Virt-Manager
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
Implementation of Machining on the Cloud
Implementation of Machining on the Cloud: A Case Study in PLM Environment Saurav Bhatt, Frédéric Segonds, Nicolas Maranzana, Ameziane Aoussat, Vincent Frerebeau, Damien Chasset To cite this version: Saurav Bhatt, Frédéric Segonds, Nicolas Maranzana, Ameziane Aoussat, Vincent Frerebeau, et al.. Implementation of Machining on the Cloud: A Case Study in PLM Environment. 13th IFIP Interna- tional Conference on Product Lifecycle Management (PLM), Jul 2016, Columbia, SC, United States. pp.341-355, 10.1007/978-3-319-54660-5_31. hal-01699699 HAL Id: hal-01699699 https://hal.inria.fr/hal-01699699 Submitted on 2 Feb 2018 HAL is a multi-disciplinary open access L’archive ouverte pluridisciplinaire HAL, est archive for the deposit and dissemination of sci- destinée au dépôt et à la diffusion de documents entific research documents, whether they are pub- scientifiques de niveau recherche, publiés ou non, lished or not. The documents may come from émanant des établissements d’enseignement et de teaching and research institutions in France or recherche français ou étrangers, des laboratoires abroad, or from public or private research centers. publics ou privés. Distributed under a Creative Commons Attribution| 4.0 International License Implementation of Machining on the Cloud: A case study in PLM environment Saurav Bhatt1,3, Frédéric Segonds2, Nicolas Maranzana2, Améziane Aoussat2, Vincent Frerebeau3, Damien Chasset3 1 Delhi College of Engineering, Delhi, India 2 Arts et Métiers, Paris Tech, LCPI, 151 Boulevard de l’Hôpital, 75013 Paris, France 3 Dassault Systemes, 10 Rue Marcel Dassault, 78140 Velizy Villacoublay, France [email protected] Abstract. This paper focuses on the implementation of cloud solutions in the field of machining which is encompassed by the much larger field of manufacturing. -
Enhancing Undergraduate Understanding of Subtractive Manufacturability Through Virtualized Simulation of CNC Machining
Paper ID #18310 Enhancing Undergraduate Understanding of Subtractive Manufacturability through Virtualized Simulation of CNC Machining Mr. Roby Lynn Dr. Kathryn W. Jablokow, Pennsylvania State University, Great Valley Dr. Kathryn Jablokow is an Associate Professor of Engineering Design and Mechanical Engineering at Penn State University. A graduate of Ohio State University (Ph.D., Electrical Engineering), Dr. Jablokow’s teaching and research interests include problem solving, invention, and creativity in science and engineer- ing, as well as robotics and manufacturing education. In addition to her membership in ASEE, she is a Senior Member of IEEE, a Fellow of ASME, and the recipient of the 2016 ASME Ruth and Joel Spira Outstanding Design Educator Award. Dr. Jablokow is the architect of a unique 4-course module fo- cused on creativity and problem solving leadership and is currently developing a new methodology for cognition-based design. She is one of three instructors for Penn State’s Massive Open Online Course (MOOC) on Creativity, Innovation, and Change, and she is the founding director of the Problem Solving Research Group, whose 50+ collaborating members include faculty and students from several universities, as well as industrial representatives, military leaders, and corporate consultants. Prof. Christopher Saldana Dr. Thomas Marshall Tucker, Tucker Innovations Dr. Tommy Tucker is the CEO and owner of Tucker Innovations. He has a Ph.D. in Mechanical Engineer- ing from the Georgia Institute of Technology. He has over 15 years of experience writing computationally intensive software applications for engineering, medical, and defense applications. After spending the early part of his career at high tech start-up companies, Dr. -
Effective Virtual CPU Configuration with QEMU and Libvirt
Effective Virtual CPU Configuration with QEMU and libvirt Kashyap Chamarthy <[email protected]> Open Source Summit Edinburgh, 2018 1 / 38 Timeline of recent CPU flaws, 2018 (a) Jan 03 • Spectre v1: Bounds Check Bypass Jan 03 • Spectre v2: Branch Target Injection Jan 03 • Meltdown: Rogue Data Cache Load May 21 • Spectre-NG: Speculative Store Bypass Jun 21 • TLBleed: Side-channel attack over shared TLBs 2 / 38 Timeline of recent CPU flaws, 2018 (b) Jun 29 • NetSpectre: Side-channel attack over local network Jul 10 • Spectre-NG: Bounds Check Bypass Store Aug 14 • L1TF: "L1 Terminal Fault" ... • ? 