An Openstack Integration Method with Linux Containers a Short Paper of a New Approach for Creating Openstack-Based Test Enviroment Without Nested KVM
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Security Assurance Requirements for Linux Application Container Deployments
NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 NISTIR 8176 Security Assurance Requirements for Linux Application Container Deployments Ramaswamy Chandramouli Computer Security Division Information Technology Laboratory This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 October 2017 U.S. Department of Commerce Wilbur L. Ross, Jr., Secretary National Institute of Standards and Technology Walter Copan, NIST Director and Under Secretary of Commerce for Standards and Technology NISTIR 8176 SECURITY ASSURANCE FOR LINUX CONTAINERS National Institute of Standards and Technology Internal Report 8176 37 pages (October 2017) This publication is available free of charge from: https://doi.org/10.6028/NIST.IR.8176 Certain commercial entities, equipment, or materials may be identified in this document in order to describe an experimental procedure or concept adequately. Such identification is not intended to imply recommendation or endorsement by NIST, nor is it intended to imply that the entities, materials, or equipment are necessarily the best available for the purpose. This p There may be references in this publication to other publications currently under development by NIST in accordance with its assigned statutory responsibilities. The information in this publication, including concepts and methodologies, may be used by federal agencies even before the completion of such companion publications. Thus, until each ublication is available free of charge from: http publication is completed, current requirements, guidelines, and procedures, where they exist, remain operative. For planning and transition purposes, federal agencies may wish to closely follow the development of these new publications by NIST. -
Hypervisors Vs. Lightweight Virtualization: a Performance Comparison
2015 IEEE International Conference on Cloud Engineering Hypervisors vs. Lightweight Virtualization: a Performance Comparison Roberto Morabito, Jimmy Kjällman, and Miika Komu Ericsson Research, NomadicLab Jorvas, Finland [email protected], [email protected], [email protected] Abstract — Virtualization of operating systems provides a container and alternative solutions. The idea is to quantify the common way to run different services in the cloud. Recently, the level of overhead introduced by these platforms and the lightweight virtualization technologies claim to offer superior existing gap compared to a non-virtualized environment. performance. In this paper, we present a detailed performance The remainder of this paper is structured as follows: in comparison of traditional hypervisor based virtualization and Section II, literature review and a brief description of all the new lightweight solutions. In our measurements, we use several technologies and platforms evaluated is provided. The benchmarks tools in order to understand the strengths, methodology used to realize our performance comparison is weaknesses, and anomalies introduced by these different platforms in terms of processing, storage, memory and network. introduced in Section III. The benchmark results are presented Our results show that containers achieve generally better in Section IV. Finally, some concluding remarks and future performance when compared with traditional virtual machines work are provided in Section V. and other recent solutions. Albeit containers offer clearly more dense deployment of virtual machines, the performance II. BACKGROUND AND RELATED WORK difference with other technologies is in many cases relatively small. In this section, we provide an overview of the different technologies included in the performance comparison. -
Seminar HPC Trends Winter Term 2017/2018 New Operating System Concepts for High Performance Computing
