PPT-Distributed

Replication Lecture 16 Oct 22 nd 2015 Howd we get here Failures amp single systems fault tolerance techniques added redundancy ECC memory RAID etc Conceptually ECC amp RAID both put a master in front of the redundancy to mask it from clients ECC handled by memory controller RAID looks like a very reliable hard drive behind a special controller. Access to resources of various machines is done explicitly by Remote logging into the appropriate remote machine Transferring data from remote machines to local machines via the File Transfer Protocol FTP mechanism Tightly Coupled Distributed System Advait Dixit, . Fang . Hao. , . Sarit. . Mukherjee, . T.V. . . Lakshman. , . Ramana. . Kompella. Physical Network Infrastructure. SDN Control Plane. Distributed Control Plane. Single point of failure. 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. draft-knauf-p2psip-disco-00. . Alexander Knauf, Gabriel Hege, . Thomas C. Schmidt, Matthias Wählisch. Status of this Memo. draft-knauf-p2psip-disco-00 presented at Maastricht. Feedback from WG: . Turn into generic mechanism for distributing resources in Reload . Overview of . Distributed Systems. Andrew. . Tanenbaum. and Marten van Steen, . Distributed Systems – Principles and Paradigms. , Prentice Hall, c2002.. Outline. Overview. Goals. Software. Client Server. Lethality. RADM Peter Fanta, USN. Director, Surface Warfare Division, N96, OPNAV. Sea-Air-Space Symposium. April 14, 2015. Building a Fighting Navy. 2. Small Surface Combatants. Light / Heavy Force Mix. 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. Systems. 15-440 / 15-640. Fall 2015. Welcome! Course Staff . Varun. . Saravgi. Arjun . Puri. Chao Xin. Yuvraj. Agarwal. Srini. . Seshan. Adhish. . Ramkumar. Xiaoxiang. Wu. Aaron Friedlander. Esther Wang. : . 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. Distributed Objects (Background). The . message-passing . paradigm is a natural model for distributed computing, in the sense that it mimics inter-human communications. It is an appropriate paradigm for network services where processes interact with each other through the exchanges of messages. . 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.