3 / 38 Related talks in the ‘References’ section Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications What this talk is not about 4 / 38 Related talks in the ‘References’ section What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications 4 / 38 What this talk is not about Out of scope: Internals of various side-channel attacks How to exploit Meltdown & Spectre variants Details of performance implications Related talks in the ‘References’ section 4 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP QEMU QEMU VM1 VM2 Custom Disk1 Disk2 Appliance ioctl() KVM-based virtualization components Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) libvirtd QMP QMP Custom Appliance KVM-based virtualization components QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 OpenStack, et al. libguestfs Virt Driver (guestfish) Custom Appliance KVM-based virtualization components libvirtd QMP QMP QEMU QEMU VM1 VM2 Disk1 Disk2 ioctl() Linux with KVM 5 / 38 libguestfs (guestfish) Custom Appliance KVM-based virtualization components OpenStack, et al. -
Industrial Control Via Application Containers: Migrating from Bare-Metal to IAAS
Industrial Control via Application Containers: Migrating from Bare-Metal to IAAS Florian Hofer, Student Member, IEEE Martin A. Sehr Antonio Iannopollo, Member, IEEE Faculty of Computer Science Corporate Technology EECS Department Free University of Bolzano-Bozen Siemens Corporation University of California Bolzano, Italy Berkeley, CA 94704, USA Berkeley, CA 94720, USA fl[email protected] [email protected] [email protected] Ines Ugalde Alberto Sangiovanni-Vincentelli, Fellow, IEEE Barbara Russo Corporate Technology EECS Department Faculty of Computer Science Siemens Corporation University of California Free University of Bolzano-Bozen Berkeley, CA 94704, USA Berkeley, CA 94720, USA Bolzano, Italy [email protected] [email protected] [email protected] Abstract—We explore the challenges and opportunities of control design full authority over the environment in which shifting industrial control software from dedicated hardware to its software will run, it is not straightforward to determine bare-metal servers or cloud computing platforms using off the under what conditions the software can be executed on cloud shelf technologies. In particular, we demonstrate that executing time-critical applications on cloud platforms is viable based on computing platforms due to resource virtualization. Yet, we a series of dedicated latency tests targeting relevant real-time believe that the principles of Industry 4.0 present a unique configurations. opportunity to explore complementing traditional automation Index Terms—Industrial Control Systems, Real-Time, IAAS, components with a novel control architecture [3]. Containers, Determinism We believe that modern virtualization techniques such as application containerization [3]–[5] are essential for adequate I. INTRODUCTION utilization of cloud computing resources in industrial con- Emerging technologies such as the Internet of Things and trol systems. -
Open Virtualization Infrastructure for Large Telco: How Turkcell Adopted Ovirt for Its Test and Development Environments
Open Virtualization Infrastructure for large Telco: How Turkcell adopted oVirt for its test and development environments DEVRIM YILMAZ SAYGIN BAKTIR Senior Expert Cloud Engineer Cloud Systems Administrator 09/2020 This presentation is licensed under a Creative Commons Attribution 4.0 International License About Turkcell ● Turkcell is a digital operator headquartered in Turkey ● Turkcell Group companies operate in 5 countries – Turkey, Ukraine, Belarus, Northern Cyprus, Germany ● Turkcell is the only NYSE-listed company in Turkey. ● www.turkcell.com.tr 3 Business Objectives ● Alternative solutions compatible with Turkcell operational and security standards ● Dissemination of open source infrastructure technologies within the company ● Competitive infrastructure with cost advantage 3 The journey of oVirt 4 The Journey of oVirt 3. Step three 1. Research & 2. Go-Live 3. Go-Live 4. Private Cloud 5. Go-Live Development Phase-1 Phase-2 Automation RHV 5 Research & Development ● Motivation Factors ○ Cost 1. Research & ○ Participation Development ○ Regulation ○ Independence ○ Expertise ● Risk Factors ○ Security ○ Quality ○ Compliance ○ Support ○ Worst Practices 6 Research & Development ● Why oVirt? ○ Open Source licensing 1. Research & ○ Community contribution Development ○ The same roadmap with commercial product ○ Support via subscription if required ○ Adequate features for enterprise management ○ Rest API support 6 Research & Development ● Difficulties for new infra solution ○ Integration with current infrastructure 1. Research & - Centralized Management Development - Certified/Licensed Solutions - Integration Cost ○ Incident & Problem Management - 3rd Party Support - Support with SLA ○ Acquired Habits - Customer Expectations - Quality of IT Infrastructure Services 6 Research & Development ● What we achieved ○ Building of PoC environment 1. Research & ○ V2V Migration Development ○ Upgrade Tests starting with v.4.3.2 ○ Functional Tests ○ Backup Alternative Solutions 6 Go-Live Phase-1 ● Phase-1 contains : ○ Building of new oVirt platform with unused h/w 2. -
