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Open Source Used in Influx1.8 Influx 1.9
Open Source Used In Influx1.8 Influx 1.9 Cisco Systems, Inc. www.cisco.com Cisco has more than 200 offices worldwide. Addresses, phone numbers, and fax numbers are listed on the Cisco website at www.cisco.com/go/offices. Text Part Number: 78EE117C99-1178791953 Open Source Used In Influx1.8 Influx 1.9 1 This document contains licenses and notices for open source software used in this product. With respect to the free/open source software listed in this document, if you have any questions or wish to receive a copy of any source code to which you may be entitled under the applicable free/open source license(s) (such as the GNU Lesser/General Public License), please contact us at [email protected]. In your requests please include the following reference number 78EE117C99-1178791953 Contents 1.1 golang-protobuf-extensions v1.0.1 1.1.1 Available under license 1.2 prometheus-client v0.2.0 1.2.1 Available under license 1.3 gopkg.in-asn1-ber v1.0.0-20170511165959-379148ca0225 1.3.1 Available under license 1.4 influxdata-raft-boltdb v0.0.0-20210323121340-465fcd3eb4d8 1.4.1 Available under license 1.5 fwd v1.1.1 1.5.1 Available under license 1.6 jaeger-client-go v2.23.0+incompatible 1.6.1 Available under license 1.7 golang-genproto v0.0.0-20210122163508-8081c04a3579 1.7.1 Available under license 1.8 influxdata-roaring v0.4.13-0.20180809181101-fc520f41fab6 1.8.1 Available under license 1.9 influxdata-flux v0.113.0 1.9.1 Available under license 1.10 apache-arrow-go-arrow v0.0.0-20200923215132-ac86123a3f01 1.10.1 Available under -
Buildbot Documentation Release 1.6.0
Buildbot Documentation Release 1.6.0 Brian Warner Nov 17, 2018 Contents 1 Buildbot Tutorial 3 1.1 First Run.................................................3 1.2 First Buildbot run with Docker......................................6 1.3 A Quick Tour...............................................9 1.4 Further Reading............................................. 17 2 Buildbot Manual 23 2.1 Introduction............................................... 23 2.2 Installation................................................ 29 2.3 Concepts................................................. 41 2.4 Secret Management........................................... 50 2.5 Configuration............................................... 53 2.6 Customization.............................................. 251 2.7 Command-line Tool........................................... 278 2.8 Resources................................................. 289 2.9 Optimization............................................... 289 2.10 Plugin Infrastructure in Buildbot..................................... 289 2.11 Deployment............................................... 290 2.12 Upgrading................................................ 292 3 Buildbot Development 305 3.1 Development Quick-start......................................... 305 3.2 General Documents........................................... 307 3.3 APIs................................................... 391 3.4 Python3 compatibility.......................................... 484 3.5 Classes................................................. -
Gerrit J.J. Van Den Burg, Phd London, UK | Email: [email protected] | Web: Gertjanvandenburg.Com
Gerrit J.J. van den Burg, PhD London, UK | Email: [email protected] | Web: gertjanvandenburg.com Summary I am a research scientist with a PhD in machine learning and 8+ years of experience in academic research. I am currently looking to transition to industry to work on complex, large-scale problems that can have a positive real-world impact. I have extensive experience with machine learning modeling, algorithm design, and software engineering in Python, C, and R. My goal is to use my expertise and technical skills to address ongoing research challenges in machine learning and AI. Research Experience Postdoctoral Researcher — The Alan Turing Institute, UK 2018–2021 • Introduced a memorization score for probabilistic deep generative models and showed that neural networks can remember part of their input data, which has important implications for data privacy • Created a method for structure detection in textual data files that improved on the Python builtin method by 21%. Developed this into a Python package that has received over 600,000 downloads • Developed a robust Bayesian matrix factorization algorithm for time series modeling and forecasting that improved imputation error up to 60% while maintaining competitive runtime • Established the first benchmark dataset for change point detection on general real-world time series and determined the best performing methods, with consequences for research and practice • Collaborated with other researchers to design a unified interface for AI-powered data cleaning tools Doctoral Researcher -