Seminar HPC Trends Winter Term 2017/2018 New Operating System Concepts for High Performance Computing Fabian Dreer Ludwig-Maximilians Universit¨atM¨unchen [email protected] January 2018 Abstract 1 The Impact of System Noise When using a traditional operating system kernel When running large-scale applications on clusters, in high performance computing applications, the the noise generated by the operating system can cache and interrupt system are under heavy load by greatly impact the overall performance. In order to e.g. system services for housekeeping tasks which is minimize overhead, new concepts for HPC OSs are also referred to as noise. The performance of the needed as a response to increasing complexity while application is notably reduced by this noise. still considering existing API compatibility. Even small delays from cache misses or interrupts can affect the overall performance of a large scale In this paper we study the design concepts of het- application. So called jitter even influences collec- erogeneous kernels using the example of mOS and tive communication regarding the synchronization, the approach of library operating systems by ex- which can either absorb or propagate the noise. ploring the architecture of Exokernel. We sum- Even though asynchronous communication has a marize architectural decisions, present a similar much higher probability to absorb the noise, it is project in each case, Interface for Heterogeneous not completely unaffected. Collective operations Kernels and Unikernels respectively, and show suffer the most from propagation of jitter especially benchmark results where possible. when implemented linearly. But it is hard to anal- yse noise and its propagation for collective oper- ations even for simple algorithms. -
Systemd As a Container Manager
systemd as a Container Manager Seth Jennings [email protected] Texas Linux Fest 2015 8/21/2015 Agenda ● Very quick overview of systemd ● What is a Linux Container ● systemd as a Container Manager ● Live Demo! Because I like to punish myself! Disclaimer What is systemd? ● systemd is a suite of system management daemons, libraries, and utilities designed as a central management and configuration platform for the Linux operating system. How Big Is This “Suite” ● systemd - init process, pid 1 ● journald ● logind ● udevd ● hostnamed ● machined ● importd ● networkd ● resolved ● localed ● timedated ● timesyncd ● and more! Don't Leave! ● No deep dive on all of these ● Focus on using systemd for container management – Spoiler alert: many of the systemd commands you already use work on containers managed by systemd too! What is a Linux Container ● What it is not – Magic ● conjured only from the mystical language of Go – Virtualization (hardware emulation) – A completely new concept never before conceived of by man since time began – An image format – An image distribution mechanism – Only usable by modular (microservice) applications at scale What is a Linux Container ● A resource-constrained, namespaced environment, initialized by a container manager and enforced by the kernel, where processes can run – kernel cgroups limits hardware resources ● cpus, memory, i/o ● special cgroup filesystem /sys/fs/cgroup – kernel namespacing limits resource visibility ● mount, PID, user, network, UTS, IPC ● syscalls clone(), setns(), unshare() What is a Linux Container ● The set of processes in the container is rooted in a process that has pid 1 inside the pid namespace of the container ● The filesystem inside the container can be as complex as a docker image or as simple as a subdirectory on the host (think chroot). -
The Linux Device File-System
The Linux Device File-System Richard Gooch EMC Corporation [email protected] Abstract 1 Introduction All Unix systems provide access to hardware via de- vice drivers. These drivers need to provide entry points for user-space applications and system tools to access the hardware. Following the \everything is a file” philosophy of Unix, these entry points are ex- posed in the file name-space, and are called \device The Device File-System (devfs) provides a power- special files” or \device nodes". ful new device management mechanism for Linux. Unlike other existing and proposed device manage- This paper discusses how these device nodes are cre- ment schemes, it is powerful, flexible, scalable and ated and managed in conventional Unix systems and efficient. the limitations this scheme imposes. An alternative mechanism is then presented. It is an alternative to conventional disc-based char- acter and block special devices. Kernel device drivers can register devices by name rather than de- vice numbers, and these device entries will appear in the file-system automatically. 1.1 Device numbers Devfs provides an immediate benefit to system ad- ministrators, as it implements a device naming scheme which is more convenient for large systems Conventional Unix systems have the concept of a (providing a topology-based name-space) and small \device number". Each instance of a driver and systems (via a device-class based name-space) alike. hardware component is assigned a unique device number. Within the kernel, this device number is Device driver authors can benefit from devfs by used to refer to the hardware and driver instance. -