A Virtual Machine Environment for Real Time Systems Laboratories
AC 2007-904: A VIRTUAL MACHINE ENVIRONMENT FOR REAL-TIME SYSTEMS LABORATORIES Mukul Shirvaikar, University of Texas-Tyler MUKUL SHIRVAIKAR received the Ph.D. degree in Electrical and Computer Engineering from the University of Tennessee in 1993. He is currently an Associate Professor of Electrical Engineering at the University of Texas at Tyler. He has also held positions at Texas Instruments and the University of West Florida. His research interests include real-time imaging, embedded systems, pattern recognition, and dual-core processor architectures. At the University of Texas he has started a new real-time systems lab using dual-core processor technology. He is also the principal investigator for the “Back-To-Basics” project aimed at engineering student retention. Nikhil Satyala, University of Texas-Tyler NIKHIL SATYALA received the Bachelors degree in Electronics and Communication Engineering from the Jawaharlal Nehru Technological University (JNTU), India in 2004. He is currently pursuing his Masters degree at the University of Texas at Tyler, while working as a research assistant. His research interests include embedded systems, dual-core processor architectures and microprocessors. Page 12.152.1 Page © American Society for Engineering Education, 2007 A Virtual Machine Environment for Real Time Systems Laboratories Abstract The goal of this project was to build a superior environment for a real time system laboratory that would allow users to run Windows and Linux embedded application development tools concurrently on a single computer. These requirements were dictated by real-time system applications which are increasingly being implemented on asymmetric dual-core processors running different operating systems. A real time systems laboratory curriculum based on dual- core architectures has been presented in this forum in the past.2 It was designed for a senior elective course in real time systems at the University of Texas at Tyler that combines lectures along with an integrated lab. -
Virtualization Getting Started Guide
Red Hat Enterprise Linux 7 Virtualization Getting Started Guide Introduction to virtualization technologies available with RHEL Last Updated: 2020-02-24 Red Hat Enterprise Linux 7 Virtualization Getting Started Guide Introduction to virtualization technologies available with RHEL Jiri Herrmann Red Hat Customer Content Services [email protected] Yehuda Zimmerman Red Hat Customer Content Services [email protected] Dayle Parker Red Hat Customer Content Services Laura Novich Red Hat Customer Content Services Jacquelynn East Red Hat Customer Content Services Scott Radvan Red Hat Customer Content Services Legal Notice Copyright © 2019 Red Hat, Inc. This document is licensed by Red Hat under the Creative Commons Attribution-ShareAlike 3.0 Unported License. If you distribute this document, or a modified version of it, you must provide attribution to Red Hat, Inc. and provide a link to the original. If the document is modified, all Red Hat trademarks must be removed. Red Hat, as the licensor of this document, waives the right to enforce, and agrees not to assert, Section 4d of CC-BY-SA to the fullest extent permitted by applicable law. Red Hat, Red Hat Enterprise Linux, the Shadowman logo, the Red Hat logo, JBoss, OpenShift, Fedora, the Infinity logo, and RHCE are trademarks of Red Hat, Inc., registered in the United States and other countries. Linux ® is the registered trademark of Linus Torvalds in the United States and other countries. Java ® is a registered trademark of Oracle and/or its affiliates. XFS ® is a trademark of Silicon Graphics International Corp. or its subsidiaries in the United States and/or other countries. -
Understanding Full Virtualization, Paravirtualization, and Hardware Assist
