L4 Microkernels: the Lessons from 20 Years of Research and Deployment
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Demystifying the Real-Time Linux Scheduling Latency
Demystifying the Real-Time Linux Scheduling Latency Daniel Bristot de Oliveira Red Hat, Italy [email protected] Daniel Casini Scuola Superiore Sant’Anna, Italy [email protected] Rômulo Silva de Oliveira Universidade Federal de Santa Catarina, Brazil [email protected] Tommaso Cucinotta Scuola Superiore Sant’Anna, Italy [email protected] Abstract Linux has become a viable operating system for many real-time workloads. However, the black-box approach adopted by cyclictest, the tool used to evaluate the main real-time metric of the kernel, the scheduling latency, along with the absence of a theoretically-sound description of the in-kernel behavior, sheds some doubts about Linux meriting the real-time adjective. Aiming at clarifying the PREEMPT_RT Linux scheduling latency, this paper leverages the Thread Synchronization Model of Linux to derive a set of properties and rules defining the Linux kernel behavior from a scheduling perspective. These rules are then leveraged to derive a sound bound to the scheduling latency, considering all the sources of delays occurring in all possible sequences of synchronization events in the kernel. This paper also presents a tracing method, efficient in time and memory overheads, to observe the kernel events needed to define the variables used in the analysis. This results in an easy-to-use tool for deriving reliable scheduling latency bounds that can be used in practice. Finally, an experimental analysis compares the cyclictest and the proposed tool, showing that the proposed method can find sound bounds faster with acceptable overheads. 2012 ACM Subject Classification Computer systems organization → Real-time operating systems Keywords and phrases Real-time operating systems, Linux kernel, PREEMPT_RT, Scheduling latency Digital Object Identifier 10.4230/LIPIcs.ECRTS.2020.9 Supplementary Material ECRTS 2020 Artifact Evaluation approved artifact available at https://doi.org/10.4230/DARTS.6.1.3. -
Real-Time, Safe and Certified OS
Real-Time, Safe and Certified OS Roman Kapl <[email protected]> drivers, customer projects, development Tomas Martinec <[email protected]> testing and certification © SYSGO AG · INTERNAL 1 Introduction • PikeOS – real-time, safety certified OS • Desktop and Server vs. • Embedded • Real-Time • Safety-Critical • Certified • Differences • Scheduling • Resource management • Features • Development © SYSGO AG · INTERNAL 2 Certification • Testing • Analysis • Lot of time • Even more paper • Required for safety-critical systems • Trains • Airplanes © SYSGO AG · INTERNAL 3 PikeOS • Embedded, real-time, certified OS • ~150 people (not just engineers) • Rail • Avionics • Space • This presentation is not about PikeOS specifically © SYSGO AG · INTERNAL 4 PikeOS technical • Microkernel • Inspired by L4 • Memory protection (MMU) • More complex than FreeRTOS • Virtualization hypervisor • X86, ARM, SPARC, PowerPC • Eclipse IDE for development © SYSGO AG · INTERNAL 5 Personalities • General • POSIX • Linux • Domain specific • ARINC653 • PikeOS native • Other • Ada, RT JAVA, AUTOSAR, ITRON, RTEMS © SYSGO AG · INTERNAL 6 PikeOS Architecture App. App. App. App. App. App. Volume Syste m Provider Partition PikeOS Para-Virtualized HW Virtualized File System (Native, POSIX, Guest OS PikeOS Native ARINC653, ...) Guest OS Linux, Android Linux, Android Device Driver User Space / Partitions Syste m PikeOS System Software ExtensionSyste m Extension PikeOS Microkernel Kernel Space / Hypervisor Architecture Platform Kernel Level Support Package Support Package Driver SoC / -
Interrupt Handling in Linux