Linux Boot Loaders Compared
Linux Boot Loaders Compared L.C. Benschop May 29, 2003 Copyright c 2002, 2003, L.C. Benschop, Eindhoven, The Netherlands. Per- mission is granted to make verbatim copies of this document. This is version 1.1 which has some minor corrections. Contents 1 introduction 2 2 How Boot Loaders Work 3 2.1 What BIOS does for us . 3 2.2 Parts of a boot loader . 6 2.2.1 boot sector program . 6 2.2.2 second stage of boot loader . 7 2.2.3 Boot loader installer . 8 2.3 Loading the operating system . 8 2.3.1 Loading the Linux kernel . 8 2.3.2 Chain loading . 10 2.4 Configuring the boot loader . 10 3 Example Installations 11 3.1 Example root file system and kernel . 11 3.2 Linux Boot Sector . 11 3.3 LILO . 14 3.4 GNU GRUB . 15 3.5 SYSLINUX . 18 3.6 LOADLIN . 19 3.7 Where Can Boot Loaders Live . 21 1 4 RAM Disks 22 4.1 Living without a RAM disk . 22 4.2 RAM disk devices . 23 4.3 Loading a RAM disk at boot time . 24 4.4 The initial RAM disk . 24 5 Making Diskette Images without Diskettes 25 6 Hard Disk Installation 26 7 CD-ROM Installation 29 8 Conclusions 31 1 introduction If you use Linux on a production system, you will only see it a few times a year. If you are a hobbyist who compiles many kernels or who uses many operating systems, you may see it several times per day. -
GNU MP the GNU Multiple Precision Arithmetic Library Edition 6.2.1 14 November 2020
GNU MP The GNU Multiple Precision Arithmetic Library Edition 6.2.1 14 November 2020 by Torbj¨ornGranlund and the GMP development team This manual describes how to install and use the GNU multiple precision arithmetic library, version 6.2.1. Copyright 1991, 1993-2016, 2018-2020 Free Software Foundation, Inc. Permission is granted to copy, distribute and/or modify this document under the terms of the GNU Free Documentation License, Version 1.3 or any later version published by the Free Software Foundation; with no Invariant Sections, with the Front-Cover Texts being \A GNU Manual", and with the Back-Cover Texts being \You have freedom to copy and modify this GNU Manual, like GNU software". A copy of the license is included in Appendix C [GNU Free Documentation License], page 132. i Table of Contents GNU MP Copying Conditions :::::::::::::::::::::::::::::::::::: 1 1 Introduction to GNU MP ::::::::::::::::::::::::::::::::::::: 2 1.1 How to use this Manual :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 2 2 Installing GMP ::::::::::::::::::::::::::::::::::::::::::::::::: 3 2.1 Build Options:::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 3 2.2 ABI and ISA :::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 8 2.3 Notes for Package Builds:::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 11 2.4 Notes for Particular Systems :::::::::::::::::::::::::::::::::::::::::::::::::::::: 12 2.5 Known Build Problems ::::::::::::::::::::::::::::::::::::::::::::::::::::::::::: 14 2.6 Performance -
Introduction to X86 Assembly
CS342 Computer Security Handout # 5 Prof. Lyn Turbak Monday, Oct. 04, 2010 Wellesley College Lab 4: Introduction to x86 Assembly Reading: Hacking, 0x250, 0x270 Overview Today, we continue to cover low-level programming details that are essential for understanding software vulnerabilities like buffer overflow attacks and format string exploits. You will get exposure to the following: • Understanding conventions used by compiler to translate high-level programs to low-level assembly code (in our case, using Gnu C Compiler (gcc) to compile C programs). • The ability to read low-level assembly code (in our case, Intel x86). • Understanding how assembly code instructions are represented as machine code. • Being able to use gdb (the Gnu Debugger) to read the low-level code produced by gcc and understand its execution. In tutorials based on this handout, we will learn about all of the above in the context of some simple examples. Intel x86 Assembly Language Since Intel x86 processors are ubiquitous, it is helpful to know how to read assembly code for these processors. We will use the following terms: byte refers to 8-bit quantities; short word refers to 16-bit quantities; word refers to 32-bit quantities; and long word refers to 64-bit quantities. There are many registers, but we mostly care about the following: • EAX, EBX, ECX, EDX are 32-bit registers used for general storage. • ESI and EDI are 32-bit indexing registers that are sometimes used for general storage. • ESP is the 32-bit register for the stack pointer, which holds the address of the element currently at the top of the stack. -
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT
QUARTERLY CHECK-IN Technology (Services) TECH GOAL QUADRANT C Features that we build to improve our technology A Foundation level goals offering B Features we build for others D Modernization, renewal and tech debt goals The goals in each team pack are annotated using this scheme illustrate the broad trends in our priorities Agenda ● CTO Team ● Research and Data ● Design Research ● Performance ● Release Engineering ● Security ● Technical Operations Photos (left to right) Technology (Services) CTO July 2017 quarterly check-in All content is © Wikimedia Foundation & available under CC BY-SA 4.0, unless noted otherwise. CTO Team ● Victoria Coleman - Chief Technology Officer ● Joel Aufrecht - Program Manager (Technology) ● Lani Goto - Project Assistant ● Megan Neisler - Senior Project Coordinator ● Sarah Rodlund - Senior Project Coordinator ● Kevin Smith - Program Manager (Engineering) Photos (left to right) CHECK IN TEAM/DEPT PROGRAM WIKIMEDIA FOUNDATION July 2017 CTO 4.5 [LINK] ANNUAL PLAN GOAL: expand and strengthen our technical communities What is your objective / Who are you working with? What impact / deliverables are you expecting? workflow? Program 4: Technical LAST QUARTER community building (none) Outcome 5: Organize Wikimedia Developer Summit NEXT QUARTER Objective 1: Developer Technical Collaboration Decide on event location, dates, theme, deadlines, etc. Summit web page and publicize the information published four months before the event (B) STATUS: OBJECTIVE IN PROGRESS Technology (Services) Research and Data July, 2017 quarterly -
VES Home Welcome to the VNF Event Stream (VES) Project Home
VES Home Welcome to the VNF Event Stream (VES) Project Home This project was approved May 31, 2016 based upon the VNF Event Stream project proposal. In the meantime the project evolved and VES is not only used by VNF but also by PNF (physical network functions). However, the term "VES" is established and will be kept. Next to OPNFV and ONAP also O-RAN, O-RAN-SC and 3GPP are using VES. The term "xNF" refers to the combination of virtual network functions and physical network functions. Project description: Objective: This project will develop OPNFV platform support for VNF and PNF event streams, in a common model and format intended for use by Service Providers (SPs), e.g. in managing xNF health and lifecycle. The project’s goal is to enable a significant reduction in the effort to develop and integrate xNF telemetry-related data into automated xNF management systems, by promoting convergence toward a common event stream format and collection system. The VES doc source, code, and tests are available at: OPNFV github (generally updated with 30 minutes of merged commits) OPNFV gitweb To clone from the OPNFV repo, see the instructions at the Gerrit project page Powerpoint intro to the project: OPNVF VES.pptx. A demo of the project (vHello_VES Demo) was first presented at OpenStack Barcelona (2016), and updated for the OPNFV Summit 2017 (VES ONAP demo - see below for more info). The following diagram illustrates the concept and scope for the VES project, which includes: From ONAP a Common Event Data Model for the “VNF Event Stream”, with report "domains" covering e.g. -
ECE 598 – Advanced Operating Systems Lecture 2
ECE 598 { Advanced Operating Systems Lecture 2 Vince Weaver http://www.eece.maine.edu/~vweaver [email protected] 15 January 2015 Announcements • Update on room situation (shouldn't be locked anymore, but not much chance of getting a better room) 1 Building Linux by Hand • Check out with git or download tarball: git clone git://git.kernel.org/pub/scm/linux/kernel/git/torvalds/linux.git http://www.kernel.org/pub/linux/kernel/v3.x/ • Configure. make config or make menuconfig Also can copy existing .config and run make oldconfig • Compile. 2 make What does make -j 8 do differently? • Make the modules. make modules • sudo make modules install • copy bzImage to boot, update boot loader 3 Building Linux Automated • If in a distro there are other commands to building a package. • For example on Debian make-kpkg --initrd --rootcmd fakeroot kernel image • Then dpkg -i to install; easier to track 4 Overhead (i.e. why not to do it natively on a Pi) • Size { clean git source tree (x86) 1.8GB, compiled with kernel, 2.5GB, compiled kernel with debug features (x86), 12GB!!! Tarball version with compiled kernel (ARM) 1.5GB • Time to compile { minutes (on fast multicore x86 machine) to hours (18 hours or so on Pi) 5 Linux on the Pi • Mainline kernel, bcm2835 tree Missing some features • Raspberry-pi foundation bcm2708 tree More complete, not upstream 6 Compiling { how does it work? • Take C-code • Turn into assembler • Run assembler to make object (machine language files). Final addresses not necessarily put into place • Run linker (which uses linker script) • Makes some sort of executable. -
Metrics for Gerrit Code Reviews