VMware Understanding Full Virtualization, Paravirtualization, and Hardware Assist Contents Introduction .................................................................................................................1 Overview of x86 Virtualization..................................................................................2 CPU Virtualization .......................................................................................................3 The Challenges of x86 Hardware Virtualization ...........................................................................................................3 Technique 1 - Full Virtualization using Binary Translation......................................................................................4 Technique 2 - OS Assisted Virtualization or Paravirtualization.............................................................................5 Technique 3 - Hardware Assisted Virtualization ..........................................................................................................6 Memory Virtualization................................................................................................6 Device and I/O Virtualization.....................................................................................7 Summarizing the Current State of x86 Virtualization Techniques......................8 Full Virtualization with Binary Translation is the Most Established Technology Today..........................8 Hardware Assist is the Future of Virtualization, but the Real Gains Have -
Fortianalyzer VM Install Guide This Document, Which Describes Installing Fortianalyzer VM in Your Virtual Environment
FortiAnalyzer VM - Install Guide VERSION 5.4 FORTINET DOCUMENT LIBRARY http://docs.fortinet.com FORTINET VIDEO GUIDE http://video.fortinet.com FORTINET BLOG https://blog.fortinet.com CUSTOMER SERVICE & SUPPORT https://support.fortinet.com FORTIGATE COOKBOOK http://cookbook.fortinet.com FORTINET TRAINING SERVICES http://www.fortinet.com/training FORTIGUARD CENTER http://www.fortiguard.com END USER LICENSE AGREEMENT http://www.fortinet.com/doc/legal/EULA.pdf FEEDBACK Email: [email protected] May 18, 2017 FortiAnalyzer VM 5.4 Install Guide 05-540-309958-20170518 TABLE OF CONTENTS Change Log 5 Introduction 6 FortiAnalyzer documentation 6 License and System Requirements 7 Licensing 7 Evaluation license 7 Minimum system requirements 8 Registration and Deployment 9 Register with Customer Service & Support 9 Deployment package 11 Deployment package contents 12 Deploying the appliance 13 Citrix XenServer deployment example 14 Create the virtual machine 14 Configure hardware settings 15 Start the virtual machine 17 Hyper-V deployment example 18 Create the virtual machine 18 Configure hardware settings 19 Start the virtual machine 23 KVM deployment example 24 Create the virtual machine 24 Configure hardware settings 26 Start the virtual machine 27 Open Xen deployment example 28 Create and configure the virtual machine 28 VMware deployment example 31 VMware vSphere 31 Deploy the OVF file 31 Configure hardware settings 34 Power on the virtual machine 35 Azure deployment example 37 Deploy the virtual machine 37 AWS deployment example 39 AWS Marketplace 1-Click Launch 39 AWS EC2 console 41 Initial Configuration 46 GUI access 46 Enable GUI access 46 Connect to the GUI 47 Upload the license file 48 Configure your FortiAnalyzer VM 48 Index 50 Change Log Change Log Date Change Description 2016-03-17 Initial release. -
Enabling Intel® Virtualization Technology Features and Benefits
WHITE PAPER Intel® Virtualization Technology Enterprise Server Enabling Intel® Virtualization Technology Features and Benefits Maximizing the benefits of virtualization with Intel’s new CPUs and chipsets EXECUTIVE SUMMARY Although virtualization has been accepted in most data centers, some users have not yet taken advantage of all the virtualization features available to them. This white paper describes the features available in Intel® Virtualization Technology (Intel® VT) that work with Intel’s new CPUs and chipsets, showing how they can benefit the end user and how to enable them. Intel® Virtualization Technology Goldberg. Thus, developers found it difficult Feature Brief and Usage Model to implement a virtual machine platform on Intel VT combines with software-based the x86 architecture without significant virtualization solutions to provide maximum overhead on the host machine. system utilization by consolidating multiple environments into a single server or PC. In 2005 and 2006, Intel and AMD, working By abstracting the software away from the independently, each resolved this by creat- underlying hardware, a world of new usage ing new processor extensions to the x86 models opens up that can reduce costs, architecture. Although the actual implemen- increase management efficiency, and tation of processor extensions differs strengthen security—all while making your between AMD and Intel, both achieve the computing infrastructure more resilient in same goal of allowing a virtual machine the event of a disaster. hypervisor to run an unmodified operating system without incurring significant emula- During the last four years, Intel has intro- tion performance penalties. duced several new features to Intel VT. Most of these features are well known, but others Intel VT is Intel’s hardware virtualization for may not be. -
