OS Awareness Manual Pikeos
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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 / -
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 -
Navigating the Next Evolution of Application Development Using Distributed Tracing
Navigating the Next Evolution of Application Development Using Distributed Tracing Navigating the Next Evolution of Application Development 1 Table of Contents Introduction ...........................................................................................................................................................................................3 How has software been built? Waterfall vs. DevOps ................................................................................. ............................. 4 The next evolution: Microservices ................................................................................................................................................5 What will you need to do differently to capitalizeon modern application development? ..........................................6 Get started with Epsagon on AWS ...............................................................................................................................................8 Case Study: Bastian Solutions .......................................................................................................................................................9 Learn More ..........................................................................................................................................................................................10 Navigating the Next Evolution of Application Development 2 Introduction Building and maintaining a competitive edge often requires you to evolve with your customers’ -
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. -
Traceability Establishment and Visualization of Software Artefacts in Devops Practice: a Survey
(IJACSA) International Journal of Advanced Computer Science and Applications, Vol. 10, No. 7, 2019 Traceability Establishment and Visualization of Software Artefacts in DevOps Practice: A Survey D. A. Meedeniya1, I. D. Rubasinghe2, I. Perera3 Dept. of Computer Science and Engineering, University of Moratuwa, Sri Lanka Abstract—DevOps based software process has become the artefacts in the SDLC [2][3]. There are different forms of popular with the vision of an effective collaboration between the relationships between the homogeneous and heterogeneous development and operations teams that continuously integrates software artefacts. Some artefacts may be highly coupled, and the frequent changes. Traceability manages the artefact some may depend on other artefacts in different degrees, consistency during a software process. This paper explores the unidirectionally or bidirectionally. Thus, software artefacts trace-link creation and visualization between software artefacts, consistency management helps to fine-tune the software existing tool support, quality aspects and the applicability in a process. The incomplete, outdated software artefacts and their DevOps environment. As the novelty of this study, we identify the inconsistencies mislead both the development and maintenance challenges that limit the traceability considerations in DevOps process. Thus, artefact management is essential such that the and suggest research directions. Our methodology consists of changes are accurately propagated to the impacted artefacts concept identification, state-of-practice exploration and analytical review. Despite the existing related work, there is a without creating inconsistencies. Traceability is the potential to lack of tool support for the traceability management between relate artefacts considering their relationships [4][5]; thus, a heterogeneous artefacts in software development with DevOps solution for artefact management. -
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................................................................................................ -
Elinos Product Overview