Department Informatik Technical Reports / ISSN 2191-5008 Valentin Rothberg Interrupt Handling in Linux Technical Report CS-2015-07 November 2015 Please cite as: Valentin Rothberg, “Interrupt Handling in Linux,” Friedrich-Alexander-Universitat¨ Erlangen-Nurnberg,¨ Dept. of Computer Science, Technical Reports, CS-2015-07, November 2015. Friedrich-Alexander-Universitat¨ Erlangen-Nurnberg¨ Department Informatik Martensstr. 3 · 91058 Erlangen · Germany www.cs.fau.de Interrupt Handling in Linux Valentin Rothberg Distributed Systems and Operating Systems Dept. of Computer Science, University of Erlangen, Germany [email protected] November 8, 2015 An interrupt is an event that alters the sequence of instructions executed by a processor and requires immediate attention. When the processor receives an interrupt signal, it may temporarily switch control to an inter- rupt service routine (ISR) and the suspended process (i.e., the previously running program) will be resumed as soon as the interrupt is being served. The generic term interrupt is oftentimes used synonymously for two terms, interrupts and exceptions [2]. An exception is a synchronous event that occurs when the processor detects an error condition while executing an instruction. Such an error condition may be a devision by zero, a page fault, a protection violation, etc. An interrupt, on the other hand, is an asynchronous event that occurs at random times during execution of a pro- gram in response to a signal from hardware. A proper and timely handling of interrupts is critical to the performance, but also to the security of a computer system. In general, interrupts can be emitted by hardware as well as by software. Software interrupts (e.g., via the INT n instruction of the x86 instruction set architecture (ISA) [5]) are means to change the execution context of a program to a more privileged interrupt context in order to enter the kernel and, in contrast to hardware interrupts, occur synchronously to the currently running program. -
Microkernel Mechanisms for Improving the Trustworthiness of Commodity Hardware
Microkernel Mechanisms for Improving the Trustworthiness of Commodity Hardware Yanyan Shen Submitted in fulfilment of the requirements for the degree of Doctor of Philosophy School of Computer Science and Engineering Faculty of Engineering March 2019 Thesis/Dissertation Sheet Surname/Family Name : Shen Given Name/s : Yanyan Abbreviation for degree as give in the University calendar : PhD Faculty : Faculty of Engineering School : School of Computer Science and Engineering Microkernel Mechanisms for Improving the Trustworthiness of Commodity Thesis Title : Hardware Abstract 350 words maximum: (PLEASE TYPE) The thesis presents microkernel-based software-implemented mechanisms for improving the trustworthiness of computer systems based on commercial off-the-shelf (COTS) hardware that can malfunction when the hardware is impacted by transient hardware faults. The hardware anomalies, if undetected, can cause data corruptions, system crashes, and security vulnerabilities, significantly undermining system dependability. Specifically, we adopt the single event upset (SEU) fault model and address transient CPU or memory faults. We take advantage of the functional correctness and isolation guarantee provided by the formally verified seL4 microkernel and hardware redundancy provided by multicore processors, design the redundant co-execution (RCoE) architecture that replicates a whole software system (including the microkernel) onto different CPU cores, and implement two variants, loosely-coupled redundant co-execution (LC-RCoE) and closely-coupled redundant co-execution (CC-RCoE), for the ARM and x86 architectures. RCoE treats each replica of the software system as a state machine and ensures that the replicas start from the same initial state, observe consistent inputs, perform equivalent state transitions, and thus produce consistent outputs during error-free executions. -
Sistemi Operativi Real-Time Marco Cesati Lezione R13 Sistemi Operativi Real-Time – II Schema Della Lezione
Sistemi operativi real-time Marco Cesati Lezione R13 Sistemi operativi real-time – II Schema della lezione Caratteristiche comuni VxWorks LynxOS Sistemi embedded e real-time QNX eCos Windows Linux come RTOS 15 gennaio 2013 Marco Cesati Dipartimento di Ingegneria Civile e Ingegneria Informatica Università degli Studi di Roma Tor Vergata SERT’13 R13.1 Sistemi operativi Di cosa parliamo in questa lezione? real-time Marco Cesati In questa lezione descriviamo brevemente alcuni dei più diffusi sistemi operativi real-time Schema della lezione Caratteristiche comuni VxWorks LynxOS 1 Caratteristiche comuni degli RTOS QNX 2 VxWorks eCos 3 LynxOS Windows Linux come RTOS 4 QNX Neutrino 5 eCos 6 Windows Embedded CE 7 Linux come RTOS SERT’13 R13.2 Sistemi operativi Caratteristiche comuni dei principali RTOS