PPT-EE324 Distributed Systems

L 17 P2P Scaling Problem 2 Millions of clients server and network meltdown P2P System 3 Leverage the resources of client machines peers Computation storage bandwidth Why p2p. 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 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. 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. 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 . systems. L-. 20. More DFS. Andrew File System. Let’s start with a familiar example: andrew. 10,000s. of . machines. 10,000s. of . people. Goal: . Have a consistent namespace for files across computers. Prepared . by. Asma. . AlOtaibi. 200800689. Author & Published date. Jussipekka. . Leiwo. , . Monash. University, PSCIT, McMahons Road, Frankston, Vic 3199, Australia. . Seppo. . Heikkuri. , . 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. Vector Clocks. Vector clocks overcome the shortcoming of . Lamport. logical clocks. L. (e) < . L. (. e. ’) does not imply . e. happened before . e. ’. Goal. Want ordering that matches causality. Janani C Krishnamani. CSC 8320. Fall . 2011. Outline. Introduction. Architecture models. System architectures. Communication Network architectures. Examples. Future Ideas. Introduction. What are distributed systems? . . and Architectures. Summary. . By. . Srujana. Gorge. . Outline. Introduction Of Distributed System. Goals. Transparency. Services. 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 .