SPLST'15 Metrics for Gerrit code reviews Samuel Lehtonen and Timo Poranen University of Tampere, School of Information Sciences, Tampere, Finland [email protected],[email protected] Abstract. Code reviews are a widely accepted best practice in mod- ern software development. To enable easier and more agile code reviews, tools like Gerrit have been developed. Gerrit provides a framework for conducting reviews online, with no need for meetings or mailing lists. However, even with the help of tools like Gerrit, following and monitoring the review process becomes increasingly hard, when tens or even hun- dreds of code changes are uploaded daily. To make monitoring the review process easier, we propose a set of metrics to be used with Gerrit code review. The focus is on providing an insight to velocity and quality of code reviews, by measuring different review activities based on data, au- tomatically extracted from Gerrit. When automated, the measurements enable easy monitoring of code reviews, which help in establishing new best practices and improved review process. Keywords: Code quality; Code reviews; Gerrit; Metrics; 1 Introduction Code reviews are a widely used quality assurance practice in software engineer- ing, where developers read and assess each other's code before it is integrated into the codebase or deployed into production. Main motivations for reviews are to detect software defects and to improve code quality while sharing knowledge among developers. Reviews were originally introduced by Fagan [4] already in 1970's. The original, formal type of code inspections are still used in many com- panies, but has been often replaced with more modern types of reviews, where the review is not tied to place or time. -
IT Acronyms.Docx
List of computing and IT abbreviations /.—Slashdot 1GL—First-Generation Programming Language 1NF—First Normal Form 10B2—10BASE-2 10B5—10BASE-5 10B-F—10BASE-F 10B-FB—10BASE-FB 10B-FL—10BASE-FL 10B-FP—10BASE-FP 10B-T—10BASE-T 100B-FX—100BASE-FX 100B-T—100BASE-T 100B-TX—100BASE-TX 100BVG—100BASE-VG 286—Intel 80286 processor 2B1Q—2 Binary 1 Quaternary 2GL—Second-Generation Programming Language 2NF—Second Normal Form 3GL—Third-Generation Programming Language 3NF—Third Normal Form 386—Intel 80386 processor 1 486—Intel 80486 processor 4B5BLF—4 Byte 5 Byte Local Fiber 4GL—Fourth-Generation Programming Language 4NF—Fourth Normal Form 5GL—Fifth-Generation Programming Language 5NF—Fifth Normal Form 6NF—Sixth Normal Form 8B10BLF—8 Byte 10 Byte Local Fiber A AAT—Average Access Time AA—Anti-Aliasing AAA—Authentication Authorization, Accounting AABB—Axis Aligned Bounding Box AAC—Advanced Audio Coding AAL—ATM Adaptation Layer AALC—ATM Adaptation Layer Connection AARP—AppleTalk Address Resolution Protocol ABCL—Actor-Based Concurrent Language ABI—Application Binary Interface ABM—Asynchronous Balanced Mode ABR—Area Border Router ABR—Auto Baud-Rate detection ABR—Available Bitrate 2 ABR—Average Bitrate AC—Acoustic Coupler AC—Alternating Current ACD—Automatic Call Distributor ACE—Advanced Computing Environment ACF NCP—Advanced Communications Function—Network Control Program ACID—Atomicity Consistency Isolation Durability ACK—ACKnowledgement ACK—Amsterdam Compiler Kit ACL—Access Control List ACL—Active Current -
CS 331 GDB and X86-64 Assembly Language
CS 331 Spring 2016 GDB and x86-64 Assembly Language I am not a big fan of debuggers for high-level languages. While they are undeniably useful at times, they are no substitute for careful coding. If code is well structured, I usually find it easier to debug analytically (i.e, by staring at it) than by running it through a debugger. In any event, monkey-coding with a debugger is still monkey-coding, and I don’t want to fly in an airplane being guided by monkey-code. The situation in assembly language is quite different. Assembly instructions can be opaque, especially if you aren’t used to programming in assembly language. In addition, I/O at the assembly level is quite complex; printing values at various places in your code is often not an option.. Debuggers are frequently the only way to discover what your code is actually doing. There are nicer assemblers than the gas (gnu assembler) that we will use, but the gas-gdb combination works quite well and is easy to use. In this document we’ll go briefly through the essential commands for gdb. There is more complete documentation available on any of the Linux systems; just type info gdb And, of course, there is no end of documentation online. To assemble your program with hooks for gdb use the hyphen g flag. For example, if your assembly language program is foobar.s you would assemble it wth gcc foobar.s –g –o foobar and then run gdp with gdb foobar You should always have the program visible in an editor that includes line numbers while you run gdb.