Lock-Based Resource Sharing for Real-Time Multi-Processors
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Efficient Scheduling Library for Freertos
DEGREE PROJECT IN INFORMATION AND COMMUNICATION TECHNOLOGY, SECOND CYCLE, 30 CREDITS STOCKHOLM, SWEDEN 2016 Efficient Scheduling Library for FreeRTOS ROBIN KASE KTH ROYAL INSTITUTE OF TECHNOLOGY SCHOOL OF INFORMATION AND COMMUNICATION TECHNOLOGY Efficient Scheduling Library for FreeRTOS ROBIN KASE Master’s Thesis at KTH Information and Communication Technology Supervisor: Kenji Kise (Tokyo Institute of Technology) Examiner: Johnny Öberg (KTH) TRITA-ICT-EX-2016:166 Abstract At present, there is a gap between practical implementations of task scheduling on numerous popular Real-Time Operating Systems (RTOSs) and theoretical real-time scheduling. It is difficult to choose what theoretical real-time scheduling concepts to implement when designing a kernel, as theoretical concepts grow and improve over time. Furthermore, the kernel can be kept simpler when offering only simple fixed priority scheduling policy, as advanced scheduling features often require more com- plex implementation and larger overhead. By offering a real-time scheduling library implemented in user space, the user can choose whether to skip the overhead, or use more advanced theories. At the moment there exists already several scheduling frameworks for FreeRTOS. However, they are either difficult to use, not completely implemented in user space, or not providing various theoretical scheduling policies. An open source scheduling library for FreeRTOS implemented in user space that is user friendly and runs with low overhead, Efficient Scheduling Library (ESFree) is proposed. The proposed scheduling library provides polling server that runs aperiodic and sporadic jobs, dependable timing error detection and handling, Rate-Monotonic Scheduling (RMS), Deadline-Monotonic Scheduling (DMS) and Earliest Deadline First (EDF) scheduling policies to provide theoretical real-time scheduling features to speed up development of complex projects, and make FreeRTOS friendlier to students who have newly studied real-time scheduling. -
Download The
ERIKA Enterprise Current limitations and possible solutions Version: 7 February 11, 2016 DRAFT About Evidence S.r.l. Evidence is a company operating in the field of software for embedded real-time systems. It started in 2002 as a spin-off company of the Real-Time Systems (ReTiS) Lab of the Scuola Superiore Sant'Anna (Pisa, Italy). Today, Evidence is a dynamic company having collaborations in the field of electronics, telecommunications, automotives, and industrial automation. People at Evidence are experts in the domain of embedded and real-time systems, with a deep knowledge on the design and specification flow of embedded software, especially for the embedded market. Besides providing consultancy services, Evidence also provides: BSPs based on Linux for embedded devices, evaluation boards featuring most innovative 8, 16 and 32-bit microcontrollers for the embedded market, development tools for making embedded software development easier, and tools for the schedulability analysis of real-time tasks running on your final product. For more information see: http://www.evidence.eu.com Contact Info Evidence Srl, Via Carducci 56 Localit`aGhezzano 56010 S.Giuliano Terme PISA Italy Tel: +39 050 99 11 224 Fax: +39 050 99 10 812 For more information about Evidence products, please send an e-mail to the follow- ing address: [email protected]. Other information about the Evidence product line can be found at the Evidence web site at: http://www.evidence.eu.com. This document is Copyright 2011-2015 Evidence S.r.l. Information and images contained within this document are copyright and the property of Evidence S.r.l. -
Isolation, Resource Management, and Sharing in Java
Processes in KaffeOS: Isolation, Resource Management, and Sharing in Java Godmar Back, Wilson C. Hsieh, Jay Lepreau School of Computing University of Utah Abstract many environments for executing untrusted code: for example, applets, servlets, active packets [41], database Single-language runtime systems, in the form of Java queries [15], and kernel extensions [6]. Current systems virtual machines, are widely deployed platforms for ex- (such as Java) provide memory protection through the ecuting untrusted mobile code. These runtimes pro- enforcement of type safety and secure system services vide some of the features that operating systems pro- through a number of mechanisms, including namespace vide: inter-application memory protection and basic sys- and access control. Unfortunately, malicious or buggy tem services. They do not, however, provide the ability applications can deny service to other applications. For to isolate applications from each other, or limit their re- example, a Java applet can generate excessive amounts source consumption. This paper describes KaffeOS, a of garbage and cause a Web browser to spend all of its Java runtime system that provides these features. The time collecting it. KaffeOS architecture takes many lessons from operating To support the execution of untrusted code, type-safe system design, such as the use of a user/kernel bound- language runtimes need to provide a mechanism to iso- ary, and employs garbage collection techniques, such as late and manage the resources of applications, analogous write barriers. to that provided by operating systems. Although other re- The KaffeOS architecture supports the OS abstraction source management abstractions exist [4], the classic OS of a process in a Java virtual machine. -
