Kernel-Based Virtual Machine
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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. -
QEMU Parameter Jungle Slides
Finding your way through the QEMU parameter jungle 2018-02-04 Thomas Huth <[email protected]> Legal ● Disclaimer: Opinions are my own and not necessarily the views of my employer ● “Jungle Leaves” background license: CC BY 3.0 US : https://creativecommons.org/licenses/by/3.0/us/ Image has been modified from the original at: https://www.freevector.com/jungle-leaves-vector-background 2 Introduction 3 Why a guide through the QEMU parameter jungle? 4 Why a guide through the QEMU parameter jungle? ● QEMU is a big project, supports lots of emulated devices, and lots of host backends ● 15 years of development → a lot of legacy ● $ qemu-system-i386 -h | wc -l 454 ● People regularly ask about CLI problems on mailing lists or in the IRC channels → Use libvirt, virt-manager, etc. if you just want an easier way to run a VM 5 General Know-How ● QEMU does not distinguish single-dash options from double-dash options: -h = --h = -help = --help ● QEMU starts with a set of default devices, e.g. a NIC and a VGA card. If you don't want this: --nodefaults or suppress certain default devices: --vga none --net none 6 Getting help about the options ● Parameter overview: -h or --help (of course) ● Many parameters provide info with “help”: --accel help ● Especially, use this to list available devices: --device help ● To list parameters of a device: --device e1000,help ● To list parameters of a machine: --machine q35,help 7 e1000 example ● $ qemu-system-x86_64 --device e1000,help [...] e1000.addr=int32 (PCI slot and function¼) e1000.x-pcie-extcap-init=bool (on/off) e1000.extra_mac_registers=bool (on/off) e1000.mac=str (Ethernet 6-byte MAC Address¼) e1000.netdev=str (ID of a netdev backend) ● $ qemu-system-x86_64 --device \ e1000,mac=52:54:00:12:34:56,addr=06.0 8 General Know How: Guest and Host There are always two parts of an emulated device: ● Emulated guest hardware, e.g.: --device e1000 ● The backend in the host, e.g.: --netdev tap Make sure to use right set of parameters for configuration! 9 “Classes” of QEMU parameters ● Convenience : Easy to use, but often limited scope. -
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. -
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. -
Vmware Fusion 12 Vmware Fusion Pro 12 Using Vmware Fusion
Using VMware Fusion 8 SEP 2020 VMware Fusion 12 VMware Fusion Pro 12 Using VMware Fusion You can find the most up-to-date technical documentation on the VMware website at: https://docs.vmware.com/ VMware, Inc. 3401 Hillview Ave. Palo Alto, CA 94304 www.vmware.com © Copyright 2020 VMware, Inc. All rights reserved. Copyright and trademark information. VMware, Inc. 2 Contents Using VMware Fusion 9 1 Getting Started with Fusion 10 About VMware Fusion 10 About VMware Fusion Pro 11 System Requirements for Fusion 11 Install Fusion 12 Start Fusion 13 How-To Videos 13 Take Advantage of Fusion Online Resources 13 2 Understanding Fusion 15 Virtual Machines and What Fusion Can Do 15 What Is a Virtual Machine? 15 Fusion Capabilities 16 Supported Guest Operating Systems 16 Virtual Hardware Specifications 16 Navigating and Taking Action by Using the Fusion Interface 21 VMware Fusion Toolbar 21 Use the Fusion Toolbar to Access the Virtual-Machine Path 21 Default File Location of a Virtual Machine 22 Change the File Location of a Virtual Machine 22 Perform Actions on Your Virtual Machines from the Virtual Machine Library Window 23 Using the Home Pane to Create a Virtual Machine or Obtain One from Another Source 24 Using the Fusion Applications Menus 25 Using Different Views in the Fusion Interface 29 Resize the Virtual Machine Display to Fit 35 Using Multiple Displays 35 3 Configuring Fusion 37 Setting Fusion Preferences 37 Set General Preferences 37 Select a Keyboard and Mouse Profile 38 Set Key Mappings on the Keyboard and Mouse Preferences Pane 39 Set Mouse Shortcuts on the Keyboard and Mouse Preference Pane 40 Enable or Disable Mac Host Shortcuts on the Keyboard and Mouse Preference Pane 40 Enable Fusion Shortcuts on the Keyboard and Mouse Preference Pane 41 Set Fusion Display Resolution Preferences 41 VMware, Inc. -
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. -
Introduction to Virtualization
