Heterogeneous Realtime Software Architecture
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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 / -
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. -
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 -
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. -
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................................................................................................ -
Lynuxworks Lynxsecure Embedded Hypervisor and Separation
Operating systems: RTOS and tools Software LynuxWorks, Inc. 855 Embedded Way • San Jose, CA 95138 800-255-5969 www.lynuxworks.com LynxSecure Embedded Hypervisor and Separation Kernel With the introduction of the new LynxSecure separation kernel and embedded hypervisor, LynuxWorks once again raises the bar when it comes to superior embedded software security and safety. LynxSecure has been built from the ground up as a real-time separa- tion kernel able to run different operating systems and applications in their own secure partitions. The LynxSecure separation kernel is a virtual machine monitor that is certifi able to (a) Common Criteria EAL 7 (Evaluated Assurance Level 7) security certifi cation, a level of certifi cation unattained by any known operating system to date; and (b) DO-178B Level A, the highest level of FAA certifi cation for safety-critical avionics applications. LynxSecure conforms to the Multiple Independent Levels of Security/ Safety (MILS) architecture. The embedded hypervisor component of LynxSecure allows multiple “guest” operating systems to run in their own secure partitions. These can be run in either paravirtual- ized or fully virtualized modes, helping preserve legacy applications and operating systems in systems that now have a security require- FEATURES ment. Guest operating systems include the LynxOS family, Linux and › Optimal security and safety – the only operating system designed to Windows. support CC EAL 7 and DO-178B Level A › Real time – time-space partitioned RTOS for superior determinism and performance -
Cloud Computing Bible Is a Wide-Ranging and Complete Reference
A thorough, down-to-earth look Barrie Sosinsky Cloud Computing Barrie Sosinsky is a veteran computer book writer at cloud computing specializing in network systems, databases, design, development, The chance to lower IT costs makes cloud computing a and testing. Among his 35 technical books have been Wiley’s Networking hot topic, and it’s getting hotter all the time. If you want Bible and many others on operating a terra firma take on everything you should know about systems, Web topics, storage, and the cloud, this book is it. Starting with a clear definition of application software. He has written nearly 500 articles for computer what cloud computing is, why it is, and its pros and cons, magazines and Web sites. Cloud Cloud Computing Bible is a wide-ranging and complete reference. You’ll get thoroughly up to speed on cloud platforms, infrastructure, services and applications, security, and much more. Computing • Learn what cloud computing is and what it is not • Assess the value of cloud computing, including licensing models, ROI, and more • Understand abstraction, partitioning, virtualization, capacity planning, and various programming solutions • See how to use Google®, Amazon®, and Microsoft® Web services effectively ® ™ • Explore cloud communication methods — IM, Twitter , Google Buzz , Explore the cloud with Facebook®, and others • Discover how cloud services are changing mobile phones — and vice versa this complete guide Understand all platforms and technologies www.wiley.com/compbooks Shelving Category: Use Google, Amazon, or -
Xen on X86, 15 Years Later
Xen on x86, 15 years later Recent development, future direction QEMU Deprivileging PVShim Panopticon Large guests (288 vcpus) NVDIMM PVH Guests PVCalls VM Introspection / Memaccess PV IOMMU ACPI Memory Hotplug PVH dom0 Posted Interrupts KConfig Sub-page protection Hypervisor Multiplexing Talk approach • Highlight some key features • Recently finished • In progress • Cool Idea: Should be possible, nobody committed to working on it yet • Highlight how these work together to create interesting theme • PVH (with PVH dom0) • KConfig • … to disable PV • PVshim • Windows in PVH PVH: Finally here • Full PVH DomU support in Xen 4.10, Linux 4.15 • First backwards-compatibility hack • Experimental PVH Dom0 support in Xen 4.11 PVH: What is it? • Next-generation paravirtualization mode • Takes advantage of hardware virtualization support • No need for emulated BIOS or emulated devices • Lower performance overhead than PV • Lower memory overhead than HVM • More secure than either PV or HVM mode • PVH (with PVH dom0) • KConfig • … to disable PV • PVshim • Windows in PVH KConfig • KConfig for Xen allows… • Users to produce smaller / more secure binaries • Makes it easier to merge experimental functionality • KConfig option to disable PV entirely • PVH • KConfig • … to disable PV • PVshim • Windows in PVH PVShim • Some older kernels can only run in PV mode • Expect to run in ring 1, ask a hypervisor PV-only kernel (ring 1) to perform privileged actions “Shim” Hypervisor (ring 0) • “Shim”: A build of Xen designed to allow an unmodified PV guest to run in PVH mode -
