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Pete's All Things Sun (PATS): the State Of
We are in the midst of a file sys - tem revolution, and it is called ZFS. File sys- p e t e R B a e R G a Lv i n tem revolutions do not happen very often, so when they do, excitement ensues— Pete’s all things maybe not as much excitement as during a political revolution, but file system revolu- Sun (PATS): the tions are certainly exciting for geeks. What are the signs that we are in a revolution? By state of ZFS my definition, a revolution starts when the Peter Baer Galvin (www.galvin.info) is the Chief peasants (we sysadmins) are unhappy with Technologist for Corporate Technologies, a premier the status quo, some group comes up with systems integrator and VAR (www.cptech.com). Be- fore that, Peter was the systems manager for Brown a better idea, and the idea spreads beyond University’s Computer Science Department. He has written articles and columns for many publications that group and takes on a life of its own. Of and is coauthor of the Operating Systems Concepts course, in a successful revolution the new and Applied Operating Systems Concepts textbooks. As a consultant and trainer, Peter teaches tutorials idea actually takes hold and does improve and gives talks on security and system administra- tion worldwide. the peasant’s lot. [email protected] ;login: has had two previous articles about ZFS. The first, by Tom Haynes, provided an overview of ZFS in the context of building a home file server (;login:, vol. 31, no. 3). In the second, Dawidek and McKusick (;login:, vol. -
The Title Title: Subtitle March 2007
sub title The Title Title: Subtitle March 2007 Copyright c 2006-2007 BSD Certification Group, Inc. Permission to use, copy, modify, and distribute this documentation for any purpose with or without fee is hereby granted, provided that the above copyright notice and this permission notice appear in all copies. THE DOCUMENTATION IS PROVIDED "AS IS" AND THE AUTHOR DISCLAIMS ALL WARRANTIES WITH REGARD TO THIS DOCUMENTATION INCLUDING ALL IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS. IN NO EVENT SHALL THE AUTHOR BE LIABLE FOR ANY SPECIAL, DIRECT, INDIRECT, OR CON- SEQUENTIAL DAMAGES OR ANY DAMAGES WHATSOEVER RESULTING FROM LOSS OF USE, DATA OR PROFITS, WHETHER IN AN ACTION OF CONTRACT, NEG- LIGENCE OR OTHER TORTIOUS ACTION, ARISING OUT OF OR IN CONNECTION WITH THE USE OR PERFORMANCE OF THIS DOCUMENTATION. NetBSD and pkgsrc are registered trademarks of the NetBSD Foundation, Inc. FreeBSD is a registered trademark of the FreeBSD Foundation. Contents Introduction vii 1 Installing and Upgrading the OS and Software 1 1.1 Recognize the installation program used by each operating system . 2 1.2 Recognize which commands are available for upgrading the operating system 6 1.3 Understand the difference between a pre-compiled binary and compiling from source . 8 1.4 Understand when it is preferable to install a pre-compiled binary and how to doso ...................................... 9 1.5 Recognize the available methods for compiling a customized binary . 10 1.6 Determine what software is installed on a system . 11 1.7 Determine which software requires upgrading . 12 1.8 Upgrade installed software . 12 1.9 Determine which software have outstanding security advisories . -
Rtkaller: State-Aware Task Generation for RTOS Fuzzing
17 Rtkaller: State-aware Task Generation for RTOS Fuzzing YUHENG SHEN, HAO SUN, YU JIANG, HEYUAN SHI ∗, and YIXIAO YANG ∗, KLISS, BNRist, School of Software, Tsinghua University, China WANLI CHANG, Hunan University, China A real-time operating system (RTOS) is an operating system designed to meet certain real-time requirements. It is widely used in embedded applications, and its correctness is safety-critical. However, the validation of RTOS is challenging due to its complex real-time features and large code base. In this paper, we propose Rtkaller, a state-aware kernel fuzzer for the vulnerability detection in RTOS. First, Rtkaller implements an automatic task initialization to transform the syscall sequences into initial tasks with more real-time information. Then, a coverage-guided task mutation is designed to generate those tasks that explore more in-depth