Hyper-V Installation Test Lab Guide

Cornell University - arXiv, 2012

Virtualization technology and cloud computing have brought a paradigm shift in the way we utilize, deploy and manage computer resources. They allow fast deployment of multiple operating system as containers on physical machines which can be either discarded after use or checkpointed for later re-deployment. At European Organization for Nuclear Research (CERN), we have been using virtualization technology to quickly setup virtual machines for our developers with pre-configured software to enable them to quickly test/deploy a new version of a software patch for a given application. This paper reports both on the techniques that have been used to setup a private cloud on a commodity hardware and also presents the optimization techniques we used to remove deployment specific performance bottlenecks.

""Remote laboratories are gaining prominence in university education, especially in respect of their ability to support distance education by allowing students to carry out experiments without being near the actual equipment and also by providing secure, equitable sharing of limited laboratory resources. For some types of laboratory experiments, remote laboratories have not in the past been viable to build due to infrastructure and maintenance costs. Large-scale remote laboratories may require a proportionally large number of servers to provide remote control, monitoring and management of the various experiments. Server Virtualization software allows individual physical servers to host multiple virtual machines that can run multiple operating systems concurrently. In 2005, the Faculty of Engineering at UTS designed a remote Programmable Logic Controller (PLC) laboratory for Mechanical and Mechatronic engineering students based around the use of the popular Server Virtualization software package, VMware™. This paper details the various benefits of Server Virtualization that have been realised through the implementation of the Remote PLC laboratory and benefits for remote laboratories in general.""

2021

This deliverable presents a method to provide the researchers with a consistent software environment across multiple computing facilities. The consistency is achieved by constructing a set of build scripts that will install the software tools with the same configurations and versions with the same set of dependencies. EasyBuild was selected as the framework to install and configure the software from source code, optimised for the underlying system and expose them as software-modules with uniform naming across systems. This way the researchers can bring their analysis pipelines and run on any of the systems just by loading the same set of modules.

2011 12th International Carpathian Control Conference (ICCC), 2011

This paper describes the concept and the realization of a virtual laboratory of microprocessor technology that has been created at our faculty. The virtual laboratory is an online platform that provides access to the laboratory workplaces during the evenings or weekends when the laboratory is closed. It allows students to work on the individual projects remotely from their home with nearly the same comfort as they work locally. This paper proposes and evaluates two implementation techniques for the virtualization of the hardware equipments in the laboratory. Moreover, it introduces our own developed tools to support the virtualization and to help to inexperienced embedded system developers (in our case students).

2018

This publication has been developed by NIST in accordance with its statutory responsibilities under the Federal Information Security Modernization Act (FISMA) of 2014, 44 U.S.C. § 3551 et seq., Public Law (P.L.) 113-283. NIST is responsible for developing information security standards and guidelines, including minimum requirements for federal information systems, but such standards and guidelines shall not apply to national security systems without the express approval of appropriate federal officials exercising policy authority over such systems. This guideline is consistent with the requirements of the Office of Management and Budget (OMB) Circular A-130. Nothing in this publication should be taken to contradict the standards and guidelines made mandatory and binding on federal agencies by the Secretary of Commerce under statutory authority. Nor should these guidelines be interpreted as altering or superseding the existing authorities of the Secretary of Commerce, Director of the OMB, or any other federal official. This publication may be used by nongovernmental organizations on a voluntary basis and is not subject to copyright in the United States. Attribution would, however, be appreciated by NIST.

Communications in Computer and Information Science, 2013

Almost ten years after its premises, the Grid'5000 testbed has become one of the most complete testbed for designing or evaluating large-scale distributed systems. Initially dedicated to the study of High Performance Computing, the infrastructure has evolved to address wider concerns related to Desktop Computing, the Internet of Services and more recently the Cloud Computing paradigm. This report present recent improvements of the Grid'5000 software and services stack to support large-scale experiments using virtualization technologies as building blocks. Such contributions include the deployment of customized software environments, the reservation of dedicated network domain and the possibility to isolate them from the others, and the automation of experiments with a REST API. We illustrate the interest of these contributions by describing three different use-cases of large-scale experiments on the Grid'5000 testbed. The first one leverages virtual machines to conduct larger experiments spread over 4000 peers. The second one describes the deployment of 10000 KVM instances over 4 Grid'5000 sites. Finally, the last use case introduces a one-click deployment tool to easily deploy major IaaS solutions. The conclusion highlights some important challenges of Grid'5000 related to the use of OpenFlow and to the management of applications dealing with tremendous amount of data.

Virtualization technology and cloud computing have brought a paradigm shift in the way we utilize, deploy and manage computer resources. They allow fast deployment of multiple operating system as containers on physical machines which can be either discarded after use or checkpointed for later re-deployment. At European Organization for Nuclear Research (CERN), we have been using virtualization technology to quickly setup virtual machines for our developers with pre-configured software to enable them to quickly test/deploy a new version of a software patch for a given application. This paper reports both on the techniques that have been used to setup a private cloud on a commodity hardware and also presents the optimization techniques we used to remove deployment specific performance bottlenecks.

This document contains test procedures for the High Level Architecture (HLA) Interface Specification, v1. 3. Section I discusses the terminology used, the organization of the procedures, and how the procedures are defined.

Energies

The complexity of a smart grid with a high share of renewable energy resources introduces several issues in testing power equipment and controls. In this context, real-time simulation and Hardware in the Loop (HIL) techniques can tackle these problems that are typical for power system testing. However, implementing a convoluted HIL setup in a single infrastructure can be physically impossible or can increase the time required to test a smart grid application in detail. This paper introduces the Joint Test Facility for Smart Energy Networks with Distributed Energy Resources (JaNDER) that allows users to exchange data in real-time between two or more infrastructures. This tool enables the integration of infrastructures, exploiting the synergies between them, and creating a virtual infrastructure that can perform more experiments using a combination of the resources installed in each infrastructure. In particular, JaNDER can extend a HIL setup. In order to validate this new testing con...

2018

The purposes of this research are to investigate: (1) the process of using virtual machine simulation method in operation system installation learning, (2) the differences of students' learning outcomes between the ones using Virtual Machine simulation method and the ones using conventional method, and (3) the effectiveness of using Virtual Machine simulation method in operation system installation learning. This research is a Quasi Experiment research. The research design employed Pretest-Posttest Control Design with 60 subjects as the samples of the research. Data was collected by employing of students' learning outcomes. Data was analyzed by using descriptive and parametric inferential statistic with independent sample t-test analysis. The results of the research show that: (1) the Process of using Virtual Machine simulation method in operating system installation learning are the material preparation phase and implementation phase which consisted of several activities, n...