Generating Function for Network Delay
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Program #6: Word Count
CSc 227 — Program Design and Development Spring 2014 (McCann) http://www.cs.arizona.edu/classes/cs227/spring14/ Program #6: Word Count Due Date: March 11 th, 2014, at 9:00 p.m. MST Overview: The UNIX operating system (and its variants, of which Linux is one) includes quite a few useful utility programs. One of those is wc, which is short for Word Count. The purpose of wc is to give users an easy way to determine the size of a text file in terms of the number of lines, words, and bytes it contains. (It can do a bit more, but that’s all of the functionality that we are concerned with for this assignment.) Counting lines is done by looking for “end of line” characters (\n (ASCII 10) for UNIX text files, or the pair \r\n (ASCII 13 and 10) for Windows/DOS text files). Counting words is also straight–forward: Any sequence of characters not interrupted by “whitespace” (spaces, tabs, end–of–line characters) is a word. Of course, whitespace characters are characters, and need to be counted as such. A problem with wc is that it generates a very minimal output format. Here’s an example of what wc produces on a Linux system when asked to count the content of a pair of files; we can do better! $ wc prog6a.dat prog6b.dat 2 6 38 prog6a.dat 32 321 1883 prog6b.dat 34 327 1921 total Assignment: Write a Java program (completely documented according to the class documentation guidelines, of course) that counts lines, words, and bytes (characters) of text files. -
Configuring UNIX-Specific Settings: Creating Symbolic Links : Snap
Configuring UNIX-specific settings: Creating symbolic links Snap Creator Framework NetApp September 23, 2021 This PDF was generated from https://docs.netapp.com/us-en/snap-creator- framework/installation/task_creating_symbolic_links_for_domino_plug_in_on_linux_and_solaris_hosts.ht ml on September 23, 2021. Always check docs.netapp.com for the latest. Table of Contents Configuring UNIX-specific settings: Creating symbolic links . 1 Creating symbolic links for the Domino plug-in on Linux and Solaris hosts. 1 Creating symbolic links for the Domino plug-in on AIX hosts. 2 Configuring UNIX-specific settings: Creating symbolic links If you are going to install the Snap Creator Agent on a UNIX operating system (AIX, Linux, and Solaris), for the IBM Domino plug-in to work properly, three symbolic links (symlinks) must be created to link to Domino’s shared object files. Installation procedures vary slightly depending on the operating system. Refer to the appropriate procedure for your operating system. Domino does not support the HP-UX operating system. Creating symbolic links for the Domino plug-in on Linux and Solaris hosts You need to perform this procedure if you want to create symbolic links for the Domino plug-in on Linux and Solaris hosts. You should not copy and paste commands directly from this document; errors (such as incorrectly transferred characters caused by line breaks and hard returns) might result. Copy and paste the commands into a text editor, verify the commands, and then enter them in the CLI console. The paths provided in the following steps refer to the 32-bit systems; 64-bit systems must create simlinks to /usr/lib64 instead of /usr/lib. -
COMP11 Lab 1: What the Diff?
COMP11 Lab 1: What the Diff? In this lab you will learn how to write programs that will pass our grading software with flying colors. Navigate into your COMP11 directory and download the starter code for this lab with the following command: pull-code11 lab01 (and then to see what you've got) cd lab01 ls You Do Like We Do (15 mins) There is nothing magical about how we test and grade your programs. We run your program, give it a preselected input, and check to see if its output matches our expectation. This process is repeated until we're convinced that your solution is fully functional. In this lab we will walk you through that process so that you can test your programs in the same way. Surely you recall running our encrypt demo program in Lab 0. Run this program again and specify the word \tufts" as the word to encrypt (recall that you must first enter \use comp11" if you have not added this command to your .cshrc profile). Nothing new here. But what if you wanted to do that again? What if you wanted to do it 100 more times? Having to type \tufts" during every single execution would get old fast. It would be great if you could automate the process of entering that input. Well good news: you can. It's called \redirecting". The basic concept here is simple: instead of manually entering input, you can save that input into a separate file and tell your program to read that file as if the user were entering its contents. -
Administering Unidata on UNIX Platforms