z Systems Introduction to Virtualization SHARE Orlando Linux and VM Program Romney White, IBM [email protected] z Systems Architecture and Technology © 2015 IBM Corporation Agenda ° Introduction to Virtualization – Concept – Server Virtualization Approaches – Hypervisor Implementation Methods – Why Virtualization Matters ° Virtualization on z Systems – Logical Partitions – Virtual Machines 2 z Systems Virtualization Technology © 2015 IBM Corporation Virtualization Concept Virtual Resources Proxies for real resources: same interfaces/functions, different attributes May be part of a physical resource or multiple physical resources Virtualization Creates virtual resources and "maps" them to real resources Primarily accomplished with software or firmware Resources Components with architecturally-defined interfaces/functions May be centralized or distributed - usually physical Examples: memory, disk drives, networks, servers Separates presentation of resources to users from actual resources Aggregates pools of resources for allocation to users as virtual resources 3 z Systems Virtualization Technology © 2015 IBM Corporation Server Virtualization Approaches Hardware Partitioning Bare-metal Hypervisor Hosted Hypervisor Apps ... Apps Apps ... Apps Apps ... Apps OS OS OS OS OS OS Adjustable partitions Hypervisor Hypervisor Partition Controller Host OS SMP Server SMP Server SMP Server Server is subdivided into fractions Hypervisor provides fine-grained Hypervisor uses OS services to each of which can run an OS timesharing of all resources -
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. -
Performance Analysis of Selected Hypervisors (Virtual Machine Monitors - Vmms) Waldemar Graniszewski, Adam Arciszewski
INTL JOURNAL OF ELECTRONICS AND TELECOMMUNICATIONS, 2016, VOL. 62, NO. 3, PP. 231–236 Manuscript received August 12, 2016; revised September, 2016. DOI: 10.1515/eletel-2016-0031 Performance analysis of selected hypervisors (Virtual Machine Monitors - VMMs) Waldemar Graniszewski, Adam Arciszewski Abstract—Virtualization of operating systems and network results for CPU, NIC, kernel compilation time and storage infrastructure plays an important role in current IT projects. benchmarks’ tests are presented in Section IV. Finally, in With the number of services running on different hardware Section V, we draw some conclusions. resources it is easy to provide availability, security and efficiency using virtualizers. All virtualization vendors claim that their hypervisor (virtual machine monitor - VMM) is better than their II. BACKGROUND AND RELATED WORK competitors. In this paper we evaluate performance of different In this section we present some general background for solutions: proprietary software products (Hyper-V, ESXi, OVM, VirtualBox), and open source (Xen). We are using standard virtualisation technology (in Subsection II-A) and a short benchmark tools to compare efficiency of main hardware com- review of related work (in Subsection II-B). ponents, i.e. CPU (nbench), NIC (netperf), storage (Filebench), memory (ramspeed). Results of each tests are presented. A. Background Keywords—virtualisation, virtualmachines, benchmark, per- As mentioned earlier, in Section I, cloud computing and formance, hypervisor, virtual machine monitor, vmm services provided by data centers require robust software for their operation. With data center server consolidation, the I. INTRODUCTION portability of each solution plays an important role. In the N recent years the most popular IT projects have been last decade both proprietary software like VMware ESXi, Mi- I based on cloud computing. -
Proceedings of the Linux Symposium
Proceedings of the Linux Symposium Volume One June 27th–30th, 2007 Ottawa, Ontario Canada Contents The Price of Safety: Evaluating IOMMU Performance 9 Ben-Yehuda, Xenidis, Mostrows, Rister, Bruemmer, Van Doorn Linux on Cell Broadband Engine status update 21 Arnd Bergmann Linux Kernel Debugging on Google-sized clusters 29 M. Bligh, M. Desnoyers, & R. Schultz Ltrace Internals 41 Rodrigo Rubira Branco Evaluating effects of cache memory compression on embedded systems 53 Anderson Briglia, Allan Bezerra, Leonid Moiseichuk, & Nitin Gupta ACPI in Linux – Myths vs. Reality 65 Len Brown Cool Hand Linux – Handheld Thermal Extensions 75 Len Brown Asynchronous System Calls 81 Zach Brown Frysk 1, Kernel 0? 87 Andrew Cagney Keeping Kernel Performance from Regressions 93 T. Chen, L. Ananiev, and A. Tikhonov Breaking the Chains—Using LinuxBIOS to Liberate Embedded x86 Processors 103 J. Crouse, M. Jones, & R. Minnich GANESHA, a multi-usage with large cache NFSv4 server 113 P. Deniel, T. Leibovici, & J.-C. Lafoucrière Why Virtualization Fragmentation Sucks 125 Justin M. Forbes A New Network File System is Born: Comparison of SMB2, CIFS, and NFS 131 Steven French Supporting the Allocation of Large Contiguous Regions of Memory 141 Mel Gorman Kernel Scalability—Expanding the Horizon Beyond Fine Grain Locks 153 Corey Gough, Suresh Siddha, & Ken Chen Kdump: Smarter, Easier, Trustier 167 Vivek Goyal Using KVM to run Xen guests without Xen 179 R.A. Harper, A.N. Aliguori & M.D. Day Djprobe—Kernel probing with the smallest overhead 189 M. Hiramatsu and S. Oshima Desktop integration of Bluetooth 201 Marcel Holtmann How virtualization makes power management different 205 Yu Ke Ptrace, Utrace, Uprobes: Lightweight, Dynamic Tracing of User Apps 215 J.