real-time related code for parallel execution. Moreover, Rtkaller realizes a task modification to correct those tasks that may hang during fuzzing. We evaluated it on recent versions of rt-Linux, which is one of the most widely used RTOS. Compared to the state-of-the-art kernel fuzzers Syzkaller and Moonshine, Rtkaller achieves the same code coverage at the speed of 1.7X and 1.6X , gains an increase of 26.1% and 22.0% branch coverage within 24 hours respectively. More importantly, Rtkaller has confirmed 28 previously unknown vulnerabilities that are missed by other fuzzers. CCS Concepts: • Security and privacy ! Virtualization and security; Domain-specific security and privacy architectures; Vulnerability scanners; • Computer systems organization ! Real-time operat- ing systems. Additional Key Words and Phrases: Fuzz Testing, RTOS, Vulnerability Detection, Task Generation ACM Reference Format: Yuheng Shen, Hao Sun, Yu Jiang, Heyuan Shi, Yixiao Yang, and Wanli Chang. -
Review Der Linux Kernel Sourcen Von 4.9 Auf 4.10
Review der Linux Kernel Sourcen von 4.9 auf 4.10 Reviewed by: Tested by: stecan stecan Period of Review: Period of Test: From: Thursday, 11 January 2018 07:26:18 o'clock +01: From: Thursday, 11 January 2018 07:26:18 o'clock +01: To: Thursday, 11 January 2018 07:44:27 o'clock +01: To: Thursday, 11 January 2018 07:44:27 o'clock +01: Report automatically generated with: LxrDifferenceTable, V0.9.2.548 Provided by: Certified by: Approved by: Account: stecan Name / Department: Date: Friday, 4 May 2018 13:43:07 o'clock CEST Signature: Review_4.10_0_to_1000.pdf Page 1 of 793 May 04, 2018 Review der Linux Kernel Sourcen von 4.9 auf 4.10 Line Link NR. Descriptions 1 .mailmap#0140 Repo: 9ebf73b275f0 Stephen Tue Jan 10 16:57:57 2017 -0800 Description: mailmap: add codeaurora.org names for nameless email commits ----------- Some codeaurora.org emails have crept in but the names don't exist for them. Add the names for the emails so git can match everyone up. Link: http://lkml.kernel.org/r/[email protected] 2 .mailmap#0154 3 .mailmap#0160 4 CREDITS#2481 Repo: 0c59d28121b9 Arnaldo Mon Feb 13 14:15:44 2017 -0300 Description: MAINTAINERS: Remove old e-mail address ----------- The ghostprotocols.net domain is not working, remove it from CREDITS and MAINTAINERS, and change the status to "Odd fixes", and since I haven't been maintaining those, remove my address from there. CREDITS: Remove outdated address information ----------- This address hasn't been accurate for several years now. -
Performance and Scalability of a Sensor Data Storage Framework
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Aaltodoc Publication Archive Aalto University School of Science Degree Programme in Computer Science and Engineering Paul Tötterman Performance and Scalability of a Sensor Data Storage Framework Master’s Thesis Helsinki, March 10, 2015 Supervisor: Associate Professor Keijo Heljanko Advisor: Lasse Rasinen M.Sc. (Tech.) Aalto University School of Science ABSTRACT OF Degree Programme in Computer Science and Engineering MASTER’S THESIS Author: Paul Tötterman Title: Performance and Scalability of a Sensor Data Storage Framework Date: March 10, 2015 Pages: 67 Major: Software Technology Code: T-110 Supervisor: Associate Professor Keijo Heljanko Advisor: Lasse Rasinen M.Sc. (Tech.) Modern artificial intelligence and machine learning applications build on analysis and training using large datasets. New research and development does not always start with existing big datasets, but accumulate data over time. The same storage solution does not necessarily cover the scale during the lifetime of the research, especially if scaling up from using common workgroup storage technologies. The storage infrastructure at ZenRobotics has grown using standard workgroup technologies. The current approach is starting to show its limits, while the storage growth is predicted to continue and accelerate. Successful capacity planning and expansion requires a better understanding of the patterns of the use of storage and its growth. We have examined the current storage architecture and stored data from different perspectives in order to gain a better understanding of the situation. By performing a number of experiments we determine key properties of the employed technologies. The combination of these factors allows us to make informed decisions about future storage solutions. -