C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\ADMINUNIX\ADMINUNIXTITLE.fm March 5, 2010 1:34 pm Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta UniData Administering UniData on UNIX Platforms UDT-720-ADMU-1 C:\Program Files\Adobe\FrameMaker8\UniData 7.2\7.2rebranded\ADMINUNIX\ADMINUNIXTITLE.fm March 5, 2010 1:34 pm Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Beta Notices Edition Publication date: July, 2008 Book number: UDT-720-ADMU-1 Product version: UniData 7.2 Copyright © Rocket Software, Inc. 1988-2010. All Rights Reserved. Trademarks The following trademarks appear in this publication: Trademark Trademark Owner Rocket Software™ Rocket Software, Inc. Dynamic Connect® Rocket Software, Inc. RedBack® Rocket Software, Inc. SystemBuilder™ Rocket Software, Inc. UniData® Rocket Software, Inc. UniVerse™ Rocket Software, Inc. U2™ Rocket Software, Inc. U2.NET™ Rocket Software, Inc. U2 Web Development Environment™ Rocket Software, Inc. wIntegrate® Rocket Software, Inc. Microsoft® .NET Microsoft Corporation Microsoft® Office Excel®, Outlook®, Word Microsoft Corporation Windows® Microsoft Corporation Windows® 7 Microsoft Corporation Windows Vista® Microsoft Corporation Java™ and all Java-based trademarks and logos Sun Microsystems, Inc. UNIX® X/Open Company Limited ii SB/XA Getting Started The above trademarks are property of the specified companies in the United States, other countries, or both. All other products or services mentioned in this document may be covered by the trademarks, service marks, or product names as designated by the companies who own or market them. License agreement This software and the associated documentation are proprietary and confidential to Rocket Software, Inc., are furnished under license, and may be used and copied only in accordance with the terms of such license and with the inclusion of the copyright notice. -
Humidity Definitions
ROTRONIC TECHNICAL NOTE Humidity Definitions 1 Relative humidity Table of Contents Relative humidity is the ratio of two pressures: %RH = 100 x p/ps where p is 1 Relative humidity the actual partial pressure of the water vapor present in the ambient and ps 2 Dew point / Frost the saturation pressure of water at the temperature of the ambient. point temperature Relative humidity sensors are usually calibrated at normal room temper - 3 Wet bulb ature (above freezing). Consequently, it generally accepted that this type of sensor indicates relative humidity with respect to water at all temperatures temperature (including below freezing). 4 Vapor concentration Ice produces a lower vapor pressure than liquid water. Therefore, when 5 Specific humidity ice is present, saturation occurs at a relative humidity of less than 100 %. 6 Enthalpy For instance, a humidity reading of 75 %RH at a temperature of -30°C corre - 7 Mixing ratio sponds to saturation above ice. by weight 2 Dew point / Frost point temperature The dew point temperature of moist air at the temperature T, pressure P b and mixing ratio r is the temperature to which air must be cooled in order to be saturated with respect to water (liquid). The frost point temperature of moist air at temperature T, pressure P b and mixing ratio r is the temperature to which air must be cooled in order to be saturated with respect to ice. Magnus Formula for dew point (over water): Td = (243.12 x ln (pw/611.2)) / (17.62 - ln (pw/611.2)) Frost point (over ice): Tf = (272.62 x ln (pi/611.2)) / (22.46 - -
Classical Quotient Rings of Pwd's Robert Gordon
PROCEEDINGS of the AMERICAN MATHEMATICAL SOCIETY Volume 36, Number 1, November 1972 CLASSICAL QUOTIENT RINGS OF PWD'S ROBERT GORDON Abstract. Piecewise domains which are right orders in semi- primary rings are characterized. An example is given showing the result obtained is "best possible". A further example is obtained of a prime right Goldie ring possessing a regular element which becomes a left zero divisor in some prime overring. This example leads to the construction of a PWD R not satisfying the regularity con- dition, but for which R/N(R) is right Goldie. Introduction. The principle result of this note is a characterization of PWD's (piecewise domains) which are right orders in semiprimary rings. The main device employed here is L. W. Small's concept of exhaustive set. Probably the most important consequence of the characterization is that a right noetherian PWD is a right order in a right artinian PWD. In the more general setting our result is less satisfactory because an assumption is made about each of the factor rings R/T^R) (see the theorem in §1). However, an example given at the end of §1 shows that this is unavoidable: There we exhibit a right Goldie PWD R having R/N(R) right Goldie which is not a right order in a semiprimary ring. In §2, as a problem closely related to the existence of classical quotient rings, we study the regularity condition in PWD's. Necessary and sufficient conditions are obtained for a PWD R to satisfy the regularity condition in terms of the torsion-freeness of R as an RlN(R)-modu\e. -