real-time Marco Cesati Corrispondenza agli standard: generalmente le API sono proprietarie, ma gli RTOS offrono anche compatibilità (compliancy) o conformità (conformancy) allo standard Real-Time POSIX Modularità e Scalabilità: il kernel ha una dimensione Schema della lezione Caratteristiche comuni (footprint) ridotta e le sue funzionalità sono configurabili VxWorks Dimensione del codice: spesso basati su microkernel LynxOS QNX Velocità e Efficienza: basso overhead per cambi di eCos contesto, latenza delle interruzioni e primitive di Windows sincronizzazione Linux come RTOS Porzioni di codice non interrompibile: generalmente molto corte e di durata predicibile Gestione delle interruzioni “separata”: interrupt handler corto e predicibile, ISR lunga -
Quantifying Security Impact of Operating-System Design
Copyright Notice School of Computer Science & Engineering COMP9242 Advanced Operating Systems These slides are distributed under the Creative Commons Attribution 3.0 License • You are free: • to share—to copy, distribute and transmit the work • to remix—to adapt the work • under the following conditions: 2019 T2 Week 09b • Attribution: You must attribute the work (but not in any way that Local OS Research suggests that the author endorses you or your use of the work) as @GernotHeiser follows: “Courtesy of Gernot Heiser, UNSW Sydney” The complete license text can be found at http://creativecommons.org/licenses/by/3.0/legalcode 1 COMP9242 2019T2 W09b: Local OS Research © Gernot Heiser 2019 – CC Attribution License Quantifying OS-Design Security Impact Approach: • Examine all critical Linux CVEs (vulnerabilities & exploits database) • easy to exploit 115 critical • high impact Linux CVEs Quantifying Security Impact of • no defence available to Nov’17 • confirmed Operating-System Design • For each establish how microkernel-based design would change impact 2 COMP9242 2019T2 W09b: Local OS Research © Gernot Heiser 2019 – CC Attribution License 3 COMP9242 2019T2 W09b: Local OS Research © Gernot Heiser 2019 – CC Attribution License Hypothetical seL4-based OS Hypothetical Security-Critical App Functionality OS structured in isolated components, minimal comparable Trusted inter-component dependencies, least privilege to Linux Application computing App requires: base • IP networking Operating system Operating system • File storage xyz xyz • Display -
Performance Study of Real-Time Operating Systems for Internet Of
IET Software Research Article ISSN 1751-8806 Performance study of real-time operating Received on 11th April 2017 Revised 13th December 2017 systems for internet of things devices Accepted on 13th January 2018 E-First on 16th February 2018 doi: 10.1049/iet-sen.2017.0048 www.ietdl.org Rafael Raymundo Belleza1 , Edison Pignaton de Freitas1 1Institute of Informatics, Federal University of Rio Grande do Sul, Av. Bento Gonçalves, 9500, CP 15064, Porto Alegre CEP: 91501-970, Brazil E-mail: [email protected] Abstract: The development of constrained devices for the internet of things (IoT) presents lots of challenges to software developers who build applications on top of these devices. Many applications in this domain have severe non-functional requirements related to timing properties, which are important concerns that have to be handled. By using real-time operating systems (RTOSs), developers have greater productivity, as they provide native support for real-time properties handling. Some of the key points in the software development for IoT in these constrained devices, like task synchronisation and network communications, are already solved by this provided real-time support. However, different RTOSs offer different degrees of support to the different demanded real-time properties. Observing this aspect, this study presents a set of benchmark tests on the selected open source and proprietary RTOSs focused on the IoT. The benchmark results show that there is no clear winner, as each RTOS performs well at least on some criteria, but general conclusions can be drawn on the suitability of each of them according to their performance evaluation in the obtained results. -
Process Scheduling Ii