Resource Management: Linux Kernel Namespaces and Cgroups
Resource management: Linux kernel Namespaces and cgroups Rami Rosen [email protected] Haifux, May 2013 www.haifux.org 1/121 http://ramirose.wix.com/ramirosen TOC Network Namespace PID namespaces UTS namespace Mount namespace user namespaces cgroups Mounting cgroups links Note: All code examples are from for_3_10 branch of cgroup git tree (3.9.0-rc1, April 2013) 2/121 http://ramirose.wix.com/ramirosen General The presentation deals with two Linux process resource management solutions: namespaces and cgroups. We will look at: ● Kernel Implementation details. ●what was added/changed in brief. ● User space interface. ● Some working examples. ● Usage of namespaces and cgroups in other projects. ● Is process virtualization indeed lightweight comparing to Os virtualization ? ●Comparing to VMWare/qemu/scaleMP or even to Xen/KVM. 3/121 http://ramirose.wix.com/ramirosen Namespaces ● Namespaces - lightweight process virtualization. – Isolation: Enable a process (or several processes) to have different views of the system than other processes. – 1992: “The Use of Name Spaces in Plan 9” – http://www.cs.bell-labs.com/sys/doc/names.html ● Rob Pike et al, ACM SIGOPS European Workshop 1992. – Much like Zones in Solaris. – No hypervisor layer (as in OS virtualization like KVM, Xen) – Only one system call was added (setns()) – Used in Checkpoint/Restart ● Developers: Eric W. biederman, Pavel Emelyanov, Al Viro, Cyrill Gorcunov, more. – 4/121 http://ramirose.wix.com/ramirosen Namespaces - contd There are currently 6 namespaces: ● mnt (mount points, filesystems) ● pid (processes) ● net (network stack) ● ipc (System V IPC) ● uts (hostname) ● user (UIDs) 5/121 http://ramirose.wix.com/ramirosen Namespaces - contd It was intended that there will be 10 namespaces: the following 4 namespaces are not implemented (yet): ● security namespace ● security keys namespace ● device namespace ● time namespace. -
Container-Based Virtualization for Byte-Addressable NVM Data Storage
2016 IEEE International Conference on Big Data (Big Data) Container-Based Virtualization for Byte-Addressable NVM Data Storage Ellis R. Giles Rice University Houston, Texas [email protected] Abstract—Container based virtualization is rapidly growing Storage Class Memory, or SCM, is an exciting new in popularity for cloud deployments and applications as a memory technology with the potential of replacing hard virtualization alternative due to the ease of deployment cou- drives and SSDs as it offers high-speed, byte-addressable pled with high-performance. Emerging byte-addressable, non- volatile memories, commonly called Storage Class Memory or persistence on the main memory bus. Several technologies SCM, technologies are promising both byte-addressability and are currently under research and development, each with dif- persistence near DRAM speeds operating on the main memory ferent performance, durability, and capacity characteristics. bus. These new memory alternatives open up a new realm of These include a ReRAM by Micron and Sony, a slower, but applications that no longer have to rely on slow, block-based very large capacity Phase Change Memory or PCM by Mi- persistence, but can rather operate directly on persistent data using ordinary loads and stores through the cache hierarchy cron and others, and a fast, smaller spin-torque ST-MRAM coupled with transaction techniques. by Everspin. High-speed, byte-addressable persistence will However, SCM presents a new challenge for container-based give rise to new applications that no longer have to rely on applications, which typically access persistent data through slow, block based storage devices and to serialize data for layers of block based file isolation. -
Cielo Computational Environment Usage Model
