11. Distributed File System
Total Page:16
File Type:pdf, Size:1020Kb
Load more
Recommended publications
-
SYSTEM V RELEASE 4 Migration Guide
- ATlaT UN/~ SYSTEM V RELEASE 4 Migration Guide UNIX Software Operation Copyright 1990,1989,1988,1987,1986,1985,1984,1983 AT&T All Rights Reserved Printed In USA Published by Prentice-Hall, Inc. A Division of Simon & Schuster Englewood Cliffs, New Jersey 07632 No part of this publication may be reproduced or transmitted in any form or by any means-graphic, electronic, electrical, mechanical, or chemical, including photocopying, recording in any medium, tap ing, by any computer or information storage and retrieval systems, etc., without prior permissions in writing from AT&T. IMPORTANT NOTE TO USERS While every effort has been made to ensure the accuracy of all information in this document, AT&T assumes no liability to any party for any loss or damage caused by errors or omissions or by state ments of any kind in this document, its updates, supplements, or special editions, whether such er rors are omissions or statements resulting from negligence, accident, or any other cause. AT&T furth er assumes no liability arising out of the application or use of any product or system described herein; nor any liability for incidental or consequential damages arising from the use of this docu ment. AT&T disclaims all warranties regarding the information contained herein, whether expressed, implied or statutory, including implied warranties of merchantability or fitness for a particular purpose. AT&T makes no representation that the interconnection of products in the manner described herein will not infringe on existing or future patent rights, nor do the descriptions contained herein imply the granting or license to make, use or sell equipment constructed in accordance with this description. -
Andrew File System (AFS) Google File System February 5, 2004
Advanced Topics in Computer Systems, CS262B Prof Eric A. Brewer Andrew File System (AFS) Google File System February 5, 2004 I. AFS Goal: large-scale campus wide file system (5000 nodes) o must be scalable, limit work of core servers o good performance o meet FS consistency requirements (?) o managable system admin (despite scale) 400 users in the “prototype” -- a great reality check (makes the conclusions meaningful) o most applications work w/o relinking or recompiling Clients: o user-level process, Venus, that handles local caching, + FS interposition to catch all requests o interaction with servers only on file open/close (implies whole-file caching) o always check cache copy on open() (in prototype) Vice (servers): o Server core is trusted; called “Vice” o servers have one process per active client o shared data among processes only via file system (!) o lock process serializes and manages all lock/unlock requests o read-only replication of namespace (centralized updates with slow propagation) o prototype supported about 20 active clients per server, goal was >50 Revised client cache: o keep data cache on disk, metadata cache in memory o still whole file caching, changes written back only on close o directory updates are write through, but cached locally for reads o instead of check on open(), assume valid unless you get an invalidation callback (server must invalidate all copies before committing an update) o allows name translation to be local (since you can now avoid round-trip for each step of the path) Revised servers: 1 o move -
A Survey of Distributed File Systems
A Survey of Distributed File Systems M. Satyanarayanan Department of Computer Science Carnegie Mellon University February 1989 Abstract Abstract This paper is a survey of the current state of the art in the design and implementation of distributed file systems. It consists of four major parts: an overview of background material, case studies of a number of contemporary file systems, identification of key design techniques, and an examination of current research issues. The systems surveyed are Sun NFS, Apollo Domain, Andrew, IBM AIX DS, AT&T RFS, and Sprite. The coverage of background material includes a taxonomy of file system issues, a brief history of distributed file systems, and a summary of empirical research on file properties. A comprehensive bibliography forms an important of the paper. Copyright (C) 1988,1989 M. Satyanarayanan The author was supported in the writing of this paper by the National Science Foundation (Contract No. CCR-8657907), Defense Advanced Research Projects Agency (Order No. 4976, Contract F33615-84-K-1520) and the IBM Corporation (Faculty Development Award). The views and conclusions in this document are those of the author and do not represent the official policies of the funding agencies or Carnegie Mellon University. 1 1. Introduction The sharing of data in distributed systems is already common and will become pervasive as these systems grow in scale and importance. Each user in a distributed system is potentially a creator as well as a consumer of data. A user may wish to make his actions contingent upon information from a remote site, or may wish to update remote information. -
Chapter 1 – 15 Essay Question Review