PROCESS SCHEDULING II CS124 – Operating Systems Spring 2021, Lecture 12 2 Real-Time Systems • Increasingly common to have systems with real-time scheduling requirements • Real-time systems are driven by specific events • Often a periodic hardware timer interrupt • Can also be other events, e.g. detecting a wheel slipping, or an optical sensor triggering, or a proximity sensor reaching a threshold • Event latency is the amount of time between an event occurring, and when it is actually serviced • Usually, real-time systems must keep event latency below a minimum required threshold • e.g. antilock braking system has 3-5 ms to respond to wheel-slide • The real-time system must try to meet its deadlines, regardless of system load • Of course, may not always be possible… 3 Real-Time Systems (2) • Hard real-time systems require tasks to be serviced before their deadlines, otherwise the system has failed • e.g. robotic assembly lines, antilock braking systems • Soft real-time systems do not guarantee tasks will be serviced before their deadlines • Typically only guarantee that real-time tasks will be higher priority than other non-real-time tasks • e.g. media players • Within the operating system, two latencies affect the event latency of the system’s response: • Interrupt latency is the time between an interrupt occurring, and the interrupt service routine beginning to execute • Dispatch latency is the time the scheduler dispatcher takes to switch from one process to another 4 Interrupt Latency • Interrupt latency in context: Interrupt! Task -
The OKL4 Microvisor: Convergence Point of Microkernels and Hypervisors
The OKL4 Microvisor: Convergence Point of Microkernels and Hypervisors Gernot Heiser, Ben Leslie Open Kernel Labs and NICTA and UNSW Sydney, Australia ok-labs.com ©2010 Open Kernel Labs and NICTA. All rights reserved. Microkernels vs Hypervisors > Hypervisors = “microkernels done right?” [Hand et al, HotOS ‘05] • Talks about “liability inversion”, “IPC irrelevance” … > What’s the difference anyway? ok-labs.com ©2010 Open Kernel Labs and NICTA. All rights reserved. 2 What are Hypervisors? > Hypervisor = “virtual machine monitor” • Designed to multiplex multiple virtual machines on single physical machine VM1 VM2 Apps Apps AppsApps AppsApps OS OS Hypervisor > Invented in ‘60s to time-share with single-user OSes > Re-discovered in ‘00s to work around broken OS resource management ok-labs.com ©2010 Open Kernel Labs and NICTA. All rights reserved. 3 What are Microkernels? > Designed to minimise kernel code • Remove policy, services, retain mechanisms • Run OS services in user-mode • Software-engineering and dependability reasons • L4: ≈ 10 kLOC, Xen ≈ 100 kLOC, Linux: ≈ 10,000 kLOC ServersServers ServersServers Apps Servers Device AppsApps Drivers Microkernel > IPC performance critical (highly optimised) • Achieved by API simplicity, cache-friendly implementation > Invented 1970 [Brinch Hansen], popularised late ‘80s (Mach, Chorus) ok-labs.com ©2010 Open Kernel Labs and NICTA. All rights reserved. 4 What’s the Difference? > Both contain all code executing at highest privilege level • Although hypervisor may contain user-mode code as well > Both need to abstract hardware resources • Hypervisor: abstraction closely models hardware • Microkernel: abstraction designed to support wide range of systems > What must be abstracted? • Memory • CPU • I/O • Communication ok-labs.com ©2010 Open Kernel Labs and NICTA. -
Security Target Pikeos Separation Kernel V4.2.2
Security Target PikeOS Separation Kernel v4.2.2 Document ID Revision DOORS Baseline Date State 00101-8000-ST 20.6 N.A. 2018-10-10 App Author: Dominic Eschweiler SYSGO AG Am Pfaffenstein 14, D-55270 Klein-Winternheim Notice: The contents of this document are proprietary to SYSGO AG and shall not be disclosed, disseminated, copied, or used except for purposes expressly authorized in writing by SYSGO AG. Doc. ID: 00101-8000-ST Revision: 20.6 This page intentionally left blank Copyright 2018 Page 2 of 47 All rights reserved. SYSGO AG Doc. ID: 00101-8000-ST Revision: 20.6 This page intentionally left blank Copyright 2018 Page 3 of 47 All rights reserved. SYSGO AG Doc. ID: 00101-8000-ST Revision: 20.6 Table of Contents 1 Introduction .................................................................................................................... 6 1.1 Purpose of this Document ........................................................................................... 6 1.2 Document References ................................................................................................ 6 1.2.1 Applicable Documents......................................................................................... 6 1.2.2 Referenced Documents ....................................................................................... 6 1.3 Abbreviations and Acronyms ....................................................................................... 6 1.4 Terms and Definitions................................................................................................ -