Softraid Boot
softraid boot Stefan Sperling <[email protected]> EuroBSDcon 2015 Introduction to softraid OpenBSD's softraid(4) device emulates a host controller which provides a virtual SCSI bus uses disciplines to perform I/O on underlying disks: RAID 0, RAID 1, RAID 5, CRYPTO, CONCAT borrows the bioctl(8) configuration utility from the bio(4) hardware RAID abstraction layer softraid0 at root scsibus4 at softraid0: 256 targets sd9 at scsibus4 targ 1 lun 0: <OPENBSD, SR RAID 1, 005> SCSI2 0/direct fixed sd9: 1430796MB, 512 bytes/sector, 2930271472 sectors (RAID 1 softraid volume appearing as disk sd9) OpenBSD softraid boot 2/22 Introduction to softraid OpenBSD's softraid(4) device uses chunks (disklabel slices of type RAID) for storage records meta data at the start of each chunk: format version, UUID, volume ID, no. of chunks, chunk ID, RAID type and size, and other optional meta data # disklabel -pm sd2 [...] # size offset fstype [fsize bsize cpg] c: 1430799.4M 0 unused d: 1430796.9M 64 RAID # bioctl sd9 Volume Status Size Device softraid0 0 Online 1500298993664 sd9 RAID1 0 Online 1500298993664 0:0.0 noencl <sd2d> 1 Online 1500298993664 0:1.0 noencl <sd3d> (RAID 1 softraid volume using sd2d and sd3d for storage) OpenBSD softraid boot 3/22 Introduction to softraid softraid volumes can be assembled manually with bioctl(8) or automatically during boot softraid UUID ties volumes and chunks together disk device names and disklabel UUIDs are irrelevant when softraid volumes are auto-assembled volume IDs are used to attach volumes in a predictable order stable disk device names unless disks are added/removed chunk IDs make chunks appear in a predictable order important for e.g. -
OS7 User's Manual
OS7 User’s Manual N2810 Series/ N4810 Series/N5810 Series/ N4910U/N4910U PRO/N4820U N12850 Series/N16850 Series/ N8910/N12910/N12910SAS/N16910SAS Copyright and Trademark Notice Thecus and other names of Thecus products are registered trademarks of Thecus Technology Corp. Microsoft, Windows, and the Windows logo are registered trademarks of Microsoft Corporation. Apple, iTunes and Apple OS X are registered trademarks of Apple Computers, Inc. All other trademarks and brand names are the property of their respective owners. Specifications are subject to change without notice. Copyright © 2017 Thecus Technology Corporation. All rights reserved. About This Manual All information in this manual has been carefully verified to ensure its correctness. In case of an error, please provide us with your feedback. Thecus Technology Corporation reserves the right to modify the contents of this manual without notice. Product name: Thecus OS7.0 used models Manual Version: 1.5.1 Release Date: 2017/06 Limited Warranty Thecus Technology Corporation guarantees all components of Thecus NAS products are thoroughly tested before they leave the factory and should function normally under general usage. In case of any system malfunctions, Thecus Technology Corporation and its local representatives and dealers are responsible for repair without cost to the customer if the product fails within the warranty period and under normal usage. Thecus Technology Corporation is not responsible for any damage or loss of data deemed to be caused by its products. It is highly recommended that users conduct necessary back-up practices. Check the functions that are available on your particular Thecus NAS model at: http://www.Thecus.com 2 Safety Warnings For your safety, please read and follow the following safety warnings: ● Read this manual thoroughly before attempting to set up your Thecus IP storage. -
Computational Scalability of Large Size Image Dissemination