Chapter 1 – 15 Essay Question Review Chapter 1 1. Explain why an operating system can be viewed as a resource allocator. Ans: A computer system has many resources that may be required to solve a problem: CPU time, memory space, file-storage space, I/O devices, and so on. The operating system acts as the manager of these resources. Facing numerous and possibly conflicting requests for resources, the operating system must decide how to allocate them to specific programs and users so that it can operate the computer system efficiently and fairly. Feedback: 1.1.2 2. Explain the purpose of an interrupt vector. Ans: The interrupt vector is merely a table of pointers to specific interrupt-handling routines. Because there are a fixed number of interrupts, this table allows for more efficient handling of the interrupts than with a general-purpose, interrupt-processing routine. Feedback: 1.2.1 3. What is a bootstrap program, and where is it stored? Ans: A bootstrap program is the initial program that the computer runs when it is powered up or rebooted. It initializes all aspects of the system, from CPU registers to device controllers to memory contents. Typically, it is stored in read-only memory (ROM) or electrically erasable programmable read-only memory (EEPROM), known by the general term firmware, within the computer hardware. Feedback: 1.2.1 4. What role do device controllers and device drivers play in a computer system? Ans: A general-purpose computer system consists of CPUs and multiple device controllers that are connected through a common bus. -
Solaris 10 System Administration - Part II
Solaris 10 System Administration - Part II Duration: 5 Days Course Code: SSA2 Overview: This Solaris System Administration training course will provide delegates with practical experience of configuring various aspects of a Oracle Solaris system up to and including Solaris version 10. This course extends the skills a delegate will have gained from attending the Solaris System Administration - Part 1 course. Delegates will cover more specialised tasks such as managing the system log and configuring remote file sharing with NFS whilst gaining the key skills required to prepare for the Oracle Solaris 10 System Administrator Certified Professional Part II exam (1Z0-878) . Target Audience: This Solaris 10 System Administration - Part II course is aimed at IT staff responsible for administering a networked server in a local area network,running the Oracle Solaris operating environment. It will extend their skills beyond basic administration tasks. Objectives: Administering Solaris systems involves many specialised tasks including; monitoring system events with syslog,performing network installations,dealing with various aspects of the network environment and assigning system roles to users. Delegates taking this class will gain the necessary knowledge and skills to perform these tasks. Prerequisites: Attendance on the Solaris Introduction and Solaris 10 System Administration - Part I courses or similar knowledge is required. Shell Programming knowledge is beneficial but not essential. This skill can be gained by attending the Solaris Shell Programming -
The Influence of Scale on Distributed File System Design
IEEE TRANSAmIONS ON SOFIWARE ENGINEERING, VOL. 18, NO. I, JANUARY lY92 The Influence of Scale on Distributed File System Design Mahadev Satyanarayanan, Member, IEEE Abstract- Scale should be recognized as a primary factor into autonomous or semi-autonomous organizations for man- influencing the architecture and implementation of distributed agement purposes. Hence a distributed system that has many systems. This paper uses Andrew and Coda, distributed file users or nodes will also span many organizations. Regardless systems built at Carnegie Mellon University, to validate this proposition. Performance, operability, and security are dominant of the specific metric of scale, the designs of distributed considerations in the design of these systems. Availability is a systems that scale well are fundamentally different from less further consideration in the design of Coda. Client caching, scalable designs. bulk data transfer, token-based mutual authentication, and hi- In this paper we describe the lessons we have learned erarchical organization of the protection domain have emerged about scalability from the Andrew File System and the Codu as mechanisms that enhance scalability. The separation of con- cerns made possible by functional specialization has also proved File System. These systems are particularly appropriate for valuable in scaling. Heterogeneity is an important by-product our discussion, because they have been designed for growth of growth, but the mechanisms available to cope with it are to thousands of nodes and users. We focus on distributed rudimentary. Physical separation of clients and servers turns out file systems, because they are the most widely used kind of to be a critical requirement for scalability. -
Distributed File Systems
