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The Next Generation Cloud: the Rise of the Unikernel
The Next Generation Cloud: The Rise of the Unikernel A Xen Project publication April 2015 xenproject.org Docker and Linux container technologies dominate headlines today as a powerful, easy way to package applications, especially as cloud computing becomes more mainstream. While still a work-in-progress, they offer a simple, clean and lean way to distribute application workloads. With enthusiasm continuing to grow for container innovations, a related technology called unikernels is also beginning to attract attention. Known also for their ability to cleanly separate functionality at the component level, unikernels are developing a variety of new approaches to deploy cloud services. Traditional operating systems run multiple applications on a single machine, managing resources and isolating applications from one another. A unikernel runs a single application on a single virtual machine, relying instead on the hypervisor to isolate those virtual machines. Unikernels are constructed by using “library operating systems,” from which the developer selects only the minimal set of services required for an application to run. These sealed, fixed-purpose images run directly on a hypervisor without an intervening guest OS such as Linux. As well as improving upon container technologies, unikernels are also able to deliver impressive flexibility, speed and versatility for cross-platform environments, big data analytics and scale-out cloud computing. Like container-based solutions, this technology fulfills the promise of easy deployment, but unikernels also offer an extremely tiny, specialized runtime footprint that is much less vulnerable to attack. There are several up-and-coming open source projects to watch this year, including ClickOS, Clive, HaLVM, LING, MirageOS, Rump Kernels and OSv among others, with each of them placing emphasis on a different aspect of the unikernel approach. -
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. -
Distributing an SQL Query Over a Cluster of Containers
2019 IEEE 12th International Conference on Cloud Computing (CLOUD) Distributing an SQL Query Over a Cluster of Containers David Holland∗ and Weining Zhang† Department of Computer Science, University of Texas at San Antonio Email: ∗[email protected], †[email protected] Abstract—Emergent software container technology is now across a cluster of containers in a cloud. A feasibility study available on any cloud and opens up new opportunities to execute of this with performance analysis is reported in this paper. and scale data intensive applications wherever data is located. A containerized query (henceforth CQ) uses a deployment However, many traditional relational databases hosted on clouds have not scaled well. In this paper, a framework and deployment methodology that is unique to each query with respect to the methodology to containerize relational SQL queries is presented, number of containers and their networked topology effecting so that, a single SQL query can be scaled and executed by data flows. Furthermore a CQ can be scaled at run-time a network of cooperating containers, achieving intra-operator by adding more intra-operators. In contrast, the traditional parallelism and other significant performance gains. Results of distributed database query deployment configurations do not container prototype experiments are reported and compared to a real-world RDBMS baseline. Preliminary result on a research change at run-time, i.e., they are static and applied to all cloud shows up to 3-orders of magnitude performance gain for queries. Additionally, traditional distributed databases often some queries when compared to running the same query on a need to rewrite an SQL query to optimize performance. -
Static Vulnerability Analysis of Docker Images
DEGREE PROJECT FOR MASTER OF SCIENCE IN ENGINEERING COMPUTER SECURITY Static Vulnerability Analysis of Docker Images Michael Falk | Oscar Henriksson Blekinge Institute of Technology, Karlskrona, Sweden, 2017 Supervisor: Emiliano Casalicchio, Department of Computer Science and Engineering, BTH Abstract Docker is a popular tool for virtualization that allows for fast and easy deployment of applications and has been growing increasingly popular among companies. Docker also include a large library of images from the repository Docker Hub which mainly is user created and uncontrolled. This leads to low frequency of updates which results in vulnerabilities in the images. In this thesis we are developing a tool for determining what vulnerabilities that exists inside Docker images with a Linux distribution. This is done by using our own tool for downloading and retrieving the necessary data from the images and then utilizing Outpost24’s scanner for finding vulnerabilities in Linux packages. With the help of this tool we also publish statistics of vulnerabilities from the top downloaded images of Docker Hub. The result is a tool that can successfully scan a Docker image for vulnerabilities in certain Linux distributions. From a survey over the top 1000 Docker images it has also been shown that the amount of vulnerabilities have increased in comparison to earlier surveys of Docker images. Keywords: Docker, Containerization, Vulnerability analysis, Vulnerability scanning i Sammanfattning Docker är ett populärt verktyg för virtualisering som används för att snabbt och enkelt sätta upp applikationer och har vuxit sig populärt bland företag. Docker inkluderar även ett stort bibliotek av images från datakatalogen Docker Hub vilket huvudsakligen består av användarskapat och okontrollerat innehåll. -
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. -
A Linux in Unikernel Clothing Lupine