Libresource - Getting System Resource Information with Standard Apis Tuesday, 13 November 2018 14:55 (15 Minutes)
Linux Plumbers Conference 2018 Contribution ID: 255 Type: not specified libresource - Getting system resource information with standard APIs Tuesday, 13 November 2018 14:55 (15 minutes) System resource information, like memory, network and device statistics, are crucial for system administrators to understand the inner workings of their systems, and are increasingly being used by applications to fine tune performance in different environments. Getting system resource information on Linux is not a straightforward affair. The best way is tocollectthe information from procfs or sysfs, but getting such information from procfs or sysfs presents many challenges. Each time an application wants to get a system resource information, it has to open a file, read the content and then parse the content to get actual information. If application is running in a container then even reading from procfs directly may give information about resources on whole system instead of just the container. Libresource tries to fix few of these problems by providing a standard library with set of APIs through which we can get system resource information e.g. memory, CPU, stat, networking, security related information. Libresource provides/may provide following benefits: • Virtualization: In cases where application is running in a virtualized environment using cgroup or namespaces, reading from /proc and /sys file-systems might not give correct information as these are not cgroup aware. Library API will take care of this e.g. if a process is running in a cgroup then library should provide information which is local to that cgroup. • Ease of use: Currently applications needs to read this info mostly from /proc and /sys file-systems. -
Introduction to Performance Management
C HAPTER 1 Introduction to Performance Management Application developers and system administrators face similar challenges in managing the performance of a computer system. Performance manage- ment starts with application design and development and migrates to administration and tuning of the deployed production system or systems. It is necessary to keep performance in mind at all stages in the development and deployment of a system and application. There is a definite over- lap in the responsibilities of the developer and administrator. Sometimes determining where one ends and the other begins is more difficult when a single person or small group develops, admin- isters and uses the application. This chapter will look at: • Application developer’s perspective • System administrator’s perspective • Total system resource perspective • Rules of performance tuning 1.1 Application Developer’s Perspective The tasks of the application developer include: • Defining the application • Determining the specifications • Designing application components • Developing the application codes • Testing, tuning, and debugging • Deploying the system and application • Maintaining the system and application 3 4 Chapter 1 • Introduction to Performance Management 1.1.1 Defining the Application The first step is to determine what the application is going to be. Initially, management may need to define the priorities of the development group. Surveys of user organizations may also be carried out. 1.1.2 Determining Application Specifications Defining what the application will accomplish is necessary before any code is written. The users and developers should agree, in advance, on the particular features and/or functionality that the application will provide. Often, performance specifications are agreed upon at this time, and these are typically expressed in terms of user response time or system throughput measures. -
Linux® Resource Administration Guide
Linux® Resource Administration Guide 007–4413–004 CONTRIBUTORS Written by Terry Schultz Illustrated by Chris Wengelski Production by Karen Jacobson Engineering contributions by Jeremy Brown, Marlys Kohnke, Paul Jackson, John Hesterberg, Robin Holt, Kevin McMahon, Troy Miller, Dennis Parker, Sam Watters, and Todd Wyman COPYRIGHT © 2002–2004 Silicon Graphics, Inc. All rights reserved; provided portions may be copyright in third parties, as indicated elsewhere herein. No permission is granted to copy, distribute, or create derivative works from the contents of this electronic documentation in any manner, in whole or in part, without the prior written permission of Silicon Graphics, Inc. LIMITED RIGHTS LEGEND The electronic (software) version of this document was developed at private expense; if acquired under an agreement with the USA government or any contractor thereto, it is acquired as "commercial computer software" subject to the provisions of its applicable license agreement, as specified in (a) 48 CFR 12.212 of the FAR; or, if acquired for Department of Defense units, (b) 48 CFR 227-7202 of the DoD FAR Supplement; or sections succeeding thereto. Contractor/manufacturer is Silicon Graphics, Inc., 1600 Amphitheatre Pkwy 2E, Mountain View, CA 94043-1351. TRADEMARKS AND ATTRIBUTIONS Silicon Graphics, SGI, the SGI logo, and IRIX are registered trademarks and SGI Linux and SGI ProPack for Linux are trademarks of Silicon Graphics, Inc., in the United States and/or other countries worldwide. SGI Advanced Linux Environment 2.1 is based on Red Hat Linux Advanced Server 2.1 for the Itanium Processor, but is not sponsored by or endorsed by Red Hat, Inc. -
