XtreemFS - a distributed and replicated cloud file system
|
|
|
- Clare Nelson
- 10 years ago
- Views:
Transcription
1 XtreemFS - a distributed and replicated cloud file system Michael Berlin Zuse Institute Berlin DESY Computing Seminar,
2 Who we are Zuse Institute Berlin operates the HLRN supercomputer (#63+64) Research in Computer Science and Mathematics Parallel and Distributed Systems Group lead by Prof. Alexander Reinefeld (Humboldt University) Distributed and failure-tolerant storage systems
3 Who we are Michael Berlin PhD student since 03/2011 studied Informatik at Humboldt Universität zu Berlin Diplom thesis dealt with XtreemFS currently working on the XtreemFS client 3
4 Motivation Problem: Multiple copies of data Where? Copy complete? Different versions? PC internal Nodes external Nodes local file server internal storage external storage 4
5 Motivation (2) Problem: Different access interfaces Laptop via 3G/Wi-Fi VPN+?/ SSHFS local file server PC NFS/ Samba SCP external storage external Nodes <parallel file system> 5
6 Motivation (3) XtreemFS goals: Transparency Availability Laptop via 3G/Wi-Fi PC internal Nodes external Nodes XtreemFS 6
7 File Systems Landscape 7
8 Outline 1. XtreemFS Architecture 2. Client Interfaces 3. Read-Only Replication 4. Read-Write Replication 5. Metadata Replication 6. Customization through Policies 7. Security 8. Use Case: Mosgrid 9. Snapshots 8
9 XtreemFS Architecture (1) Volume on a Metadata Server: provides hierarchical namespace File Content on Storage servers: accessed directly by clients PC internal Nodes local file server internal storage 9
10 XtreemFS Architecture (2) Metadata and Replica Catalog (MRC): holds volumes Object Storage Devices (OSDs): file content split into objects objects can be striped across OSDs object-based file system architecture 10
11 WRITE READ Scalability File I/O Throughput parallel I/O: scales with number of OSDs Storage Capacity add and removal of OSDs possible OSDs may be used by multiple volumes Metadata Throughput limited by MRC hardware use many volumes spread over multiple MRCs 11
12 Accessing Components Directory Service (DIR) central registry all servers (MRC, OSD) register there with their id provides: list of available volumes mapping id URL to service list of available OSDs 12
13 Client Interfaces XtreemFS supports POSIX interface and semantics mount.xtreemfs: using FUSE runs on Linux, FreeBSD, OS X and Windows (Dokan) libxtreemfs for Java and C++ Laptop via 3G/WiFi PC internal Nodes external Nodes mount.xtreemfs mount.xtreemfs mount.xtreemfs XtreemFS 13
14 Read-Only Replication Requirement: Mark file as read-only Replica types: a. Full replica: requires complete copy b. Partial replica: fills itself on demand instantly ready to use external Nodes internal storage external storage 14
15 Read-Only Replication (2) 15
16 Read-Only Replication (3) Receiver-initiated transfer at object level OSDs exchange object lists Filling strategies: Fetch objects in order rarest first Prefetching available On-Close Replication: automatic replica creation 16
17 Read-Write Replication Availability Data safety Allow Modifications PC local file server important.cpp internal storage important.cpp 17
18 Read-Write Replication (2) Primary/Backup: 18
19 Read-Write Replication (3) Primary/Backup: 1. Lease Acquisition at most one valid lease per file revocation = lease timeout 19
20 Read-Write Replication (4) Primary/Backup: 1. Lease Acquisition at most one valid lease per file revocation = lease timeout 2. Data Dissemination 20
21 Read-Write Replication (5) Lease Acquisition XtreemFS: Flease scalable majority-based Central Lock Service Flease Data Dissemination Update Strategies: Write All, Read 1 Write Quorum, Read Quorum 21
22 Metadata Replication Primary/backup replication volume = database transparently replicate database use leases to elect primary replicate insert/update/delete Database = Key/Value Store own implementation: BabuDB 22
23 Customization through Policies Example: Which replica shall the client select? determined by policies internal storage??? external storage external Nodes Policies: Authentication Authorization UID/GID mappings Replica placement Replica selection 23
24 Customization through Policies (2) Replica Placement/Selection Policies: filter / sort / group replica list available default policies: FQDN-based datacenter map Vivaldi (latency estimation) can be chained own policies possible (Java) MRC sorted replica list open() external Nodes node1.ext-cluster internal storage osd1.int-cluster external storage osd1.ext-cluster 24
