PPT-Distributed Computing Concepts - Global Time and State in Distributed Systems

Prof Nalini Venkatasubramanian Distributed Systems Middleware Lecture 2 Global Time amp Global States of Distributed Systems Asynchronous distributed systems consist of several processes without common memory which communicate solely via . Presented by: Ehsan Kouroshfar. Outline. Introduction. Self-management. Architectural Considerations. Engineering challenges. Scientific challenges. Discussion. Introduction. IBM manifesto (2001): The main obstacle to further progress in the IT industry is a looming software complexity problem. Spring 2009. L-1 Introduction. 1. Today's Lecture. Administrivia. Example topics. 2. 3. Instructors. Instructor. Srini. Seshan. srini@cmu.edu. , Wean Hall . 8113. Office hours: Thursday 1-2pm. Teaching . 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. 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. Improving Computer Performance. What performance translates into:. Time taken to do computation. Improving performance . → reducing time taken. What key benefits improving performance can bring:. Can solve “now-computationally-attainable” problems in . 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? . Toward Software-Defined Clouds. Aditya Akella. TA: Aaron . Gember. Fall 2012. 1. Cloud Computing in Numbers. Datacenter instance:. Costs . in . billion$ . range. > 100,000 servers. Number of servers (estimates*). Janani C Krishnamani. CSC 8320. Fall . 2011. Outline. Introduction. Architecture models. System architectures. Communication Network architectures. Examples. Future Ideas. Introduction. What are distributed systems? . By: Roshan Kathir, Javakar Jeyanathan, Theodore Egube. What is Quantum Computing?. Computing using quantum mechanics. Very powerful technology to allow extremely fast computing . Uses . qubits . instead of bits. 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. Dr. . Barsha. . Mitra. CSIS . Dept. , BITS Pilani, Hyderabad Campus. Introduction. Course ID: SS ZG526, Title: Distributed Computing. allows for flexibly sharing resources (e.g., files and multimedia documents) stored across network-wide computers. , collected data is streamed to a central server and data . is processed . on a powerful central server which is usually far away from the . data source.. Cloud Computing or simply “the . Cloud. ”,is. BASIC CONCEPTS OF . ADVANCED . COMPUTING TECHNIQUES. Mrs. . A. MULLAI. ASSOCIATE PROFESSOR . DEPARTMENT OF COMPUTER SCIENCE . 1. Basic concepts of Advanced Computing Techniques - Mrs. A.Mullai .