KVM Based Virtualization and Remote Management Srinath Reddy Pasunuru St
St. Cloud State University theRepository at St. Cloud State Culminating Projects in Information Assurance Department of Information Systems 5-2018 KVM Based Virtualization and Remote Management Srinath Reddy Pasunuru St. Cloud State University, [email protected] Follow this and additional works at: https://repository.stcloudstate.edu/msia_etds Recommended Citation Pasunuru, Srinath Reddy, "KVM Based Virtualization and Remote Management" (2018). Culminating Projects in Information Assurance. 53. https://repository.stcloudstate.edu/msia_etds/53 This Starred Paper is brought to you for free and open access by the Department of Information Systems at theRepository at St. Cloud State. It has been accepted for inclusion in Culminating Projects in Information Assurance by an authorized administrator of theRepository at St. Cloud State. For more information, please contact [email protected]. 1 KVM Based Virtualization and Remote Management by Srinath Reddy Pasunuru A Starred Paper Submitted to the Graduate Faculty of St. Cloud State University in Partial Fulfillment of the Requirements for the Degree Master of Science in Information Assurance May, 2018 Starred Paper Committee Susantha Herath, Chairperson Ezzat Kirmani Sneh Kalia 2 Abstract In the recent past, cloud computing is the most significant shifts and Kernel Virtual Machine (KVM) is the most commonly deployed hypervisor which are used in the IaaS layer of the cloud computing systems. The Hypervisor is the one which provides the complete virtualization environment which will intend to virtualize as much as hardware and systems which will include the CPUs, Memory, network interfaces and so on. Because of the virtualization technologies such as the KVM and others such as ESXi, there has been a significant decrease in the usage if the resources and decrease in the costs involved. -
VDI with UDS Enterprise and Microsoft Hyper-V
UDS Enterprise VDI with UDS Enterprise & Microsoft Hyper-V www.udsenterprise.com About UDS Enterprise UDS Enterprise functionalities UDS Enterprise is a multiplatform connection broker . Scalable platform. It supports configurations for: in high availability by deploying several UDS Enterprise brokers in cluster . VDI: Windows and Linux virtual desktops . Unlimited number of configurations thanks to administration and deployment its additional module management system . Windows and Linux app virtualization and the definition of configuration variables . Desktop services consolidation on two levels: . Remote access to physical and virtual devices o Definition of configuration variables at system level UDS Enterprise is ideal for managing workstations o Definition of independent module because, among other functions, it allows you to configuration variables perform the following tasks: . Virtual desktop cache system in two levels for fast connection . Manage the life cycle of the endpoint . Administer and manage Windows and Linux . Management of unlimited services (Microsoft virtual desktops, virtualized applications and Hyper-V, Microsoft Azure, VMware vSphere, IP services deployed on different platforms Nutanix Acropolis, OpenNebula, OpenStack, from a single console Proxmox, oVirt, Terminal Server…) . Connect users and user groups of different . Unlimited user and device authentication authentication systems at the same time with systems (AD, Microsoft Azure Active virtual desktops and different IP services Directory, eDirectory, LDAP, SAML, internal . Connect users with remote desktop services by enabling one or more connection authentication system, authentication by IP) protocols at the same time . Log visualization system and system . Define policies for the use of deployed virtual statistics desktops or other resources . Deployment of virtual desktops in multiple . Deploy template-based virtual desktops hypervisors at the same time and managed .