25 Security X.509 certificates support for authentication SSL to encrypt communication Laptop via 3G/Wi-Fi external Nodes mount.xtreemfs w/ user certificate XtreemFS mount.xtreemfs w/ host certificate 25
26 Use case: Mosgrid Mosgrid: ease running experiments in computational chemistry use grid resources through a web portal portal allows to submit and retrieve compute jobs XtreemFS: global data repository 26
27 Use case: Mosgrid (2) PC Submit Job Browser Retrieve Results Input Data Nodes Results mount.xtreemfs w/ user certificate Web Portal libxtreemfs (Java) Unicore Frontend mount.xtreemfs w/ host certificate XtreemFS XtreemFS scope Berlin Dresden Köln 27
28 Snapshots Backups needed in case of accidental deletion/modification virus infections Snapshot stable image of the file system at a given point in time PC unlink( important.cpp ) local file server important.cpp internal storage important.cpp 28
29 Snapshots (2) MRC: create snapshot if requested OSDs: Copy-on-Write on modify: create new object instead of overwriting on delete: only mark as deleted write("file.txt ) snapshot() write("file.txt ) t 0 t file.txt: V1, t 1 file.txt: V2, t 2 29
30 Snapshots (3) No exact global time: Loosely synchronized clocks assumption: maximum drift ε Time span-based snapshots write("file.txt ) snapshot() write("file.txt ) t 0 write("file.txt ) t 0 - ε t 0 + ε t file.txt: V1, t 1 file.txt: V2, t 2 file.txt: V2, t 2 30
31 Snapshots (4) OSDs: limit number of versions not version-on-every-write Instead: close-to-open problem: client sends no explicit close implicit close: create new version if last write at least X seconds ago Cleanup tool: deletes versions which belong to no snapshot Snapshots on directory level possible 31
32 Future Research Self-Tuning Quota support Data de-duplication Hierarchical Storage Management 32
33 XtreemFS Software Open source: Development: 5 core developers at ZIB integration tests for quality assurance Community: users and bug reporters mailing list with 102 subscribers Release 1.3: Experimental support for read/write replication and snapshots 33
34 Thank You! References: The Contrail project is supported by funding under the Seventh Framework Programme of the European Commission: ICT, Internet of Services, Software and Virtualization. GA nr.: FP7-ICT
Data Storage in Clouds
Data Storage in Clouds Jan Stender Zuse Institute Berlin contrail is co-funded by the EC 7th Framework Programme 1 Overview Introduction Motivation Challenges Requirements Cloud Storage Systems XtreemFS
XtreemFS a Distributed File System for Grids and Clouds Mikael Högqvist, Björn Kolbeck Zuse Institute Berlin XtreemFS Mikael Högqvist/Björn Kolbeck 1
XtreemFS a Distributed File System for Grids and Clouds Mikael Högqvist, Björn Kolbeck Zuse Institute Berlin XtreemFS Mikael Högqvist/Björn Kolbeck 1 The XtreemOS Project Research project funded by the
XtreemFS Extreme cloud file system?! Udo Seidel
XtreemFS Extreme cloud file system?! Udo Seidel Agenda Background/motivation High level overview High Availability Security Summary Distributed file systems Part of shared file systems family Around for
BabuDB: Fast and Efficient File System Metadata Storage
BabuDB: Fast and Efficient File System Metadata Storage Jan Stender, Björn Kolbeck, Mikael Högqvist Felix Hupfeld Zuse Institute Berlin Google GmbH Zurich Motivation Modern parallel / distributed file
Diagram 1: Islands of storage across a digital broadcast workflow
XOR MEDIA CLOUD AQUA Big Data and Traditional Storage The era of big data imposes new challenges on the storage technology industry. As companies accumulate massive amounts of data from video, sound, database,
Replication and Consistency in Cloud File Systems
Replication and Consistency in Cloud File Systems Alexander Reinefeld und Florian Schintke Zuse-Institut Berlin Cloud-Computing-Tag im IKMZ der BTU Cottbus A. Reinefeld, F. Schintke, ZIB 14.04.2011 1 Let
QoS-Aware Storage Virtualization for Cloud File Systems. Christoph Kleineweber (Speaker) Alexander Reinefeld Thorsten Schütt. Zuse Institute Berlin
QoS-Aware Storage Virtualization for Cloud File Systems Christoph Kleineweber (Speaker) Alexander Reinefeld Thorsten Schütt Zuse Institute Berlin 1 Outline Introduction Performance Models Reservation Scheduling
HDFS Users Guide. Table of contents
Table of contents 1 Purpose...2 2 Overview...2 3 Prerequisites...3 4 Web Interface...3 5 Shell Commands... 3 5.1 DFSAdmin Command...4 6 Secondary NameNode...4 7 Checkpoint Node...5 8 Backup Node...6 9
Distributed File Systems
Distributed File Systems Paul Krzyzanowski Rutgers University October 28, 2012 1 Introduction The classic network file systems we examined, NFS, CIFS, AFS, Coda, were designed as client-server applications.