Cielo Computational Environment Usage Model With Mappings to ACE Requirements for the General Availability User Environment Capabilities Release Version 1.1 Version 1.0: Bob Tomlinson, John Cerutti, Robert A. Ballance (Eds.) Version 1.1: Manuel Vigil, Jeffrey Johnson, Karen Haskell, Robert A. Ballance (Eds.) Prepared by the Alliance for Computing at Extreme Scale (ACES), a partnership of Los Alamos National Laboratory and Sandia National Laboratories. Approved for public release, unlimited dissemination LA-UR-12-24015 July 2012 Los Alamos National Laboratory Sandia National Laboratories Disclaimer Unless otherwise indicated, this information has been authored by an employee or employees of the Los Alamos National Security, LLC. (LANS), operator of the Los Alamos National Laboratory under Contract No. DE-AC52-06NA25396 with the U.S. Department of Energy. The U.S. Government has rights to use, reproduce, and distribute this information. The public may copy and use this information without charge, provided that this Notice and any statement of authorship are reproduced on all copies. Neither the Government nor LANS makes any warranty, express or implied, or assumes any liability or responsibility for the use of this information. Bob Tomlinson – Los Alamos National Laboratory John H. Cerutti – Los Alamos National Laboratory Robert A. Ballance – Sandia National Laboratories Karen H. Haskell – Sandia National Laboratories (Editors) Cray, LibSci, and PathScale are federally registered trademarks. Cray Apprentice2, Cray Apprentice2 Desktop, Cray C++ Compiling System, Cray Fortran Compiler, Cray Linux Environment, Cray SHMEM, Cray XE, Cray XE6, Cray XT, Cray XTm, Cray XT3, Cray XT4, Cray XT5, Cray XT5h, Cray XT5m, Cray XT6, Cray XT6m, CrayDoc, CrayPort, CRInform, Gemini, Libsci and UNICOS/lc are trademarks of Cray Inc. -
Ubuntu Server Guide Basic Installation Preparing to Install
Ubuntu Server Guide Welcome to the Ubuntu Server Guide! This site includes information on using Ubuntu Server for the latest LTS release, Ubuntu 20.04 LTS (Focal Fossa). For an offline version as well as versions for previous releases see below. Improving the Documentation If you find any errors or have suggestions for improvements to pages, please use the link at thebottomof each topic titled: “Help improve this document in the forum.” This link will take you to the Server Discourse forum for the specific page you are viewing. There you can share your comments or let us know aboutbugs with any page. PDFs and Previous Releases Below are links to the previous Ubuntu Server release server guides as well as an offline copy of the current version of this site: Ubuntu 20.04 LTS (Focal Fossa): PDF Ubuntu 18.04 LTS (Bionic Beaver): Web and PDF Ubuntu 16.04 LTS (Xenial Xerus): Web and PDF Support There are a couple of different ways that the Ubuntu Server edition is supported: commercial support and community support. The main commercial support (and development funding) is available from Canonical, Ltd. They supply reasonably- priced support contracts on a per desktop or per-server basis. For more information see the Ubuntu Advantage page. Community support is also provided by dedicated individuals and companies that wish to make Ubuntu the best distribution possible. Support is provided through multiple mailing lists, IRC channels, forums, blogs, wikis, etc. The large amount of information available can be overwhelming, but a good search engine query can usually provide an answer to your questions. -
Unprivileged GPU Containers on a LXD Cluster
Unprivileged GPU containers on a LXD cluster GPU-enabled system containers at scale Stéphane Graber Christian Brauner LXD project leader LXD maintainer @stgraber @brau_ner https://stgraber.org https://brauner.io [email protected] [email protected] What are system containers? They are the oldest type of containers 01 BSD jails, Linux vServer, Solaris Zones, OpenVZ, LXC and LXD. They behave like standalone systems 02 No need for specialized software or custom images. No virtualization overhead 03 They are containers after all. LXD System nova-lxd command line tool your own client/script ? container LXD REST API manager LXD LXD LXD LXD LXC LXC LXC LXC Linux kernel Linux kernel Linux kernel Linux kernel Host A Host B Host C Host ... What LXD is Simple 01 Clean command line interface, simple REST API and clear terminology. Fast 02 Image based, no virtualization, direct hardware access. Secure 03 Safe by default. Combines all available kernel security features. Scalable 04 From a single container on a laptop to tens of thousands of containers in a cluster. What LXD isn’t Another virtualization technology 01 LXD offers an experience very similar to a virtual machine. But it’s still containers, with no virtualization overhead and real hardware. A fork of LXC 02 LXD uses LXC’s API to manage the containers behind the scene. Another application container manager 03 LXD only cares about full system containers. You can run whatever you want inside a LXD container, including Docker. LXD Main Certificates components Cluster Containers Snapshots Backups Events Images Aliases Networks Operations Projects Storage pools Storage volumes Snapshots LXD clustering Built-in clustering support 01 No external dependencies, all LXD 3.0 or higher installations can be instantly turned into a cluster. -
