An Investigation on Several Operating Systems for Internet of Things
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An Event-Driven Embedded Operating System for Miniature Robots
This is a repository copy of OpenSwarm: an event-driven embedded operating system for miniature robots. White Rose Research Online URL for this paper: http://eprints.whiterose.ac.uk/110437/ Version: Accepted Version Proceedings Paper: Trenkwalder, S.M., Lopes, Y.K., Kolling, A. et al. (3 more authors) (2016) OpenSwarm: an event-driven embedded operating system for miniature robots. In: Proceedings of IROS 2016. 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems, 09-14 Oct 2016, Daejeon, Korea. IEEE . ISBN 978-1-5090-3762-9 https://doi.org/10.1109/IROS.2016.7759660 © 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works. Reuse Items deposited in White Rose Research Online are protected by copyright, with all rights reserved unless indicated otherwise. They may be downloaded and/or printed for private study, or other acts as permitted by national copyright laws. The publisher or other rights holders may allow further reproduction and re-use of the full text version. This is indicated by the licence information on the White Rose Research Online record for the item. Takedown If you consider content in White Rose Research Online to be in breach of UK law, please notify us by emailing [email protected] including the URL of the record and the reason for the withdrawal request. -
A Comparative Study on Operating System for Wireless Sensor Networks
ICACSIS 2011 ISBN: 978-979-1421-11-9 A Comparative Study on Operating System for Wireless Sensor Networks Thang Vu Chien, Hung Nguyen Chan, and Thanh Nguyen Huu Thai Nguyen University of Information and Communication Technology Quyet Thang Commune, Thai Nguyen City, Vietnam E-mail: [email protected], [email protected], [email protected] Abstract—Wireless Sensor Networks (WSNs) them work correctly and effectively without a conflict have been the subject of intensive research over the in support of the specific applications for which they last years. WSNs consist of a large number of are designed. Each sensor node needs an OS that can sensor nodes, and are used for various applications control the hardware, provide hardware abstraction to such as building monitoring, environment control, application software, and fill in the gap between wild-life habitat monitoring, forest fire detection, applications and the underlying hardware. industry automation, military, security, and health- The basic functionalities of an OS include resource care. Operating system (OS) support for WSNs abstractions for various hardware devices, interrupt plays a central role in building scalable distributed management and task scheduling, concurrency control, applications that are efficient and reliable. Over and networking support. Based on the services the years, we have seen a variety of operating provided by the OS, application programmers can systems (OSes) emerging in the sensor network conveniently use high-level application programming community to facilitate developing WSN interfaces (APIs) independent of the underlying applications. In this paper, we present OS for WSNs. We begin by presenting the major issues for hardware. -
What Are the Problems with Embedded Linux?
What Are the Problems with Embedded Linux? Every Operating System Has Benefits and Drawbacks Linux is ubiquitous. It runs most internet servers, is inside Android* smartphones, and is used on millions of embedded systems that, in the past, ran Real-Time Operating Systems (RTOSes). Linux can (and should) be used were possible for embedded projects, but while it gives you extreme choice, it also presents the risk of extreme complexity. What, then, are the trade-offs between embedded Linux and an RTOS? In this article, we cover some key considerations when evaluating Linux for a new development: ■ Design your system architecture first ■ What is Linux? ■ Linux vs. RTOSes ■ Free software is about liberty—not price ■ How much does Embedded Linux cost? ■ Why pay for Embedded Linux? ■ Should you buy Embedded Linux or roll-your-own (RYO)? ■ To fork or not to fork? ■ Software patching ■ Open source licensing ■ Making an informed decision The important thing is not whether Linux or an RTOS is “the best,” but whether either operating system—or both together—makes the most technical and financial sense for your project. We hope this article helps you make an informed decision. Design Your System Architecture First It is important to design your system architecture first—before choosing either Linux or an RTOS—because both choices can limit architectural freedom. You may discover that aspects of your design require neither Linux nor an RTOS, making your design a strong candidate for a heterogeneous approach that includes one or more bare-metal environments (with possibly a Linux and/or RTOS environment as well). -
Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform
2020 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS) Co-Optimizing Performance and Memory Footprint Via Integrated CPU/GPU Memory Management, an Implementation on Autonomous Driving Platform Soroush Bateni*, Zhendong Wang*, Yuankun Zhu, Yang Hu, and Cong Liu The University of Texas at Dallas Abstract—Cutting-edge embedded system applications, such as launches the OpenVINO toolkit for the edge-based deep self-driving cars and unmanned drone software, are reliant on learning inference on its integrated HD GPUs [4]. integrated CPU/GPU platforms for their DNNs-driven workload, Despite the advantages in SWaP features presented by the such as perception and other highly parallel components. In this work, we set out to explore the hidden performance im- integrated CPU/GPU architecture, our community still lacks plication of GPU memory management methods of integrated an in-depth understanding of the architectural and system CPU/GPU architecture. Through a series of experiments on behaviors of integrated GPU when emerging autonomous and micro-benchmarks and real-world workloads, we find that the edge intelligence workloads are executed, particularly in multi- performance under different memory management methods may tasking fashion. Specifically, in this paper we set out to explore vary according to application characteristics. Based on this observation, we develop a performance model that can predict the performance implications exposed by various GPU memory system overhead for each memory management method based management (MM) methods of the integrated CPU/GPU on application characteristics. Guided by the performance model, architecture. The reason we focus on the performance impacts we further propose a runtime scheduler. -
AMNESIA 33: How TCP/IP Stacks Breed Critical Vulnerabilities in Iot
AMNESIA:33 | RESEARCH REPORT How TCP/IP Stacks Breed Critical Vulnerabilities in IoT, OT and IT Devices Published by Forescout Research Labs Written by Daniel dos Santos, Stanislav Dashevskyi, Jos Wetzels and Amine Amri RESEARCH REPORT | AMNESIA:33 Contents 1. Executive summary 4 2. About Project Memoria 5 3. AMNESIA:33 – a security analysis of open source TCP/IP stacks 7 3.1. Why focus on open source TCP/IP stacks? 7 3.2. Which open source stacks, exactly? 7 3.3. 33 new findings 9 4. A comparison with similar studies 14 4.1. Which components are typically flawed? 16 4.2. What are the most common vulnerability types? 17 4.3. Common anti-patterns 22 4.4. What about exploitability? 29 4.5. What is the actual danger? 32 5. Estimating the reach of AMNESIA:33 34 5.1. Where you can see AMNESIA:33 – the modern supply chain 34 5.2. The challenge – identifying and patching affected devices 36 5.3. Facing the challenge – estimating numbers 37 5.3.1. How many vendors 39 5.3.2. What device types 39 5.3.3. How many device units 40 6. An attack scenario 41 6.1. Other possible attack scenarios 44 7. Effective IoT risk mitigation 45 8. Conclusion 46 FORESCOUT RESEARCH LABS RESEARCH REPORT | AMNESIA:33 A note on vulnerability disclosure We would like to thank the CERT Coordination Center, the ICS-CERT, the German Federal Office for Information Security (BSI) and the JPCERT Coordination Center for their help in coordinating the disclosure of the AMNESIA:33 vulnerabilities. -
Tinyos Meets Wireless Mesh Networks