Please note: Please start working your research project (proposal will be due on Feb. 19 in class) Each group needs to turn in a printed version of their proposal and intermediate report. Also, before class each group needs to email me a DOC version. Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Pearson Education 2005 Remote Procedure Call (1): at-least-once or at-most-once semantics client: "stub" instead of "proxy" (same function, different names) behaves like a local procedure, marshal arguments, communicate the request server: dispatcher "stub": unmarshal arguments, communicate the results back Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Pearson Education 2005 Remote Procedure Call (2) client process server process Request Reply client stub server stub procedure procedure client service program Communication Communication procedure module module dispatcher Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. 4 © Pearson Education 2005 Sun RPC (1): Designed for client-server communication in the SUN NFS (network file system) Supplied as a part of SUN and other UNIX operating systems Over either UDP or TCP Provides an interface definition language (IDL) initially XDR is for data representation, extended to be IDL less modern than CORBA IDL and Java program numbers (obtained from a central authority) instead of interface names procedure numbers (used as a procedure identifier) instead of procedure names only a single input parameter is allowed (then we have to use a ?) Offers an interface compiler (rpcgen) for C language, which generates the following: client stub server main procedure, dispatcher, and server stub XDR marshalling, unmarshaling Instructor’s Guide for Coulouris, Dollimore and Kindberg Distributed Systems: Concepts and Design Edn. -
Design and Evolution of the Apache Hadoop File System(HDFS)
Design and Evolution of the Apache Hadoop File System(HDFS) Dhruba Borthakur Engineer@Facebook Committer@Apache HDFS SDC, Sept 19 2011 2011 Storage Developer Conference. © Insert Your Company Name. All Rights Reserved. Outline Introduction Yet another file-system, why? Goals of Hadoop Distributed File System (HDFS) Architecture Overview Rational for Design Decisions 2011 Storage Developer Conference. © Insert Your Company Name. All Rights Reserved. Who Am I? Apache Hadoop FileSystem (HDFS) Committer and PMC Member Core contributor since Hadoop’s infancy Facebook (Hadoop, Hive, Scribe) Yahoo! (Hadoop in Yahoo Search) Veritas (San Point Direct, Veritas File System) IBM Transarc (Andrew File System) Univ of Wisconsin Computer Science Alumni (Condor Project) 2011 Storage Developer Conference. © Insert Your Company Name. All Rights Reserved. Hadoop, Why? Need to process Multi Petabyte Datasets Data may not have strict schema Expensive to build reliability in each application. Failure is expected, rather than exceptional. Elasticity, # of nodes in a cluster is never constant. Need common infrastructure Efficient, reliable, Open Source Apache License 2011 Storage Developer Conference. © Insert Your Company Name. All Rights Reserved. Goals of HDFS Very Large Distributed File System 10K nodes, 1 billion files, 100 PB Assumes Commodity Hardware Files are replicated to handle hardware failure Detect failures and recovers from them Optimized for Batch Processing Data locations exposed so that computations can move to where data resides Provides very high aggregate bandwidth User Space, runs on heterogeneous OS 2011 Storage Developer Conference. © Insert Your Company Name. All Rights Reserved. Commodity Hardware Typically in 2 level architecture – Nodes are commodity PCs – 20-40 nodes/rack – Uplink from rack is 4 gigabit – Rack-internal is 1 gigabit 2011 Storage Developer Conference. -
Andrew File System (AFS)
Andrew File System ♦ Andrew File System (AFS) 8 started as a joint effort of Carnegie Mellon University and IBM 8 today basis for DCE/DFS: the distributed file system included in the Open Software Foundations’s Distributed Computing Environment 8 some UNIX file system usage observations, as pertaining to caching – infrequently updated shared files and local user files will remain valid for long periods of time (the latter because they are being updated on owners workstations) – allocate large local disk cache, e.g., 100 MByte, that can provide a large enough working set for all files of one user such that the file is still in this cache when used next time – assumptions about typical file accesses (based on empirical evidence) iusually small files, less than 10 Kbytes ireads much more common than writes (appr. 6:1) iusually sequential access, random access not frequently found iuser-locality: most files are used by only one user iburstiness of file references: once file has been used, it will be used in the nearer future with high probability Distributed Systems - Fall 2001 V - 39 © Stefan Leue 2002 tele Andrew File System ♦ Andrew File System (AFS) 8 design decisions for AFS – whole-file serving: entire contents of directories and files transfered from server to client (AFS-3: in chunks of 64 Kbytes) – whole file caching: when file transfered to client it will be stored on that client’s local disk Distributed Systems - Fall 2001 V - 40 © Stefan Leue 2002 tele Andrew File System ♦ AFS architecture: Venus, network and Vice Workstations -