Separating Protection and Management in Cloud Infrastructures
SEPARATING PROTECTION AND MANAGEMENT IN CLOUD INFRASTRUCTURES A Dissertation Presented to the Faculty of the Graduate School of Cornell University in Partial Fulfillment of the Requirements for the Degree of Doctor of Philosophy by Zhiming Shen December 2017 c 2017 Zhiming Shen ALL RIGHTS RESERVED SEPARATING PROTECTION AND MANAGEMENT IN CLOUD INFRASTRUCTURES Zhiming Shen, Ph.D. Cornell University 2017 Cloud computing infrastructures serving mutually untrusted users provide se- curity isolation to protect user computation and resources. Additionally, clouds should also support flexibility and efficiency, so that users can customize re- source management policies and optimize performance and resource utiliza- tion. However, flexibility and efficiency are typically limited due to security requirements. This dissertation investigates the question of how to offer flexi- bility and efficiency as well as strong security in cloud infrastructures. Specifically, this dissertation addresses two important platforms in cloud in- frastructures: the containers and the Infrastructure as a Service (IaaS) platforms. The containers platform supports efficient container provisioning and execut- ing, but does not provide sufficient security and flexibility. Different containers share an operating system kernel which has a large attack surface, and kernel customization is generally not allowed. The IaaS platform supports secure shar- ing of cloud resources among mutually untrusted users, but does not provide sufficient flexibility and efficiency. Many powerful management primitives en- abled by the underlying virtualization platform are hidden from users, such as live virtual machine migration and consolidation. The main contribution of this dissertation is the proposal of an approach in- spired by the exokernel architecture that can be generalized to any multi-tenant system to improve security, flexibility, and efficiency. -
Stepping Towards a Noiseless Linux Environment
ROSS 2012 | June 29 2012 | Venice, Italy STEPPING TOWARDS A NOISELESS LINUX ENVIRONMENT Hakan Akkan*, Michael Lang¶, Lorie Liebrock* Presented by: Abhishek Kulkarni¶ * New Mexico Tech ¶ Ultrascale Systems Research Center New Mexico Consortium Los Alamos National Laboratory 29 June 2012 Stepping Towards A Noiseless Linux Environment 2 Motivation • HPC applications are unnecessarily interrupted by the OS far too often • OS noise (or jitter) includes interruptions that increase an application’s time to solution • Asymmetric CPU roles (OS cores vs Application cores) • Spatio-temporal partitioning of resources (Tessellation) • LWK and HPC Oses improve performance at scale 29 June 2012 Stepping Towards A Noiseless Linux Environment 3 OS noise exacerbates at scale • OS noise can cause a significant slowdown of the app • Delays the superstep since synchronization must wait for the slowest process: max(wi) Image: The Case of the Missing Supercomputer Performance, Petrini et. Al, 2003 29 June 2012 Stepping Towards A Noiseless Linux Environment 4 Noise co-scheduling • Co-scheduling the noise across the machine so all processes pay the price at the same time Image: The Case of the Missing Supercomputer Performance, Petrini et. Al, 2003 29 June 2012 Stepping Towards A Noiseless Linux Environment 5 Noise Resonance • Low frequency, Long duration noise • System services, daemons • Can be moved to separate cores • High frequency, Short duration noise • OS clock ticks • Not as easy to synchronize - usually much more frequent and shorter than the computation granularity of the application • Previous research • Tsafrir, Brightwell, Ferreira, Beckman, Hoefler • Indirect overhead is generally not acknowledged • Cache and TLB pollution • Other scalability issues: locking during ticks 29 June 2012 Stepping Towards A Noiseless Linux Environment 6 Some applications are memory and network bandwidth limited! *Sancho, et.