SUSE Linux Enterprise Server 11 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 11 SP4
SUSE Linux Enterprise Server 11 SP4 System Analysis and Tuning Guide System Analysis and Tuning Guide SUSE Linux Enterprise Server 11 SP4 Publication Date: September 24, 2021 SUSE LLC 1800 South Novell Place Provo, UT 84606 USA https://documentation.suse.com Copyright © 2006– 2021 SUSE LLC and contributors. All rights reserved. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.2 or (at your option) version 1.3; with the Invariant Section being this copyright notice and license. A copy of the license version 1.2 is included in the section entitled “GNU Free Documentation License”. For SUSE trademarks, see http://www.suse.com/company/legal/ . All other third party trademarks are the property of their respective owners. A trademark symbol (®, ™ etc.) denotes a SUSE or Novell trademark; an asterisk (*) denotes a third party trademark. All information found in this book has been compiled with utmost attention to detail. However, this does not guarantee complete accuracy. Neither SUSE LLC, its aliates, the authors nor the translators shall be held liable for possible errors or the consequences thereof. Contents About This Guide xi 1 Available Documentation xii 2 Feedback xiv 3 Documentation Conventions xv I BASICS 1 1 General Notes on System Tuning 2 1.1 Be Sure What Problem to Solve 2 1.2 Rule Out Common Problems 3 1.3 Finding the Bottleneck 3 1.4 Step-by-step Tuning 4 II SYSTEM MONITORING 5 2 System Monitoring Utilities 6 2.1 Multi-Purpose Tools 6 vmstat 7 -
A Fully Open-Source Platform for Automotive Systems
A fully Open-Source Platform for Automotive Systems Implementation by Paolo Gai, CEO Evidence Srl Bruno Morelli, Evidence Srl 2 The company Founded in 2002, we do custom design and development of software for small embedded devices ~20 qualified people with an average age of 34 years, 30% PhD Experience in automotive, industrial, white goods RTOS and MCU skills • OSEK/VDX, AUTOSAR, • Automatic code generation Embedded Linux skills • 8 Yrs experience in custom BSPs, U-Boot, kernel drivers, • Initial developers of the SCHED_DEADLINE patch 3 Everything in one slide • We created a completely Open-source solution for Automotive systems + • Linux for HMI, communication and logging • ERIKA Enterprise for real-time performance and control • We will show a demo on a dual core Freescale iMX6 • http://erika.tuxfamily.org • Free RTOS for automotive devices • Open-source license , static linking of closed source code • ERIKA Enterprise is the first and only OSEK/VDX certified open-source RTOS 4 Agenda • IVI system requirements and multicore devices • Main features of Erika Enterprise • Success stories • Towards a fully integrated Open-Source solution with Linux and Erika Enterprise • (some) implementation details • Demo on Freescale iMX6 5 Main Requirements of future IVI systems • Fast Boot • there must be a subsystem ready to go in a few ms • Linux boot times are usually in the order of seconds • Real-Time support • there must be a subsystem with real-time performance • e.g. CAN Bus, motor control • Quality of Service • IVI applications need soft-realtime -
IBM Power Systems Virtualization Operation Management for SAP Applications
Front cover IBM Power Systems Virtualization Operation Management for SAP Applications Dino Quintero Enrico Joedecke Katharina Probst Andreas Schauberer Redpaper IBM Redbooks IBM Power Systems Virtualization Operation Management for SAP Applications March 2020 REDP-5579-00 Note: Before using this information and the product it supports, read the information in “Notices” on page v. First Edition (March 2020) This edition applies to the following products: Red Hat Enterprise Linux 7.6 Red Hat Virtualization 4.2 SUSE Linux SLES 12 SP3 HMC V9 R1.920.0 Novalink 1.0.0.10 ipmitool V1.8.18 © Copyright International Business Machines Corporation 2020. All rights reserved. Note to U.S. Government Users Restricted Rights -- Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. Contents Notices . .v Trademarks . vi Preface . vii Authors. vii Now you can become a published author, too! . viii Comments welcome. viii Stay connected to IBM Redbooks . ix Chapter 1. Introduction. 1 1.1 Preface . 2 Chapter 2. Server virtualization . 3 2.1 Introduction . 4 2.2 Server and hypervisor options . 4 2.2.1 Power Systems models that support PowerVM versus KVM . 4 2.2.2 Overview of POWER8 and POWER9 processor-based hardware models. 4 2.2.3 Comparison of PowerVM and KVM / RHV . 7 2.3 Hypervisors . 8 2.3.1 Introducing IBM PowerVM . 8 2.3.2 Kernel-based virtual machine introduction . 15 2.3.3 Resource overcommitment . 16 2.3.4 Red Hat Virtualization . 17 Chapter 3. IBM PowerVM management and operations . 19 3.1 Shared processor logical partitions . 20 3.1.1 Configuring a shared processor LPAR . -
