An Overview of Microkernel, Hypervisor and Microvisor Virtualization Approaches for Embedded Systems
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A Microkernel API for Fine-Grained Decomposition
A Microkernel API for Fine-Grained Decomposition Sebastian Reichelt Jan Stoess Frank Bellosa System Architecture Group, University of Karlsruhe, Germany freichelt,stoess,[email protected] ABSTRACT from the microkernel APIs in existence. The need, for in- Microkernel-based operating systems typically require spe- stance, to explicitly pass messages between servers, or the cial attention to issues that otherwise arise only in dis- need to set up threads and address spaces in every server for tributed systems. The resulting extra code degrades per- parallelism or protection require OS developers to adopt the formance and increases development effort, severely limiting mindset of a distributed-system programmer rather than to decomposition granularity. take advantage of their knowledge on traditional OS design. We present a new microkernel design that enables OS devel- Distributed-system paradigms, though well-understood and opers to decompose systems into very fine-grained servers. suited for physically (and, thus, coarsely) partitioned sys- We avoid the typical obstacles by defining servers as light- tems, present obstacles to the fine-grained decomposition weight, passive objects. We replace complex IPC mecha- required to exploit the benefits of microkernels: First, a nisms by a simple function-call approach, and our passive, lot of development effort must be spent into matching the module-like server model obviates the need to create threads OS structure to the architecture of the selected microkernel, in every server. Server code is compiled into small self- which also hinders porting existing code from monolithic sys- contained files, which can be loaded into the same address tems. Second, the more servers exist | a desired property space (for speed) or different address spaces (for safety). -
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. -
UG1046 Ultrafast Embedded Design Methodology Guide
UltraFast Embedded Design Methodology Guide UG1046 (v2.3) April 20, 2018 Revision History The following table shows the revision history for this document. Date Version Revision 04/20/2018 2.3 • Added a note in the Overview section of Chapter 5. • Replaced BFM terminology with VIP across the user guide. 07/27/2017 2.2 • Vivado IDE updates and minor editorial changes. 04/22/2015 2.1 • Added Embedded Design Methodology Checklist. • Added Accessing Documentation and Training. 03/26/2015 2.0 • Added SDSoC Environment. • Added Related Design Hubs. 10/20/2014 1.1 • Removed outdated information. •In System Level Considerations, added information to the following sections: ° Performance ° Clocking and Reset 10/08/2014 1.0 Initial Release of document. UltraFast Embedded Design Methodology Guide Send Feedback 2 UG1046 (v2.3) April 20, 2018 www.xilinx.com Table of Contents Chapter 1: Introduction Embedded Design Methodology Checklist. 9 Accessing Documentation and Training . 10 Chapter 2: System Level Considerations Performance. 13 Power Consumption . 18 Clocking and Reset. 36 Interrupts . 41 Embedded Device Security . 45 Profiling and Partitioning . 51 Chapter 3: Hardware Design Considerations Configuration and Boot Devices . 63 Memory Interfaces . 69 Peripherals . 76 Designing IP Blocks . 94 Hardware Performance Considerations . 102 Dataflow . 108 PL Clocking Methodology . 112 ACP and Cache Coherency. 116 PL High-Performance Port Access. 120 System Management Hardware Assistance. 124 Managing Hardware Reconfiguration . 127 GPs and Direct PL Access from APU . 133 Chapter 4: Software Design Considerations Processor Configuration . 137 OS and RTOS Choices . 142 Libraries and Middleware . 152 Boot Loaders . 156 Software Development Tools . 162 UltraFast Embedded Design Methodology GuideSend Feedback 3 UG1046 (v2.3) April 20, 2018 www.xilinx.com Chapter 5: Hardware Design Flow Overview . -
Improving the Reliability of Commodity Operating Systems
Improving the Reliability of Commodity Operating Systems MICHAEL M. SWIFT, BRIAN N. BERSHAD, and HENRY M. LEVY University of Washington Despite decades of research in extensible operating system technology, extensions such as device drivers remain a significant cause of system failures. In Windows XP, for example, drivers account for 85% of recently reported failures. This paper describes Nooks, a reliability subsystem that seeks to greatly enhance OS reliability by isolating the OS from driver failures. The Nooks approach is practical: rather than guaranteeing complete fault tolerance through a new (and incompatible) OS or driver architecture, our goal is to prevent the vast majority of driver-caused crashes with little or no change to existing driver and system code. Nooks isolates drivers within lightweight protection domains inside the kernel address space, where hardware and software prevent them from corrupting the kernel. Nooks also tracks a driver’s use of kernel resources to facilitate automatic clean-up during recovery. To prove the viability of our approach, we implemented Nooks in the Linux operating system and used it to fault-isolate several device drivers. Our results show that Nooks offers a substantial increase in the reliability of operating systems, catching and quickly recovering from many faults that would otherwise crash the system. Under a wide range and number of fault conditions, we show that Nooks recovers automatically from 99% of the faults that otherwise cause Linux to crash. While Nooks was designed for drivers, our techniques generalize to other kernel extensions. We demonstrate this by isolating a kernel-mode file system and an in-kernel Internet service. -