Data Management in an International Data Grid Project. Timur Chabuk 04/09/2007
Data Management in an International Data Grid Project Timur Chabuk 04/09/2007 Intro LHC opened in 2005 several Petabytes of data per year data created at CERN distributed to Regional Centers all over the
HDFS Under the Hood. Sanjay Radia. [email protected] Grid Computing, Hadoop Yahoo Inc.
HDFS Under the Hood Sanjay Radia [email protected] Grid Computing, Hadoop Yahoo Inc. 1 Outline Overview of Hadoop, an open source project Design of HDFS On going work 2 Hadoop Hadoop provides a framework
Hadoop Distributed File System. T-111.5550 Seminar On Multimedia 2009-11-11 Eero Kurkela
Hadoop Distributed File System T-111.5550 Seminar On Multimedia 2009-11-11 Eero Kurkela Agenda Introduction Flesh and bones of HDFS Architecture Accessing data Data replication strategy Fault tolerance
The Hadoop Distributed File System
The Hadoop Distributed File System The Hadoop Distributed File System, Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler, Yahoo, 2010 Agenda Topic 1: Introduction Topic 2: Architecture
Enterprise Private Cloud Storage
Enterprise Private Cloud Storage The term cloud storage seems to have acquired many definitions. At Cloud Leverage, we define cloud storage as an enterprise-class file server located in multiple geographically
Distributed File Systems
Distributed File Systems Mauro Fruet University of Trento - Italy 2011/12/19 Mauro Fruet (UniTN) Distributed File Systems 2011/12/19 1 / 39 Outline 1 Distributed File Systems 2 The Google File System (GFS)
Google File System. Web and scalability
Google File System Web and scalability The web: - How big is the Web right now? No one knows. - Number of pages that are crawled: o 100,000 pages in 1994 o 8 million pages in 2005 - Crawlable pages might
HDFS Architecture Guide
by Dhruba Borthakur Table of contents 1 Introduction... 3 2 Assumptions and Goals... 3 2.1 Hardware Failure... 3 2.2 Streaming Data Access...3 2.3 Large Data Sets... 3 2.4 Simple Coherency Model...3 2.5
Big data management with IBM General Parallel File System
Big data management with IBM General Parallel File System Optimize storage management and boost your return on investment Highlights Handles the explosive growth of structured and unstructured data Offers
Indexes for Distributed File/Storage Systems as a Large Scale Virtual Machine Disk Image Storage in a Wide Area Network
Indexes for Distributed File/Storage Systems as a Large Scale Virtual Machine Disk Image Storage in a Wide Area Network Keiichi Shima IIJ Innovation Institute Chiyoda-ku, Tōkyō 11-51, Japan Email: [email protected]
Release Notes. CTERA Portal 4.0. November 2013. CTERA Portal 4.0 Release Notes 1
Release Notes CTERA Portal 4.0 November 2013 CTERA Portal 4.0 Release Notes 1 1 Release Contents Copyright 2009-2013 CTERA Networks Ltd. All rights reserved. No part of this document may be reproduced
Ceph. A file system a little bit different. Udo Seidel
Ceph A file system a little bit different Udo Seidel Ceph what? So-called parallel distributed cluster file system Started as part of PhD studies at UCSC Public announcement in 2006 at 7 th OSDI File system
Panasas at the RCF. Fall 2005 Robert Petkus RHIC/USATLAS Computing Facility Brookhaven National Laboratory. Robert Petkus Panasas at the RCF
Panasas at the RCF HEPiX at SLAC Fall 2005 Robert Petkus RHIC/USATLAS Computing Facility Brookhaven National Laboratory Centralized File Service Single, facility-wide namespace for files. Uniform, facility-wide
ZooKeeper. Table of contents
by Table of contents 1 ZooKeeper: A Distributed Coordination Service for Distributed Applications... 2 1.1 Design Goals...2 1.2 Data model and the hierarchical namespace...3 1.3 Nodes and ephemeral nodes...