SYSGO Product Overview ELinOS 7 Industrial Grade Linux ELinOS is a SYSGO Linux distribution to help developers save time and effort by focusing on their application. Our Industrial Grade Linux with user-friendly IDE goes along with the best selection of software packages to meet our cog linux Qt LOCK customers needs, and with the comfort of world-class technical support. ELinOS now includes Docker support Feature LTS Qt Open SSH Configurator Kernel embedded Open VPN in order to isolate applications running on the same system. laptop Q Bug Shield-Virus Docker Eclipse-based QEMU-based Application Integrated Docker IDE HW Emulators Debugging Firewall Support ELINOS FEATURES MANAGING EMBEDDED LINUX VERSATILITY • Industrial Grade Creating an Embedded Linux based system is like solving a puzzle and putting • Eclipse-based IDE for embedded the right pieces together. This requires a deep knowledge of Linux’s versatility Systems (CODEO) and takes time for the selection of components, development of Board Support • Multiple Linux kernel versions Packages and drivers, and testing of the whole system – not only for newcomers. incl. Kernel 4.19 LTS with real-time enhancements With ELinOS, SYSGO offers an ‘out-of-the-box’ experience which allows to focus • Quick and easy target on the development of competitive applications itself. ELinOS incorporates the system configuration appropriate tools, such as a feature configurator to help you build the system and • Hardware Emulation (QEMU) boost your project success, including a graphical configuration front-end with a • Extensive file system support built-in integrity validation. • Application debugging • Target analysis APPLICATION & CONFIGURATION ENVIRONMENT • Runs out-of-the-box on PikeOS • Validated and tested for In addition to standard tools, remote debugging, target system monitoring and PowerPC, x86, ARM timing behaviour analyses are essential for application development. -
Linuxcon North America 2012
LinuxCon North America 2012 LTTng 2.0 : Tracing, Analysis and Views for Performance and Debugging. E-mail: [email protected] Mathieu Desnoyers August 29th, 2012 1 > Presenter ● Mathieu Desnoyers ● EfficiOS Inc. ● http://www.efficios.com ● Author/Maintainer of ● LTTng, LTTng-UST, Babeltrace, Userspace RCU Mathieu Desnoyers August 29th, 2012 2 > Content ● Tracing benefits, ● LTTng 2.0 Linux kernel and user-space tracers, ● LTTng 2.0 usage scenarios & viewers, ● New features ready for LTTng 2.1, ● Conclusion Mathieu Desnoyers August 29th, 2012 3 > Benefits of low-impact tracing in a multi-core world ● Understanding interaction between ● Kernel ● Libraries ● Applications ● Virtual Machines ● Debugging ● Performance tuning ● Monitoring Mathieu Desnoyers August 29th, 2012 4 > Tracing use-cases ● Telecom ● Operator, engineer tracing systems concurrently with different instrumentation sets. ● In development and production phases. ● High-availability, high-throughput servers ● Development and production: ensure high performance, low-latency in production. ● Embedded ● System development and production stages. Mathieu Desnoyers August 29th, 2012 5 > LTTng 2.0 ● Rich ecosystem of projects, ● Key characteristics of LTTng 2.0: – Small impact on the traced system, fast, user- oriented features. ● Interfacing with: Common Trace Format (CTF) Interoperability Between Tracing Tools Tracing Well With Others: Integration with the Common Trace Format (CTF), of GDB Tracepoints Into Trace Tools, Mathieu Desnoyers, EfficiOS, Stan Shebs, Mentor Graphics, -
System Calls Instrumentation for Intrusion Detection In
System Calls Instrumentation for Intrusion Detection in Embedded Mixed-Criticality Systems Marine Kadar SYSGO GmbH, Klein-Winternheim, Germany [email protected] Sergey Tverdyshev SYSGO GmbH, Klein-Winternheim, Germany [email protected] Gerhard Fohler Technische Universität Kaiserslautern, Germany [email protected] Abstract System call relative information such as occurrences, type, parameters, and return values are well established metrics to reveal intrusions in a system software. Many Host Intrusion Detection Systems (HIDS) from research and industry analyze these data for continuous system monitoring at runtime. Despite a significant false alarm rate, this type of defense offers high detection precision for both known and zero-day attacks. Recent research focuses on HIDS deployment for desktop computers. Yet, the integration of such run-time monitoring solution in mixed-criticality embedded systems has not been discussed. Because of the cohabitation of potentially vulnerable non-critical software with critical software, securing mixed-criticality systems is a non trivial but essential issue. Thus, we propose a methodology to evaluate the impact of deploying system call instrumentation in such context. We analyze the impact in a concrete use-case with PikeOS real-time hypervisor. 2012 ACM Subject Classification Security and privacy → Embedded systems security; Security and privacy → Intrusion detection systems Keywords and phrases Instrumentation, Mixed-criticality, Real-Time, System Calls, Host Intrusion Detection Systems Digital Object Identifier 10.4230/OASIcs.CERTS.2019.2 Funding This work has received funding from the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No. 764785, FORA—Fog Computing for Robotics and Industrial Automation. -
Us 2019 / 0319868 A1