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. -
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 -
Run-Time Reconfigurable RTOS for Reconfigurable Systems-On-Chip
Run-time Reconfigurable RTOS for Reconfigurable Systems-on-Chip Dissertation A thesis submited to the Faculty of Computer Science, Electrical Engineering and Mathematics of the University of Paderborn and to the Graduate Program in Electrical Engineering (PPGEE) of the Federal University of Rio Grande do Sul in partial fulfillment of the requirements for the degree of Dr. rer. nat. and Dr. in Electrical Engineering Marcelo G¨otz November, 2007 Supervisors: Prof. Dr. rer. nat. Franz J. Rammig, University of Paderborn, Germany Prof. Dr.-Ing. Carlos E. Pereira, Federal University of Rio Grande do Sul, Brazil Public examination in Paderborn, Germany Additional members of examination committee: Prof. Dr. Marco Platzner Prof. Dr. Urlich R¨uckert Dr. Mario Porrmann Date: April 23, 2007 Public examination in Porto Alegre, Brazil Additional members of examination committee: Prof. Dr. Fl´avioRech Wagner Prof. Dr. Luigi Carro Prof. Dr. Altamiro Amadeu Susin Prof. Dr. Leandro Buss Becker Prof. Dr. Fernando Gehm Moraes Date: October 11, 2007 Acknowledgements This PhD thesis was carried out, in his great majority, at the Department of Computer Science, Electrical Engineering and Mathematics of the University of Paderborn, during my time as a fellow of the working group of Prof. Dr. Franz J. Rammig. Due to a formal agreement between Federal University of Rio Grande do Sul (UFRGS) and University of Paderborn, I had the opportunity to receive a bi-national doctoral degree. Therefore, I had to accomplished, in addition, the PhD Graduate Program in Electrical Engineering of UFRGS. So, I hereby acknowledge, without mention everyone personally, all persons involved in making this agreement possible. -
Introduction
1 INTRODUCTION A modern computer consists of one or more processors, some main memory, disks, printers, a keyboard, a mouse, a display, network interfaces, and various other input/output devices. All in all, a complex system.oo If every application pro- grammer had to understand how all these things work in detail, no code would ever get written. Furthermore, managing all these components and using them optimally is an exceedingly challenging job. For this reason, computers are equipped with a layer of software called the operating system, whose job is to provide user pro- grams with a better, simpler, cleaner, model of the computer and to handle manag- ing all the resources just mentioned. Operating systems are the subject of this book. Most readers will have had some experience with an operating system such as Windows, Linux, FreeBSD, or OS X, but appearances can be deceiving. The pro- gram that users interact with, usually called the shell when it is text based and the GUI (Graphical User Interface)—which is pronounced ‘‘gooey’’—when it uses icons, is actually not part of the operating system, although it uses the operating system to get its work done. A simple overview of the main components under discussion here is given in Fig. 1-1. Here we see the hardware at the bottom. The hardware consists of chips, boards, disks, a keyboard, a monitor, and similar physical objects. On top of the hardware is the software. Most computers have two modes of operation: kernel mode and user mode. The operating system, the most fundamental piece of soft- ware, runs in kernel mode (also called supervisor mode). -
Sel4: Formal Verification of an Operating-System Kernel
seL4: Formal Verification of an Operating-System Kernel Gerwin Klein1;2, June Andronick1;2, Kevin Elphinstone1;2, Gernot Heiser1;2;3 1 1 1;2 1;2 David Cock , Philip Derrin ∗, Dhammika Elkaduwe ,z Kai Engelhardt 1;2 1;4 1 1;2 1;2 Rafal Kolanski , Michael Norrish , Thomas Sewell , Harvey Tuch y, Simon Winwood 1 NICTA, 2 UNSW, 3 Open Kernel Labs, 4 ANU [email protected] ABSTRACT We report on the formal, machine-checked verification of the seL4 microkernel from an abstract specification down to its C implementation. We assume correctness of compiler, assembly code, hardware, and boot code. seL4 is a third-generation microkernel of L4 provenance, comprising 8,700 lines of C and 600 lines of assembler. Its performance is comparable to other high-performance L4 kernels. We prove that the implementation always strictly follows our high-level abstract specification of kernel behaviour. This encompasses traditional design and implementation safety properties such as that the kernel will never crash, and it will never perform an unsafe operation. It also implies much more: we can predict precisely how the kernel will behave in every possible situation. 1. INTRODUCTION Almost every paper on formal verification starts with the observation that software complexity is increasing, that this Figure 1: Call graph of the seL4 microkernel. Ver- leads to errors, and that this is a problem for mission and tices represent functions, and edges invocations. safety critical software. We agree, as do most. Here, we report on the full formal verification of a critical system from a high-level model down to very low-level C kernel, and every single bug can potentially cause arbitrary code. -