TinyOS Meets Wireless Mesh Networks Muhammad Hamad Alizai, Bernhard Kirchen, Jo´ Agila´ Bitsch Link, Hanno Wirtz, Klaus Wehrle Communication and Distributed Systems, RWTH Aachen University, Germany [email protected] Abstract 2 TinyWifi We present TinyWifi, a nesC code base extending TinyOS The goal of TinyWifi is to enable direct execution of to support Linux powered network nodes. It enables devel- TinyOS applications and protocols on Linux driven network opers to build arbitrary TinyOS applications and protocols nodes with no additional effort. To achieve this, the Tiny- and execute them directly on Linux by compiling for the Wifi platform extends the existing TinyOS core to provide new TinyWifi platform. Using TinyWifi as a TinyOS plat- the exact same hardware independent functionality as any form, we expand the applicability and means of evaluation of other platform (see Figure 1). At the same time, it exploits wireless protocols originally designed for sensornets towards the customary advantages of typical Linux driven network inherently similar Linux driven ad hoc and mesh networks. devices such as large memory, more processing power and higher communication bandwidth. In the following we de- 1 Motivation scribe the architecture of each component of our TinyWifi Implementation. Although different in their applications and resource con- straints, sensornets and Wi-Fi based multihop networks share 2.1 Timers inherent similarities: (1) They operate on the same frequency The TinyOS timing functionality is based on the hardware band, (2) experience highly dynamic and bursty links due to timers present in current microcontrollers. A sensor-node radio interferences and other physical influences resulting in platform provides multiple realtime hardware timers to spe- unreliable routing paths, (3) each node can only communi- cific TinyOS components at the HAL layer - such as alarms, cate with nodes within its radio range forming a mesh topol- counters, and virtualization. -
Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy
Journal of Sensor and Actuator Networks Review Shared Sensor Networks Fundamentals, Challenges, Opportunities, Virtualization Techniques, Comparative Analysis, Novel Architecture and Taxonomy Nahla S. Abdel Azeem 1, Ibrahim Tarrad 2, Anar Abdel Hady 3,4, M. I. Youssef 2 and Sherine M. Abd El-kader 3,* 1 Information Technology Center, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 2 Electrical Engineering Department, Al-Azhar University, Naser City, Cairo 11651, Egypt; [email protected] (I.T.); [email protected] (M.I.Y.) 3 Computers & Systems Department, Electronics Research Institute (ERI), El Tahrir st, El Dokki, Giza 12622, Egypt; [email protected] 4 Department of Computer Science & Engineering, School of Engineering and Applied Science, Washington University in St. Louis, St. Louis, MO 63130, 1045, USA; [email protected] * Correspondence: [email protected] Received: 19 March 2019; Accepted: 7 May 2019; Published: 15 May 2019 Abstract: The rabid growth of today’s technological world has led us to connecting every electronic device worldwide together, which guides us towards the Internet of Things (IoT). Gathering the produced information based on a very tiny sensing devices under the umbrella of Wireless Sensor Networks (WSNs). The nature of these networks suffers from missing sharing among them in both hardware and software, which causes redundancy and more budget to be used. Thus, the appearance of Shared Sensor Networks (SSNs) provides a real modern revolution in it. Where it targets making a real change in its nature from domain specific networks to concurrent running domain networks. That happens by merging it with the technology of virtualization that enables the sharing feature over different levels of its hardware and software to provide the optimal utilization of the deployed infrastructure with a reduced cost. -
Overview of Wireless Sensor Network (WSN) Security