Grundfos Ls Split Case Pumps 50Hz: 37-2240Kw / 60Hz: 75-2500Kw
GRUNDFOS LS SPLIT CASE PUMPS 50HZ: 37-2240KW / 60HZ: 75-2500KW GRUNDFOS LS SPLIT CASE PUMPS INCREASED PUMP PERFORMANCE AND SYSTEM EFFICIENCY LS SPLIT CASE PUMPS INTRODUCTION HIGH EFFICIENCY SPLIT-CASE PUMPS GRUNDFOS LS LONG-COUPLED, HORIZONTAL SPLIT-CASE, DOUBLE SUCTION PUMPS, ARE SINGLE-STAGE, NON-SELF-PRIMING, CENTRIFUGAL VOLUTE PUMPS. The LS pumps are designed especially for water utility applications and manufactured according to the highest Grundfos quality standards. These high efficiency pumps have a wide efficiency range and very low NPSHr, which ensures safe and economic operation even when the actual flow deviates from the designed duty point. APPLICATIONS WATER SUPPLY: Υ ě¤Ċ½ÿÑçĊ¤Þ½ Υ ě¤Ċ½ÿ²ííĄĊÑçÈ Υ ě¤Ċ½ÿĊÿ¤çĄùíÿĊ¤ĊÑíç Υ ²¤³Þ줥ÎÑçÈ IRRIGATION: Υ Çѽà¹ÑÿÿÑȤĊÑíçγÇàíí¹ÑçÈδ Υ ĄùÿÑçÞà½ÿÑÿÿÑȤĊÑíç QUALITY DESIGN AND VERSATILE Grundfos LS pumps are in-line design with a radial Double volute design suction port and radial discharge port. The flanges are The compensated double-volute design virtually in accordance with DIN standard. Pump performance eliminates radial forces on the shaft and ensures is in accordance with ISO9906 G2. smooth performance throughout the entire operating range. High efficiency LS pumps have a very high efficiency, not only at the Low NPSHr rated flow but also within a wide flow range. The NPSHr of the LS pumps at rated point is about 2m-5m pump retains high efficiency even when the actual and this fits most customer demands. In addition, flow deviates by +/-20% of rated flow. The feature Grundfos provides customised solutions for special enables the system to operate at high efficiency requirements. -
Hadoop Distributed File System (HDFS)
CHAPTER 1 Hadoop Distributed File System (HDFS) The Hadoop Distributed File System (HDFS) is a Java-based dis‐ tributed, scalable, and portable filesystem designed to span large clusters of commodity servers. The design of HDFS is based on GFS, the Google File System, which is described in a paper published by Google. Like many other distributed filesystems, HDFS holds a large amount of data and provides transparent access to many clients dis‐ tributed across a network. Where HDFS excels is in its ability to store very large files in a reliable and scalable manner. HDFS is designed to store a lot of information, typically petabytes (for very large files), gigabytes, and terabytes. This is accomplished by using a block-structured filesystem. Individual files are split into fixed-size blocks that are stored on machines across the cluster. Files made of several blocks generally do not have all of their blocks stored on a single machine. HDFS ensures reliability by replicating blocks and distributing the replicas across the cluster. The default replication factor is three, meaning that each block exists three times on the cluster. Block-level replication enables data availability even when machines fail. This chapter begins by introducing the core concepts of HDFS and explains how to interact with the filesystem using the native built-in commands. After a few examples, a Python client library is intro‐ duced that enables HDFS to be accessed programmatically from within Python applications. 1 Overview of HDFS The architectural design of HDFS is composed of two processes: a process known as the NameNode holds the metadata for the filesys‐ tem, and one or more DataNode processes store the blocks that make up the files. -
A Brief Introduction to Unix-2019-AMS
Brief Intro to Linux/Unix Brief Intro to Unix (contd) A Brief Introduction to o Brief History of Unix o Compilers, Email, Text processing o Basics of a Unix session o Image Processing Linux/Unix – AMS 2019 o The Unix File System Pete Pokrandt o Working with Files and Directories o The vi editor UW-Madison AOS Systems Administrator o Your Environment [email protected] o Common Commands Twitter @PTH1 History of Unix History of Unix History of Unix o Created in 1969 by Kenneth Thompson and Dennis o Today – two main variants, but blended o It’s been around for a long time Ritchie at AT&T o Revised in-house until first public release 1977 o System V (Sun Solaris, SGI, Dec OSF1, AIX, o It was written by computer programmers for o 1977 – UC-Berkeley – Berkeley Software Distribution (BSD) linux) computer programmers o 1983 – Sun Workstations produced a Unix Workstation o BSD (Old SunOS, linux, Mac OSX/MacOS) o Case sensitive, mostly lowercase o AT&T unix -> System V abbreviations 1 Basics of a Unix Login Session Basics of a Unix Login Session Basics of a Unix Login Session o The Shell – the command line interface, o Features provided by the shell o Logging in to a unix session where you enter commands, etc n Create an environment that meets your needs n login: username n Some common shells n Write shell scripts (batch files) n password: tImpAw$ n Define command aliases (this Is my password At work $) Bourne Shell (sh) OR n Manipulate command history IHateHaving2changeMypasswordevery3weeks!!! C Shell (csh) n Automatically complete the command -