Operating System Support for Run-Time Security with a Trusted Execution Environment
Operating System Support for Run-Time Security with a Trusted Execution Environment - Usage Control and Trusted Storage for Linux-based Systems - by Javier Gonz´alez Ph.D Thesis IT University of Copenhagen Advisor: Philippe Bonnet Submitted: January 31, 2015 Last Revision: May 30, 2015 ITU DS-nummer: D-2015-107 ISSN: 1602-3536 ISBN: 978-87-7949-302-5 1 Contents Preface8 1 Introduction 10 1.1 Context....................................... 10 1.2 Problem....................................... 12 1.3 Approach...................................... 14 1.4 Contribution.................................... 15 1.5 Thesis Structure.................................. 16 I State of the Art 18 2 Trusted Execution Environments 20 2.1 Smart Cards.................................... 21 2.1.1 Secure Element............................... 23 2.2 Trusted Platform Module (TPM)......................... 23 2.3 Intel Security Extensions.............................. 26 2.3.1 Intel TXT.................................. 26 2.3.2 Intel SGX.................................. 27 2.4 ARM TrustZone.................................. 29 2.5 Other Techniques.................................. 32 2.5.1 Hardware Replication........................... 32 2.5.2 Hardware Virtualization.......................... 33 2.5.3 Only Software............................... 33 2.6 Discussion...................................... 33 3 Run-Time Security 36 3.1 Access and Usage Control............................. 36 3.2 Data Protection................................... 39 3.3 Reference -
Legacy Reuse
Faculty of Computer Science Institute for System Architecture, Operating Systems Group LEGACY REUSE CARSTEN WEINHOLD THIS LECTURE ... ■ So far ... ■ Basic microkernel concepts ■ Drivers, resource management ■ Today: ■ How to provide legacy OS personalities ■ How to reuse existing infrastructure ■ How to make applications happy TU Dresden Legacy Reuse 2 VIRTUALIZATION ■ Virtualization: ■ Reuse legacy OS + applications ■ Run applications in natural environment ■ Problem: Applications trapped in VMs ■ Different resource pools, namespaces ■ Cooperation is cumbersome (network, ...) ■ Full legacy OS in VM adds overhead ■ Multiple desktops? Bad user experience TU Dresden Legacy Reuse 3 MAKING THE CUT ■ Hardware level: Next week ■ Virtualize legacy OS on top of new OS ■ Operating System Personality: ■ Legacy OS interfaces reimplemented on top of – or ported to – new OS ■ Hybrid operating systems: Today ■ Run legacy OS virtualized … ■ … but tightly integrated with new OS TU Dresden Legacy Reuse 4 OPERATING SYSTEM PERSONALITIES TU Dresden Legacy Reuse 5 OS PERSONALITY ■ Idea: Adapt OS / application boundary ■ (Re-)Implement legacy APIs, not whole OS ■ May need to recompile application ■ Benefits: ■ Get desired application, established APIs ■ Good integration (namespaces, files, ...) ■ Smaller overhead than virtualization ■ Flexible, configurable, but more effort? TU Dresden Legacy Reuse 6 MONOLITHIC KERNELS App App Monolithic Kernel System Call Entry Ext2 VFAT IP Stack Disk Driver NIC Driver TU Dresden Legacy Reuse 7 DECOMPOSITION App App App App Monolithic -
Kernel Architectures
A short history of kernels n Early kernel: a library of device drivers, support for threads (QNX) Operating System Kernels n Monolithic kernels: Unix, VMS, OS 360… n Unstructured but fast… n Over time, became very large Ken Birman n Eventually, DLLs helped on size n Pure microkernels: Mach, Amoeba, Chorus… (borrowing some content from n OS as a kind of application Peter Sirokman) n Impure microkernels: Modern Windows OS n Microkernel optimized to support a single OS n VMM support for Unix on Windows and vice versa The great m-kernel debate Summary of First Paper n How big does it need to be? n The Performance of µ-Kernel-Based Systems (Hartig et al. 16th SOSP, Oct 1997) n With a m-kernel protection-boundary crossing forces us to n Evaluates the L4 microkernel as a basis for a full operating system n Change memory -map n Ports Linux to run on top of L4 and compares n Flush TLB (unless tagged) performance to native Linux and Linux running on n With a macro-kernel we lose structural the Mach microkernel protection benefits and fault-containment n Explores the extensibility of the L4 microkernel n Debate raged during early 1980’s Summary of Second Paper In perspective? n The Flux OSKit: A Substrate for Kernel and n L4 seeks to validate idea that a m-kernel Language Research (Ford et al. 16th SOSP, can support a full OS without terrible 1997) cost penalty n Describes a set of OS components designed to be used to build custom operating systems n Opened the door to architectures like the n Includes existing code simply using “glue code” Windows