The Flask Security Architecture: System Support for Diverse Security Policies
The Flask Security Architecture: System Support for Diverse Security Policies Ray Spencer Secure Computing Corporation Stephen Smalley, Peter Loscocco National Security Agency Mike Hibler, David Andersen, Jay Lepreau University of Utah http://www.cs.utah.edu/flux/flask/ Abstract and even many types of policies [1, 43, 48]. To be gen- erally acceptable, any computer security solution must Operating systems must be flexible in their support be flexible enough to support this wide range of security for security policies, providing sufficient mechanisms for policies. Even in the distributed environments of today, supporting the wide variety of real-world security poli- this policy flexibility must be supported by the security cies. Such flexibility requires controlling the propaga- mechanisms of the operating system [32]. tion of access rights, enforcing fine-grained access rights and supporting the revocation of previously granted ac- Supporting policy flexibility in the operating system is cess rights. Previous systems are lacking in at least one a hard problem that goes beyond just supporting multi- of these areas. In this paper we present an operating ple policies. The system must be capable of supporting system security architecture that solves these problems. fine-grained access controls on low-level objects used to Control over propagation is provided by ensuring that perform higher-level functions controlled by the secu- the security policy is consulted for every security deci- rity policy. Additionally, the system must ensure that sion. This control is achieved without significant perfor- the propagation of access rights is in accordance with mance degradation through the use of a security decision the security policy. -
Microkernel Vs
1 VIRTUALIZATION: IBM VM/370 AND XEN CS6410 Hakim Weatherspoon IBM VM/370 Robert Jay Creasy (1939-2005) Project leader of the first full virtualization hypervisor: IBM CP-40, a core component in the VM system The first VM system: VM/370 Virtual Machine: Origin 3 IBM CP/CMS CP-40 CP-67 VM/370 Why Virtualize 4 Underutilized machines Easier to debug and monitor OS Portability Isolation The cloud (e.g. Amazon EC2, Google Compute Engine, Microsoft Azure) IBM VM/370 Specialized Conversation Mainstream VM al Monitor OS (MVS, Another Virtual subsystem System DOS/VSE copy of VM machines (RSCS, RACF, (CMS) etc.) GCS) Hypervisor Control Program (CP) Hardware System/370 IBM VM/370 Technology: trap-and-emulate Problem Application Privileged Kernel Trap Emulate CP Classic Virtual Machine Monitor (VMM) 7 Virtualization: rejuvenation 1960’s: first track of virtualization Time and resource sharing on expensive mainframes IBM VM/370 Late 1970’s and early 1980’s: became unpopular Cheap hardware and multiprocessing OS Late 1990’s: became popular again Wide variety of OS and hardware configurations VMWare Since 2000: hot and important Cloud computing Docker containers Full Virtualization 9 Complete simulation of underlying hardware Unmodified guest OS Trap and simulate privileged instruction Was not supported by x86 (Not true anymore, Intel VT-x) Guest OS can’t see real resources Paravirtualization 10 Similar but not identical to hardware Modifications to guest OS Hypercall Guest OS registers handlers Improved performance VMware ESX Server 11 Full virtualization Dynamically rewrite privileged instructions Ballooning Content-based page sharing Denali 12 Paravirtualization 1000s of VMs Security & performance isolation Did not support mainstream OSes VM uses single-user single address space 13 Xen and the Art of Virtualization Xen 14 University of Cambridge, MS Research Cambridge XenSource, Inc.