US 20190319868A1 ( 19) United States (12 ) Patent Application Publication ( 10) Pub . No. : US 2019 /0319868 A1 Svennebring et al. ( 43 ) Pub . Date : Oct. 17 , 2019 ( 54 ) LINK PERFORMANCE PREDICTION (52 ) U . S . CI. TECHNOLOGIES CPC .. .. H04L 43/ 0882 (2013 . 01 ); H04W 24 /08 ( 2013 . 01 ) (71 ) Applicant : Intel Corporation , Santa Clara , CA (57 ) ABSTRACT (US ) Various systems and methods for determining and commu nicating Link Performance Predictions (LPPs ), such as in ( 72 ) Inventors : Jonas Svennebring , Sollentuna (SE ) ; connection with management of radio communication links, Antony Vance Jeyaraj, Bengaluru ( IN ) are discussed herein . The LPPs are predictions of future network behaviors /metrics ( e . g . , bandwidth , latency , capac (21 ) Appl . No. : 16 /452 , 352 ity , coverage holes , etc . ) . The LPPs are communicated to applications and /or network infrastructure, which allows the applications/ infrastructure to make operational decisions for ( 22 ) Filed : Jun . 25 , 2019 improved signaling / link resource utilization . In embodi ments , the link performance analysis is divided into multiple layers that determine their own link performance metrics, Publication Classification which are then fused together to make an LPP. Each layer (51 ) Int . Cl. runs different algorithms, and provides respective results to H04L 12 / 26 ( 2006 .01 ) an LPP layer /engine that fuses the results together to obtain H04W 24 / 08 (2006 .01 ) the LPP . Other embodiments are described and / or claimed . 700 Spatio - Temporal History Data Tx1 : C1 TIDE _ 1, DE _ 2 . .. Txt : C2 T2 DE _ 1 , DE _ 2 , . .. win Txs : C3 122 T : DE _ 1, DE _ 2 , .. TN DE _ 1 , DE _ 2 .. TxN : CN CELL LOAD MODEL 710 Real- Time Data 744 704 Patent Application Publication Oct. -
System Wide Tracing and Profiling in Linux
SYSTEM WIDE TRACING AND PROFILING IN LINUX Nadav Amit Agenda • System counters inspection • Profiling with Linux perf tool • Tracing using ftrace Disclaimer • Introductory level presentation • We are not going to cover many tools • We are not going to get deep into the implementation of the tools • I am not an expert on many of the issues Collect Statistics • First step in analyzing the system behavior • Option 1: Resource statistics tools • iostat, vmstat, netstat, ifstat • dstat Examples: dstat --vm --aio • dstat • dstat --udp --tcp --socket • dstat --vm --aio dstat --udp --tcp --socket Watch system behavior online • Option 2: Sample the counter • top • Use –H switch for thread specific • Use ‘f’ to choose additional fields: page faults, last used processor • Use ‘1’ to turn off cumulative mode • iotop • Remember to run as sudoer top Inspect Raw Counters • Option 3: Go to the raw counters • General • /proc/stat • /proc/meminfo • /proc/interrupts • Process specific • /proc/[pid]/statm – process memory • /proc/[pid]/stat – process execution times • /proc/[pid]/status – human readable • Device specific • /sys/block/[dev]/stat • /proc/dev/net • Hardware • smartctl /proc/interrupts /sys/block/[dev]/stat Name units description ---- ----- ----------- read I/Os requests number of read I/Os processed read merges requests number of read I/Os merged with in-queue I/O read sectors sectors number of sectors read read ticks milliseconds total wait time for read requests write I/Os requests number of write I/Os processed write merges requests number -
Debian \ Amber \ Arco-Debian \ Arc-Live \ Aslinux \ Beatrix
Debian \ Amber \ Arco-Debian \ Arc-Live \ ASLinux \ BeatriX \ BlackRhino \ BlankON \ Bluewall \ BOSS \ Canaima \ Clonezilla Live \ Conducit \ Corel \ Xandros \ DeadCD \ Olive \ DeMuDi \ \ 64Studio (64 Studio) \ DoudouLinux \ DRBL \ Elive \ Epidemic \ Estrella Roja \ Euronode \ GALPon MiniNo \ Gibraltar \ GNUGuitarINUX \ gnuLiNex \ \ Lihuen \ grml \ Guadalinex \ Impi \ Inquisitor \ Linux Mint Debian \ LliureX \ K-DEMar \ kademar \ Knoppix \ \ B2D \ \ Bioknoppix \ \ Damn Small Linux \ \ \ Hikarunix \ \ \ DSL-N \ \ \ Damn Vulnerable Linux \ \ Danix \ \ Feather \ \ INSERT \ \ Joatha \ \ Kaella \ \ Kanotix \ \ \ Auditor Security Linux \ \ \ Backtrack \ \ \ Parsix \ \ Kurumin \ \ \ Dizinha \ \ \ \ NeoDizinha \ \ \ \ Patinho Faminto \ \ \ Kalango \ \ \ Poseidon \ \ MAX \ \ Medialinux \ \ Mediainlinux \ \ ArtistX \ \ Morphix \ \ \ Aquamorph \ \ \ Dreamlinux \ \ \ Hiwix \ \ \ Hiweed \ \ \ \ Deepin \ \ \ ZoneCD \ \ Musix \ \ ParallelKnoppix \ \ Quantian \ \ Shabdix \ \ Symphony OS \ \ Whoppix \ \ WHAX \ LEAF \ Libranet \ Librassoc \ Lindows \ Linspire \ \ Freespire \ Liquid Lemur \ Matriux \ MEPIS \ SimplyMEPIS \ \ antiX \ \ \ Swift \ Metamorphose \ miniwoody \ Bonzai \ MoLinux \ \ Tirwal \ NepaLinux \ Nova \ Omoikane (Arma) \ OpenMediaVault \ OS2005 \ Maemo \ Meego Harmattan \ PelicanHPC \ Progeny \ Progress \ Proxmox \ PureOS \ Red Ribbon \ Resulinux \ Rxart \ SalineOS \ Semplice \ sidux \ aptosid \ \ siduction \ Skolelinux \ Snowlinux \ srvRX live \ Storm \ Tails \ ThinClientOS \ Trisquel \ Tuquito \ Ubuntu \ \ A/V \ \ AV \ \ Airinux \ \ Arabian