PPT-Distributed Systems

CS 15440 Consistency and Replication Part II Lecture 11 Oct 2 2013 Mohammad Hammoud Today Last Session Synchronization Mutual Exclusion and Election Algorithms Consistency and Replication Introduction. Lecture 1. Main Characteristics of Distributed Systems. Independent processors, sites, processes. Message passing. No shared memory. No shared clock. Independent failure modes. CS 271. 2. Distributed System Models. David Ríos. CSCI 6175. Fall 2011. Why are we going to spend 25 minutes on Condor?. Agenda. What is Condor?. Who can benefit from Condor?. Distributed Computer Concepts. Condor Design Philosophy. How Condor Works. Lecture 1. 1. Chapter 18 Distributed software engineering. Topics covered. Distributed systems issues . Client–server computing. Architectural patterns for distributed systems. Software as a service. Overview of . Distributed Systems. Andrew. . Tanenbaum. and Marten van Steen, . Distributed Systems – Principles and Paradigms. , Prentice Hall, c2002.. Outline. Overview. Goals. Software. Client Server. Chapter 2, Section 2.4. Josh Epps. josh.epps@gatech.edu. Chapter 2 Lecture Schedule. Parts of this Presentation. Part 1 - Basic knowledge from the Distributed Architecture Models Section from the text book. A Fault-Tolerant Abstraction for In-Memory Cluster Computing. Matei Zaharia, Mosharaf Chowdhury. , Tathagata Das, Ankur Dave, Justin Ma, Murphy McCauley, Michael J. Franklin, Scott Shenker, Ion Stoica. Prepared . by. Asma. . AlOtaibi. 200800689. Author & Published date. Jussipekka. . Leiwo. , . Monash. University, PSCIT, McMahons Road, Frankston, Vic 3199, Australia. . Seppo. . Heikkuri. , . . Hoang Huu Hanh, Hue University. hanh-at-hueuni.edu.vn. Architectural Design - . Establishing the overall structure of a software system. Topics covered:. System structuring. Control models. Modular decomposition. 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. . and Architectures. Summary. . By. . Srujana. Gorge. . Outline. Introduction Of Distributed System. Goals. Transparency. Services. District Heating and Cooling. Robert . McMillin. Siemens Industry, Inc.. August 12, 2015. Introduction. Master Planning. New Construction. Best time to choose a direction. 2. Likely higher first cost, but lower future cost. 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 . October 11, 2018. A.F. Cooper. Context and Motivation. How can we synchronize an asynchronous distributed system?. How do we make global state consistent? . Snapshots / checkpoints. Example: Buying a ticket on Ticketmaster. Introduction. Papadakis Harris. Dept. of Engineering Informatics. ΤΕΙ . of Crete. Distributed Systems. - . Contents. Definition. Parallel. . Processing. Distributed . Computin. Clusters. Examples.