Overview of Wireless Sensor Network (WSN) Security Aparicio Carranza Heesang Kim Xiao Lin Chen NYC College of Technology NYC College of Technology NYC College of Technology 186 Jay Street – V626 186 Jay Street 186 Jay Street Brooklyn, NY, USA Brooklyn, NY, USA Brooklyn NY, USA 718 – 260 – 5897 703 – 232 – 2001 917 – 285 - 5155 [email protected] [email protected] xiaolin,[email protected] ABSTRACT of different transmission schemes, allowing the connection Our civilization has entered an era of big data networking. to be made between different models. A router is a good Massive amounts of data is being converted into bits for example of a gateway. There are two common Wireless transmitting over the Internet and shared all over the world network topologies commonly used in WSN systems, they every second. The concept of “smart” devices has are “relay nodes” and “leaf nodes”. The relay network is a conquered preconceived notions of daily routines. broad network topology where the source and destination Smartphones and wearable device technologies have made are interconnected through some node. In these networks, humans to be continuously interconnected, making distance the source and destination cannot communicate directly a factor of no limitation. “Smart” systems are based on a with each other because the distance between the source single concept called the Internet of Things (IoT). IoT is a and destination is greater than the transmission range, due web of wirelessly networked devices embedded with to this an intermediate node needs to relay. The advantage electronic components and sensors that monitors physical of using the relay nodes is that the information can travel and environmental conditions and acquires data to be long distances even when the caller and recipient are far shared with other systems. -
1921 Tulsa Race Riot Reconnaissance Survey
1921 Tulsa Race Riot Reconnaissance Survey Final November 2005 National Park Service U.S. Department of the Interior CONTENTS INTRODUCTION 1 Summary Statement 1 Bac.ground and Purpose 1 HISTORIC CONTEXT 5 National Persp4l<live 5 1'k"Y v. f~u,on' World War I: 1896-1917 5 World W~r I and Postw~r ( r.: 1!1t7' EarIV 1920,; 8 Tulsa RaCR Riot 14 IIa<kground 14 TI\oe R~~ Riot 18 AIt. rmath 29 Socilot Political, lind Economic Impa<tsJRamlt;catlon, 32 INVENTORY 39 Survey Arf!a 39 Historic Greenwood Area 39 Anla Oubi" of HiOlorK G_nwood 40 The Tulsa Race Riot Maps 43 Slirvey Area Historic Resources 43 HI STORIC GREENWOOD AREA RESOURCeS 7J EVALUATION Of NATIONAL SIGNIFICANCE 91 Criteria for National Significance 91 Nalional Signifiunce EV;1lu;1tio.n 92 NMiol\ill Sionlflcao<e An.aIYS;s 92 Inl~ri ly E~alualion AnalY'is 95 {"",Iu,ion 98 Potenl l~1 M~na~menl Strategies for Resource Prote<tion 99 PREPARERS AND CONSULTANTS 103 BIBUOGRAPHY 105 APPENDIX A, Inventory of Elltant Cultural Resoun:es Associated with 1921 Tulsa Race Riot That Are Located Outside of Historic Greenwood Area 109 Maps 49 The African American S«tion. 1921 51 TI\oe Seed. of c..taotrophe 53 T.... Riot Erupt! SS ~I,.,t Blood 57 NiOhl Fiohlino 59 rM Inva.ion 01 iliad. TIll ... 61 TM fighl for Standp''''' Hill 63 W.II of fire 65 Arri~.. , of the Statl! Troop< 6 7 Fil'lal FiOlrtino ~nd M~,,;~I I.IIw 69 jii INTRODUCTION Summary Statement n~sed in its history. -
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. -
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. -
Operating in a New Environment
EMBEDDED DESIGN OPERATING SYSTEMS lthough the concept of the IoT was Ioated around the turn of the Millennium, it is A only recently that the approach has gathered significant momentum. But, because it is a blanket term, IoT is not only being applied to large and small applications alike, it is also being applied in a wide range of end markets. With such a spread, it will come as no surprise to discover that one size does not fit all when it comes to operating systems. At the high end of the market, companies like Intel are vying to provide a complete solution. Alongside its processor technology, Intel can integrate Wind River’s VxWorks operating system and McAfee security software to create a system capable of handling high levels of complexity. But those developing wearable devices, for example, may not want to take advantage of such a system; they may well be looking for an OS that runs in a very small footprint but, nonetheless, offers a range of Operating in a new necessary features while consuming minimal amounts of power. ARM has had its eyes on the sector for some time and, last year, rolled out environment a significant extension to its mbed programme. Previously, mbed was an embedded development community The Internet of Things is posing challenges to OS developers. with ambitions similar to those of Arduino and Raspberry Pi. But mbed How are they responding? By Graham Pitcher. now has a much bigger vision – the IoT. As part of this approach, it is creating mbed OS (see fig 1).