Computational Scalability of Large Size Image Dissemination Rob Kooper*a, Peter Bajcsya aNational Center for Super Computing Applications University of Illinois, 1205 W. Clark St., Urbana, IL 61801 ABSTRACT We have investigated the computational scalability of image pyramid building needed for dissemination of very large image data. The sources of large images include high resolution microscopes and telescopes, remote sensing and airborne imaging, and high resolution scanners. The term ‘large’ is understood from a user perspective which means either larger than a display size or larger than a memory/disk to hold the image data. The application drivers for our work are digitization projects such as the Lincoln Papers project (each image scan is about 100-150MB or about 5000x8000 pixels with the total number to be around 200,000) and the UIUC library scanning project for historical maps from 17th and 18th century (smaller number but larger images). The goal of our work is understand computational scalability of the web-based dissemination using image pyramids for these large image scans, as well as the preservation aspects of the data. We report our computational benchmarks for (a) building image pyramids to be disseminated using the Microsoft Seadragon library, (b) a computation execution approach using hyper-threading to generate image pyramids and to utilize the underlying hardware, and (c) an image pyramid preservation approach using various hard drive configurations of Redundant Array of Independent Disks (RAID) drives for input/output operations. The benchmarks are obtained with a map (334.61 MB, JPEG format, 17591x15014 pixels). The discussion combines the speed and preservation objectives. -
The Virtual Filesystem Interface in 4.4BSDI
The Virtual Filesystem Interface in 4.4BSDI Marshall Kirk McKusick Consultant and Author Berkeley, California ABSTRACT: This paper describes the virtual filesys- tem interface found in 4.4BSD. This interface is de- signed around an object oriented virtual file node or "vnode" data structure. The vnode structure is de- scribed along with its method for dynamically expand- ing its set of operations. These operations have been divided into two groups: those to manage the hierarchi- cal filesystem name space and those to manage the flat filestore. The translation of pathnames is described, as it requires a tight coupling between the virtual filesys- tem layer and the underþing filesystems through which the path traverses. This paper describes the filesystem services that are exported from the vnode interface to its clients, both local and remote. It also describes the set of services provided by the vnode layer to its client filesystems. The vnode interface has been generalized to allow multiple filesystems to be stacked together. After describing the stacking functionality, several examples of stacking filesystems are shown. t To appear in The Design and Implementation of the 4.4BSD Operating System, by Marshall Kirk McKusick, publisher. et al., @1995 by Addison-Wesley Publishing Companf Inc. Reprinted with the permission of the o 1995 The USENIX Association, Computing Systems, Vol. 8 ' No. 1 ' Winter 1995 I. The Virtual Filesystem Interface In early UNIX systems, the file entries directly referenced the local filesystem inode, see Figure I [Leffler et al. 1989]. This approach worked fine when there was a single filesystem implementation. However, with the advent of multþle filesystem types, the architecture had to be generalized. -
Getting Started with Openbsd Device Driver Development
Getting started with OpenBSD device driver development Stefan Sperling <[email protected]> EuroBSDcon 2017 Clarifications (1/2) Courtesy of Jonathan Gray (jsg@): We don't want source code to firmware We want to be able to redistribute firmware freely Vendor drivers are often poorly written, we need to be able to write our own We want documentation on the hardware interfaces Source code is not documentation OpenBSD Device Drivers 2/46 Clarifications (2/2) I would like to add: Device driver code runs in our kernel Firmware code runs on a peripheral device, not in our kernel When we say \Binary Blobs" we are talking about closed-source device drivers, not firmware Firmware often runs with high privileges; use at your own risk If you do not want closed-source firmware, then don't buy and use hardware which needs it We are software developers, we do not build hardware We will not sign NDAs Please talk to hardware vendors and advocate for change; the current situation is very bad for free software OpenBSD Device Drivers 3/46 This talk is for ... somewhat competent C programmers who use OpenBSD and would like to use a device which lacks support so have an itch to scratch (enhance or write a driver) but are not sure where to start perhaps are not sure how the development process works and will research all further details themselves The idea for this talk came about during conversations I had at EuroBSDcon 2016. Common question: "How do I add support for my laptop's wifi device?" OpenBSD Device Drivers 4/46 Itches I have scratched.. -
