PPT-Distributed File Systems

CS60002 Distributed Systems INDIAN INSTITUTE OF TECHNOLOGY KHARAGPUR 1 Antonio Bruto da Costa PhD Student Formal Methods Lab Dept of Computer Sc amp Engg Indian Institute of Technology . 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 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. Neha Purohit. Why replicate. Performance. Reliability. Resource . sharing. Network resource saving. Challenge. . Transparency. Replication. Concurrent control. Failure recovery. Serialization. Atomicity. 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. from . Leslie . Lamport. Who is he?. Leslie . Lamport. (born February 7, 1941 in New York City) is an American computer scientist. . Lamport. is best known for his seminal work in distributed systems and as the initial developer of the document preparation system . Advanced Operating System. Zhuoli. Lin. Professor Zhang. Outline. Semantics of File Sharing. File Locking. Sharing File in Coda. Future Work. Semantics of File Sharing. When two or more users share the same file at the same time, it is necessary to define the semantics of reading and writing precisely to avoid problems.. Clocks. External clock synchronization (. Cristian. ). Internal clock synchronization (. Gusella. & . Zatti. ). Network Time Protocol (Mills). Decisions. Agreement protocols (Fischer). Data. Distributed file . File Management I/O. Peter Collins, Khadouj Fikry. MPI IO. File Management I/O. Overview. Problem Statement: as the size of data is excessively increasing, the need of I/O parallelization is becoming a necessity to avoid scalability bottleneck on almost every application. . 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. What is a hard disk partition?. File Systems - Partitions. What is a hard disk partition?. Physical (or logical) storage space division on disk. Typically, so can put a file system inside the partition. Prof. Nalini . Venkatasubramanian. . &. Prof. Yusuf . Sarwar. Dept. of Information & Computer Science. University of California, Irvine. Intro to Distributed Systems Middleware. 2. CS 237/. NetSys. Metdata. Management for Distributed File Systems. Thomas Kao. 1. Background. Scalable solutions provided for data storage, why not file systems?. 2. Motivation. O. ften . bottlenecked by the metadata management . CS. . 111. Operating . Systems . Peter Reiher. . Outline. Networking implications for operating systems. Networking and distributed systems. Networking Implications . for the Operating System. Networking requires serious operating system support.