Andv's Favorite Milk Oualitv Dairv Comp Commands Bulk Tank SCC
Andv's Favorite Milk Oualitv Dairv Comp Commands Bulk Tank SCC Contribution: Command: ECON Select 6 This gives you the contribution of each cow to the bulk tank SCC. I find in most herds, the top 1% high SCC cows usually contribute less than 20o/o of the total SCC. When you see the number go to 25o/o or higher. you know that high producing cows are the main contributors. You can see the effect of removins cows from the herd on the bulk tank SCC. General Herd Information Command: Sum milk dim scc lgscc prvlg logl drylg for milk>o lact>O by lctgp This gives you a quick summary of each lactation to review. It puts all factors on one page so you can determine areas of concern. Herd SCC Status: Command: Sum lgscc=4 lgscc=6 for lgscc>O by lctgp This gives you the status of the SCC of all cows on test by lactation group and by herd. It will show you the number and percentage of cows with SCC of 200,000 and less, the number and percentage of cows with SCC of 201,000 to 800,000 and the number and percentage of cows with SCC over 800,000. My goal is to have at least 80% of all animals in the herd under 200,000. I want at least 85% of first lactation animals, 80% of second lactation animals, andl5o/o of third/older lactation animals with SCC under 200,000. New Infection Rate: Command: Sum lgscc:4 prvlg:4 for lgscc>O prvlg>O by lctgp This command only compares cows that were tested last month to the same cows tested this month. -
Cygwin User's Guide
Cygwin User’s Guide Cygwin User’s Guide ii Copyright © Cygwin authors Permission is granted to make and distribute verbatim copies of this documentation provided the copyright notice and this per- mission notice are preserved on all copies. Permission is granted to copy and distribute modified versions of this documentation under the conditions for verbatim copying, provided that the entire resulting derived work is distributed under the terms of a permission notice identical to this one. Permission is granted to copy and distribute translations of this documentation into another language, under the above conditions for modified versions, except that this permission notice may be stated in a translation approved by the Free Software Foundation. Cygwin User’s Guide iii Contents 1 Cygwin Overview 1 1.1 What is it? . .1 1.2 Quick Start Guide for those more experienced with Windows . .1 1.3 Quick Start Guide for those more experienced with UNIX . .1 1.4 Are the Cygwin tools free software? . .2 1.5 A brief history of the Cygwin project . .2 1.6 Highlights of Cygwin Functionality . .3 1.6.1 Introduction . .3 1.6.2 Permissions and Security . .3 1.6.3 File Access . .3 1.6.4 Text Mode vs. Binary Mode . .4 1.6.5 ANSI C Library . .4 1.6.6 Process Creation . .5 1.6.6.1 Problems with process creation . .5 1.6.7 Signals . .6 1.6.8 Sockets . .6 1.6.9 Select . .7 1.7 What’s new and what changed in Cygwin . .7 1.7.1 What’s new and what changed in 3.2 . -
Μmachine Definitions
Machine/Code For the final part of the CS450 project, you are to complete a fully functional Pascal compiler. Since it would be impractical to have you generate assembly code for a real machine (with all the intricacies of the target machine), we have created a virtual machine that has been designed specifically for a Pascal compiler. The Machine (and is associated assembly language Code) greatly simplifies the task of code generation while still requiring you to handle many of the problems faced by other compiler writers. At this point in time, you should have written a scanner and parser for Pascal, should be working on the symbol table and should be thinking about semantic processing and code generation. The following information about the Machine and Code is provided to assist you in your design and implementation of the remaining parts of the Pascal compiler project: Machine Specification: The Machine is a virtual machine (simulated by a program) with the following hardware characteristics: Separate instruction space (for assembly code) and RAM (for data storage/retrieval) 10 general purpose registers (D0 - D9) Special stack pointer register (SP) The Machine is a stack-based machine; all memory is allocated/deallocated on the data stack residing in RAM: The data stack supports types: Integer, Float/Fixed, Strings. All data types have the same size of 1. The data stack grows upwards (starts at 0, pushes increment the SP, pops decrement the SP) Supported Data Types Integer: As defined in the Pascal tokens document. Size: 1. Float/Fixed: Numbers represented as floating point or fixed point are supported and have a size of 1.