Of File Systems and Storage Models
Chapter 4 Of File Systems and Storage Models Disks are always full. It is futile to try to get more disk space. Data expands to fill any void. –Parkinson’sLawasappliedto disks 4.1 Introduction This chapter deals primarily with how we store data. Virtually all computer systems require some way to store data permanently; even so-called “diskless” systems do require access to certain files in order to boot, run and be useful. Albeit stored remotely (or in memory), these bits reside on some sort of storage system. Most frequently, data is stored on local hard disks, but over the last few years more and more of our files have moved “into the cloud”, where di↵erent providers o↵er easy access to large amounts of storage over the network. We have more and more computers depending on access to remote systems, shifting our traditional view of what constitutes a storage device. 74 CHAPTER 4. OF FILE SYSTEMS AND STORAGE MODELS 75 As system administrators, we are responsible for all kinds of devices: we build systems running entirely without local storage just as we maintain the massive enterprise storage arrays that enable decentralized data replication and archival. We manage large numbers of computers with their own hard drives, using a variety of technologies to maximize throughput before the data even gets onto a network. In order to be able to optimize our systems on this level, it is important for us to understand the principal concepts of how data is stored, the di↵erent storage models and disk interfaces.Itisimportanttobeawareofcertain physical properties of our storage media, and the impact they, as well as certain historic limitations, have on how we utilize disks. -
A Secure, Reliable and Performance-Enhancing Storage Architecture Integrating Local and Cloud-Based Storage
Brigham Young University BYU ScholarsArchive Theses and Dissertations 2016-12-01 A Secure, Reliable and Performance-Enhancing Storage Architecture Integrating Local and Cloud-Based Storage Christopher Glenn Hansen Brigham Young University Follow this and additional works at: https://scholarsarchive.byu.edu/etd Part of the Electrical and Computer Engineering Commons BYU ScholarsArchive Citation Hansen, Christopher Glenn, "A Secure, Reliable and Performance-Enhancing Storage Architecture Integrating Local and Cloud-Based Storage" (2016). Theses and Dissertations. 6470. https://scholarsarchive.byu.edu/etd/6470 This Thesis is brought to you for free and open access by BYU ScholarsArchive. It has been accepted for inclusion in Theses and Dissertations by an authorized administrator of BYU ScholarsArchive. For more information, please contact [email protected], [email protected]. A Secure, Reliable and Performance-Enhancing Storage Architecture Integrating Local and Cloud-Based Storage Christopher Glenn Hansen A thesis submitted to the faculty of Brigham Young University in partial fulfillment of the requirements for the degree of Master of Science James Archibald, Chair Doran Wilde Michael Wirthlin Department of Electrical and Computer Engineering Brigham Young University Copyright © 2016 Christopher Glenn Hansen All Rights Reserved ABSTRACT A Secure, Reliable and Performance-Enhancing Storage Architecture Integrating Local and Cloud-Based Storage Christopher Glenn Hansen Department of Electrical and Computer Engineering, BYU Master of Science The constant evolution of new varieties of computing systems - cloud computing, mobile devices, and Internet of Things, to name a few - have necessitated a growing need for highly reliable, available, secure, and high-performing storage systems. While CPU performance has typically scaled with Moore’s Law, data storage is much less consistent in how quickly perfor- mance increases over time.