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. -
(DBATU Iope) Question Bank (MCQ) Cloud Computing Elective II
Diploma in Computer Engineering (DBATU IoPE) Question Bank (MCQ) Cloud Computing Elective II (DCE3204A) Summer 2020 Exam (To be held in October 2020 - Online) Prepared by Prof. S.M. Sabale Head of Computer Engineering Institute of Petrochemical Engineering, Lonere Id 1 Question Following are the features of cloud computing: (CO1) A Reliability B Centralized computing C Location dependency D No need of internet connection Answer Marks 2 Unit I Id 2 Question Which is the property that enables a system to continue operating properly in the event of the failure of some of its components? (CO1) A Availability B Fault-tolerance C Scalability D System Security Answer Marks 2 Unit I Id 3 Question A _____________ is a contract between a network service provider and a customer that specifies, usually in measurable terms (QoS), what services the network service provider will furnish (CO1) A service-level agreement B service-level specifications C document D agreement Answer Marks 2 Unit I Id 4 Question The degree to which a system, subsystem, or equipment is in a specified operable and committable state at the start of a mission, when the mission is called for at an unknown time is called as _________ (CO1) A reliability B Scalability C Availability D system resilience Answer Marks 2 Unit I Id 5 Question Google Apps is an example of (CO1) A IaaS B SaaS C PaaS D Both PaaS and SaaS Answer Marks 2 Unit I Id 6 Question Separation of a personal computer desktop environment from a physical machine through the client server model of computing is known as __________. -
High-Assurance Separation Kernels: a Survey on Formal Methods
1 High-Assurance Separation Kernels: A Survey on Formal Methods Yongwang Zhao, Beihang University, China David Sanan´ , Nanyang Technological University, Singapore Fuyuan Zhang, Nanyang Technological University, Singapore Yang Liu, Nanyang Technological University, Singapore Separation kernels provide temporal/spatial separation and controlled information flow to their hosted applications. They are introduced to decouple the analysis of applications in partitions from the analysis of the kernel itself. More than 20 implementations of separation kernels have been developed and widely applied in critical domains, e.g., avionics/aerospace, military/defense, and medical devices. Formal methods are mandated by the security/safety certification of separation kernels and have been carried out since this concept emerged. However, this field lacks a survey to systematically study, compare, and analyze related work. On the other hand, high-assurance separation kernels by formal methods still face big challenges. In this paper, an analytical framework is first proposed to clarify the functionalities, implementations, properties and stan- dards, and formal methods application of separation kernels. Based on the proposed analytical framework, a taxonomy is designed according to formal methods application, functionalities, and properties of separation kernels. Research works in the literature are then categorized and overviewed by the taxonomy. In accordance with the analytical framework, a compre- hensive analysis and discussion of related work are presented. -
Xen to KVM Migration Guide
SUSE Linux Enterprise Server 12 SP4 Xen to KVM Migration Guide SUSE Linux Enterprise Server 12 SP4 As the KVM virtualization solution is becoming more and more popular among server administrators, many of them need a path to migrate their existing Xen based environments to KVM. As of now, there are no mature tools to automatically convert Xen VMs to KVM. There is, however, a technical solution that helps convert Xen virtual machines to KVM. The following information and procedures help you to perform such a migration. Publication Date: September 24, 2021 Contents 1 Migration to KVM Using virt-v2v 2 2 Xen to KVM Manual Migration 9 3 For More Information 18 4 Documentation Updates 18 5 Legal Notice 18 6 GNU Free Documentation License 18 1 SLES 12 SP4 Important: Migration Procedure Not Supported The migration procedure described in this document is not fully supported by SUSE. We provide it as a guidance only. 1 Migration to KVM Using virt-v2v This section contains information to help you import virtual machines from foreign hypervisors (such as Xen) to KVM managed by libvirt . Tip: Microsoft Windows Guests This section is focused on converting Linux guests. Converting Microsoft Windows guests using virt-v2v is the same as converting Linux guests, except in regards to handling the Virtual Machine Driver Pack (VMDP). Additional details on converting Windows guests with the VMDP can be found in the separate Virtual Machine Driver Pack documentation at https://www.suse.com/documentation/sle-vmdp-22/ . 1.1 Introduction to virt-v2v virt-v2v is a command line tool to convert VM Guests from a foreign hypervisor to run on KVM managed by libvirt .