A Linux in Unikernel Clothing Hsuan-Chi Kuo+, Dan Williams*, Ricardo Koller* and Sibin Mohan+ +University of Illinois at Urbana-Champaign *IBM Research Lupine Unikernels are great BUT: Unikernels lack full Linux Support App ● Hermitux: supports only 97 system calls Kernel LibOS + App ● OSv: ○ Fork() , execve() are not supported Hypervisor Hypervisor ○ Special files are not supported such as /proc ○ Signal mechanism is not complete ● Small kernel size ● Rumprun: only 37 curated applications ● Heavy ● Fast boot time ● Community is too small to keep it rolling ● Inefficient ● Improved performance ● Better security 2 Can Linux behave like a unikernel? 3 Lupine Linux 4 Lupine Linux ● Kernel mode Linux (KML) ○ Enables normal user process to run in kernel mode ○ Processes can still use system services such as paging and scheduling ○ App calls kernel routines directly without privilege transition costs ● Minimal patch to libc ○ Replace syscall instruction to call ○ The address of the called function is exported by the patched KML kernel using the vsyscall ○ No application changes/recompilation required 5 Boot time Evaluation Metrics Image size Based on: Unikernel benefits Memory footprint Application performance Syscall overhead 6 Configuration diversity ● 20 top apps on Docker hub (83% of all downloads) ● Only 19 configuration options required to run all 20 applications: lupine-general 7 Evaluation - Comparison configurations Lupine Cloud Operating Systems [Lupine-base + app-specific options] OSv general Linux-based Unikernels Kernel for 20 apps -
Governance in Collaborative Open Source Software Development Organizations: a Comparative Analysis of Two Case Studies
Governance in Collaborative Open Source Software Development Organizations: A Comparative Analysis of two Case Studies Master’s thesis Faculty of Business, Economics and Social Sciences University of Bern submitted to Dr. Matthias Stürmer Research Center for Digital Sustainability Institute of Information Systems by Winkelmann, Rahel from Siselen 11th semester Matriculation nr.: 09-127-788 Study address: Huberstrasse 22 3008 Bern (Tel. 078 758 58 96) (e-Mail: [email protected]) Bern, 20.01.2015 Abstract While loose cooperation among several actors is common in the open source sector, companies merging into a professionally governed collaborative open source software development organization across industries is an emerging phenomenon. The purpose of this thesis is to shed light on this new approach of software development by creating a framework for building a collaborative open source software development organization. A comparative analysis examines the governance models of two different collaborative open source software development organizations from the organizational, financial and legal perspective and reveals the autonomous and the affiliated organization type and their key characteristics. Based on these findings and by means of four expert interviews a framework consisting of eight criteria that need to be considered in order to build a collaborative open source software development organization is created. Zusammenfassung In der Open Source Branche ist es gängig, dass sich verschiedene Akteure zur Softwareentwicklung zu losen Konsortien zusammenschliessen. Unternehmen, welche sich im professionellen Rahmen zu einer Organisation zusammenschliessen um gemeinsam Open Source Software zu entwickeln, sind jedoch ein neues Phänomen. Der Zweck dieser Arbeit ist es Aufschluss über diesen neuen Ansatz von Softwareentwicklung zu geben. -
Red Hat Enterprise Virtualization 3.0 Live Chat Transcript Sponsored by Red Hat
Red Hat Enterprise Virtualization 3.0 Live Chat Transcript Sponsored by Red Hat Speakers: Chuck Dubuque, Senior Product Marketing Manager, Red Hat Andy Cathrow, Product Manager, Red Hat Red Hat Virtualization Live Chat Transcript 2.23.12 Joe:Hi Everyone, thanks for joining the Red Hat Live Chat. Joe:Today we have Chuck Dubuque & Andrew Cathrow with the Red Hat Virtualization team available LIVE to answer your questions. Joe:Speaker Bios:Chuck Dubuque is the Senior Product Marketing Manager for Red Hat Enterprise Virtualization and is responsible for market analysis, program strategy, and channel support. Prior to joining Red Hat, he worked for three years at a mid-sized VAR (value-added reseller) where he experienced both the marketing and engineering of enterprise hardware and software, including Red Hat Enterprise Linux, VMware, Microsoft Windows Server, NetApp, IBM, Cisco, and Dell. Earlier in his career, Dubuque spent eight years in the biotechnology space in marketing and business development. He earned an MBA from Stanford Graduate School of Business and a bachelor's degree from Dartmouth College. Andrew Cathrow serves as Product Manager at Red Hat, where he is responsible for Red Hat's virtualization products. He has also managed Red Hat's sales engineers. Prior to joining Red Hat in 2006, Cathrow worked in product management for a configuration company, and also for a software company that developed middleware and messaging mainframe and midrange systems. Earlier in his career, Cathrow held various positions at IBM Global Services. Joe:Please feel free to start asking questions now Chuck:Thanks Joe. First I'd like to remind everyone that Red Hat launched RHEV 3.0 on January 18, and out launch event is now available on-demand at http://bit.ly/rhev3event. -
A Comprehensive Overview Last Updated: January
Project ACRN: A Comprehensive Overview Last updated: January 19, 2021 Content ❖ Introduction ❖ Architecture ❖ Value Proposition ❖ Key Capabilities ❖ Scenarios Introduction ACRN™ is a flexible, lightweight reference hypervisor, built with real-time and safety-criticality in mind, optimized to streamline embedded development through an open source platform. - A Linux Foundation Project Launched in March 2018 - Version 1.0 released in May 2019 - Version 2.0 released in June 2020 Overallarchitecture ACRN is a registered trademark of the Linux Foundation. *Other names and brands may be claimed as the property of others. Value Proposition - ACRN Small Footprint • Optimized for resource-constrained devices • Small codebase: less than 40,000 vs. >156,000 lines of code for datacenter-centric hypervisors Functional Safety & Hard Real-time • Heterogeneous Workloads Consolidation • Supports also the most demanding workloads: safety-critical and real- time Open-source with Flexible License • Permissive BSD license enables proprietary Guest OS • Business-friendly to adopt, modify and integrate • True open source with a vibrant Community ACRN reduces system deployment complexity, enables heterogeneous architectures, and provide TCO advantages Key Capabilities Functional Safety Hard Real-time MISRA-C Compliance Support hard or soft RT VM FuSa certification targeted Optimized for RT, e.g. no VMExit*, cache isolation Security & Isolation Rich I/O Mediation Full isolation for mixed criticality workloads Graphics, Audio, USB… Intel VT backed isolation Industry -