PDF-Fallacies of Distributed Computing

Explained T he more things change the more they stay the same Arnon Rotem Gal Oz This whitepaper is based on a series of blog posts that first appeared in Dr Dobbs Portal wwwddjcomdepta. Uni processor computing can be called centralized computing brPage 3br mainframe computer workstation network host network link terminal centralized computing distributed computing A distributed system is a collection of independent computers interc Homework. Recommended Exercises. (. do the starred problems. ). 4.4.III. : 1-50. Remember. . How does each specific argument commit a fallacy of that . type. ? . . Where precisely is the offending element in the argument?. vs.. Relevance. Homework. Reading: pp. 145-152. Recommended Exercises. (. do at least the starred problems. ). 4.3.III. (of relevance & weak induction). 4.4.I . (of presumption & ambiguity). Computer Science Problems. in Distributed Computing. Douglas . Thain. , University of Notre Dame. Zakopane. , Poland, January 2012. The Cooperative Computing Lab. We . collaborate with people . who have large scale computing problems in science, engineering, and other fields.. Janani C Krishnamani. CSC 8320. Fall . 2011. Outline. Introduction. Architecture models. System architectures. Communication Network architectures. Examples. Future Ideas. Introduction. What are distributed systems? . TexPoint. fonts used in EMF. . Read the . TexPoint. manual before you delete this box.: . A. A. A. A. Companion slides . for. Distributed Computing. Through . Combinatorial Topology. Maurice . Herlihy . Set up a large number of machines all identically configured. Connect them to a high speed LAN. And to the Internet. Accept arbitrary jobs from remote users. Run each job on one or more nodes. Entire facility probably running mix of single machine and distributed jobs, simultaneously. Janani C Krishnamani. CSC 8320. Fall . 2011. Outline. Introduction. Architecture models. System architectures. Communication Network architectures. Examples. Future Ideas. Introduction. What are distributed systems? . Don’t Be Fooled by Bad Arguments (Part 2). Classification of Fallacies. Fallacies of Relevance:. Appeal to Force. Appeal to Pity. Appeal to the People. Ad Hominem. Accident. Straw man. Missing the Point. Prof. Nalini Venkatasubramanian. Distributed Systems Middleware - Lecture 2. Global Time & Global States of Distributed Systems. Asynchronous distributed systems consist of several . processes. without common memory which communicate (solely) via . Pointy things go in the outlet, right?. Oh, look! It’s human nonsense generator, Donald Trump!. TRUMP! Everybody is excited about me! Big crowds, big, big crowds… the polls…. TRUMP!!!!. Yeah… That really doesn’t make any sense… which reminds me that this is a good time to talk about logical fallacies!. Early Adopter: ASU - Intel Collaboration in Parallel and Distributed Computing Yinong Chen , Eric Kostelich , Yann -Hang Lee, Alex Mahalov , Gil Speyer, and Violet R. Syrotiuk 1 st NSF /TCPP Workshop on Parallel and Distributed Computing Education ( Informal Logic, Famous Fallacies Don’t Be Fooled by Bad Arguments First, what are arguments? Distinguish arguments from explanations: Arguments are the assertion of a conclusion from reasons that are better known than the conclusion. Prof. Nalini . Venkatasubramanian. . &. Prof. Yusuf . Sarwar. Dept. of Information & Computer Science. University of California, Irvine. Intro to Distributed Systems Middleware. 2. CS 237/. NetSys.