www.massopencloud.or
- …