Using Sun QFS and Sun Storage Archive Manager on Linux Clients
Using Sun QFS and Sun Storage Archive Manager on Linux Clients Part No: E22975 June 2012 Copyright © 2011, 2012, Oracle and/or its affiliates. All rights reserved. This software and related documentation are provided under a license agreement containing restrictions on use and disclosure and are protected by intellectual property laws. Except as expressly permitted in your license agreement or allowed by law, you may not use, copy, reproduce, translate, broadcast, modify, license, transmit, distribute, exhibit, perform, publish, or display any part, in any form, or by any means. Reverse engineering, disassembly, or decompilation of this software, unless required by law for interoperability, is prohibited. The information contained herein is subject to change without notice and is not warranted to be error-free. If you find any errors, please report them to us in writing. If this is software or related documentation that is delivered to the U.S. Government or anyone licensing it on behalf of the U.S. Government, the following notice is applicable: U.S. GOVERNMENT END USERS. Oracle programs, including any operating system, integrated software, any programs installed on the hardware, and/or documentation, delivered to U.S. Government end users are "commercial computer software" pursuant to the applicable Federal Acquisition Regulation and agency-specific supplemental regulations. As such, use, duplication, disclosure, modification, and adaptation of the programs, including anyoperating system, integrated software, any programs installed on the hardware, and/or documentation, shall be subject to license terms and license restrictions applicable to the programs. No other rights are granted to the U.S. Government. This software or hardware is developed for general use in a variety of information management applications. -
Using the Andrew File System with BSD
Using the Andrew File System with BSD H. Meiland May 4, 2006 Abstract Since the beginning of networks, one of the basic idea’s has been sharing of files; even though with the Internet as advanced as today, simple platform independent file sharing is not common. Why is the closest thing we use WebDAV, a ’neat trick over http’, instead of a real protocol? In this paper the Andrew File System will be described which has been (and is) the file sharing core of many universities and companies world- wide. Also the reason for it’s relative unawareness in the community will be answered, and it’s actual features and performance in comparison with alternative network filesystems. Finally some information will be given on how to use it with our favorite OS: BSD. 1 History • 1984 Carnegie Mellon University, first release • 1989 TransArc Corporation formed by part of original team members • 1994 TransArc purchased by IBM • 1997 Start of Arla development at stacken.kth.se • 2000 IBM releases AFS in opensource (IBM License) • 2000 http://www.OpenAFS.org • 2006 good support for lot’s of platforms, many new features etc. 1 2 Overview 2.1 User point of view 2.1.1 Global namespace While discussing global filesystem, it is easy to dive into a organization, and explain wonderfull features like having replicas of often accessed data in branch-offices, and moving home-directories to local fileservers when mov- ing employees between departments. An essential feature of AFS is often overlooked: a common root as accesspoint of all AFS stored data. -
The Andrew File System (AFS)
50 The Andrew File System (AFS) The Andrew File System was introduced at Carnegie-Mellon University (CMU) 1 in the 1980’s [H+88]. Led by the well-known Professor M. Satya- narayanan of Carnegie-Mellon University (“Satya” for short), the main goal of this project was simple: scale. Specifically, how can one design a distributed file system such that a server can support as many clients as possible? Interestingly, there are numerous aspects of design and implementa- tion that affect scalability. Most important is the design of the protocol be- tween clients and servers. In NFS, for example, the protocol forces clients to check with the server periodically to determine if cached contents have changed; because each check uses server resources (including CPU and network bandwidth), frequent checks like this will limit the number of clients a server can respond to and thus limit scalability. AFS also differs from NFS in that from the beginning, reasonable user- visible behavior was a first-class concern. In NFS, cache consistency is hard to describe because it depends directly on low-level implementa- tion details, including client-side cache timeout intervals. In AFS, cache consistency is simple and readily understood: when the file is opened, a client will generally receive the latest consistent copy from the server. 50.1 AFS Version 1 We will discuss two versions of AFS [H+88, S+85]. The first version (which we will call AFSv1, but actually the original system was called the ITC distributed file system [S+85]) had some of the basic design in place, but didn’t scale as desired, which led to a re-design and the final protocol (which we will call AFSv2, or just AFS) [H+88].