PPT-Distributed Systems

Tutorial 11 Yahoo PNUTS written by Alex Libov Based on OSCON 2011 presentation winter semester 20132014 Yahoo PNUTS 2 A massively parallel and geographically distributed database system for Yahoos web . Advait Dixit, . Fang . Hao. , . Sarit. . Mukherjee, . T.V. . . Lakshman. , . Ramana. . Kompella. Physical Network Infrastructure. SDN Control Plane. Distributed Control Plane. Single point of failure. 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. Spring 2015. Ki-. Joune. Li . http://isel.cs.pusan.ac.kr/~lik. Pusan National University. An . assignment. Choose an electronic (or electric) device . Define additional functions with. . data storage. : . 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 . Sig Freund. CSC 8320 Fall . 2008. rfreund1@student.gsu.edu. Transparency in Distributed Operating Systems. Evolution of Modern Operating Systems. Centralized operating system. +network access and resource sharing. 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. Dan Clearfield, Esq.. Energy Law & Policy Institute. University of Pittsburgh School of Law. August 2, 2013. Presented by:. What’s Coming. Distributed Energy – Basic ABC’s. Net Metering Basics. 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. 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. Topics covered. Distributed systems characteristics and issues. Models of component interaction . Client–server computing. Architectural patterns for distributed systems. Software as a service. Distributed systems. 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. 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 ( Introduction. Papadakis Harris. Dept. of Engineering Informatics. ΤΕΙ . of Crete. Distributed Systems. - . Contents. Definition. Parallel. . Processing. Distributed . Computin. Clusters. Examples.