ERIKA Enterprise Basic Manual
ERIKA Enterprise Basic Manual ...multithreading on a thumb! version: 1.1.2 July 18, 2008 About Evidence S.r.l. Evidence is a spin-off company of the ReTiS Lab of the Scuola Superiore S. Anna, Pisa, Italy. We are experts in the domain of embedded and real-time systems with a deep knowledge of the design and specification of embedded SW. We keep providing signifi- cant advances in the state of the art of real-time analysis and multiprocessor scheduling. Our methodologies and tools aim at bringing innovative solutions for next-generation embedded systems architectures and designs, such as multiprocessor-on-a-chip, recon- figurable hardware, dynamic scheduling and much more! Contact Info Address: Evidence Srl, c/o Incubatore Pont-Tech Viale Rinaldo Piaggio, 32 56025 Pontedera (PI), Italy Tel: +39 0587 274 823 Fax: +39 0587 291 904 For more information on Evidence Products, please send an e-mail to the following address: [email protected]. Other informations about the Evidence product line can be found at the Evidence web site at: http://www.evidence.eu.com. This document is Copyright 2005-2008 Evidence S.r.l. Information and images contained within this document are copyright and the property of Evidence S.r.l. All trademarks are hereby acknowledged to be the properties of their respective owners. The information, text and graphics contained in this document are provided for information purposes only by Evidence S.r.l. Evidence S.r.l. does not warrant the accuracy, or completeness of the information, text, and other items contained in this document. -
REST API Specifications
IBM Hyper-Scale Manager Version 5.5.1 REST API Specifications IBM IBM Confidential SC27-6440-06 IBM Confidential Note Before using this information and the product it supports, read the information in “Notices” on page 73. Edition Notice Publication number: SC27-6440-06. This edition applies to IBM® Hyper-Scale Manager version 5.5.1 and to all subsequent releases and modifications, until otherwise indicated in a newer publication. © Copyright International Business Machines Corporation 2014, 2019. US Government Users Restricted Rights – Use, duplication or disclosure restricted by GSA ADP Schedule Contract with IBM Corp. IBM Confidential Contents List of Tables........................................................................................................vii About this guide................................................................................................... ix Who should use this guide.......................................................................................................................... ix Conventions used in this guide................................................................................................................... ix Related information and publications.........................................................................................................ix Getting information, help, and service.........................................................................................................x IBM Publications Center............................................................................................................................. -
Embedded Operating Systems
7 Embedded Operating Systems Claudio Scordino1, Errico Guidieri1, Bruno Morelli1, Andrea Marongiu2,3, Giuseppe Tagliavini3 and Paolo Gai1 1Evidence SRL, Italy 2Swiss Federal Institute of Technology in Zurich (ETHZ), Switzerland 3University of Bologna, Italy In this chapter, we will provide a description of existing open-source operating systems (OSs) which have been analyzed with the objective of providing a porting for the reference architecture described in Chapter 2. Among the various possibilities, the ERIKA Enterprise RTOS (Real-Time Operating System) and Linux with preemption patches have been selected. A description of the porting effort on the reference architecture has also been provided. 7.1 Introduction In the past, OSs for high-performance computing (HPC) were based on custom-tailored solutions to fully exploit all performance opportunities of supercomputers. Nowadays, instead, HPC systems are being moved away from in-house OSs to more generic OS solutions like Linux. Such a trend can be observed in the TOP500 list [1] that includes the 500 most powerful supercomputers in the world, in which Linux dominates the competition. In fact, in around 20 years, Linux has been capable of conquering all the TOP500 list from scratch (for the first time in November 2017). Each manufacturer, however, still implements specific changes to the Linux OS to better exploit specific computer hardware features. This is especially true in the case of computing nodes in which lightweight kernels are used to speed up the computation. 173 174 Embedded Operating Systems Figure 7.1 Number of Linux-based supercomputers in the TOP500 list. Linux is a full-featured OS, originally designed to be used in server or desktop environments.