Distributed File System. MCSN N. Tonellotto Complements of Distributed Enabling Platforms
Distributed File System 1 How do we get data to the workers? NAS Compute Nodes SAN 2 Distributed File System Don t move data to workers move workers to the data! Store data on the local disks of nodes
The Data Grid: Towards an Architecture for Distributed Management and Analysis of Large Scientific Datasets
The Data Grid: Towards an Architecture for Distributed Management and Analysis of Large Scientific Datasets!! Large data collections appear in many scientific domains like climate studies.!! Users and
Veeam Cloud Connect. Version 8.0. Administrator Guide
Veeam Cloud Connect Version 8.0 Administrator Guide April, 2015 2015 Veeam Software. All rights reserved. All trademarks are the property of their respective owners. No part of this publication may be
Take An Internal Look at Hadoop. Hairong Kuang Grid Team, Yahoo! Inc [email protected]
Take An Internal Look at Hadoop Hairong Kuang Grid Team, Yahoo! Inc [email protected] What s Hadoop Framework for running applications on large clusters of commodity hardware Scale: petabytes of data
A Virtual Filer for VMware s Virtual SAN A Maginatics and VMware Joint Partner Brief
A Virtual Filer for VMware s Virtual SAN A Maginatics and VMware Joint Partner Brief With the massive growth of unstructured data in today s enterprise environments, storage IT administrators are constantly
Maginatics Cloud Storage Platform Feature Primer
Maginatics Cloud Storage Platform Feature Primer Feature Function Benefit Admin Features REST API Orchestration Multi-cloud Vendor Support Deploy and manage MCSP components from within your own code. Maginatics
An Oracle White Paper July 2014. Oracle ACFS
An Oracle White Paper July 2014 Oracle ACFS 1 Executive Overview As storage requirements double every 18 months, Oracle customers continue to deal with complex storage management challenges in their data
Postgres Plus xdb Replication Server with Multi-Master User s Guide
Postgres Plus xdb Replication Server with Multi-Master User s Guide Postgres Plus xdb Replication Server with Multi-Master build 57 August 22, 2012 , Version 5.0 by EnterpriseDB Corporation Copyright 2012
Flexible Identity Federation
Flexible Identity Federation Quick start guide version 1.0.1 Publication history Date Description Revision 2015.09.23 initial release 1.0.0 2015.12.11 minor updates 1.0.1 Copyright Orange Business Services
WOS Cloud. ddn.com. Personal Storage for the Enterprise. DDN Solution Brief
DDN Solution Brief Personal Storage for the Enterprise WOS Cloud Secure, Shared Drop-in File Access for Enterprise Users, Anytime and Anywhere 2011 DataDirect Networks. All Rights Reserved DDN WOS Cloud
GeoGrid Project and Experiences with Hadoop
GeoGrid Project and Experiences with Hadoop Gong Zhang and Ling Liu Distributed Data Intensive Systems Lab (DiSL) Center for Experimental Computer Systems Research (CERCS) Georgia Institute of Technology
<Insert Picture Here> Oracle Cloud Storage. Morana Kobal Butković Principal Sales Consultant Oracle Hrvatska
Oracle Cloud Storage Morana Kobal Butković Principal Sales Consultant Oracle Hrvatska Oracle Cloud Storage Automatic Storage Management (ASM) Oracle Cloud File System ASM Dynamic
BookKeeper overview. Table of contents
by Table of contents 1 BookKeeper overview...2 1.1 BookKeeper introduction... 2 1.2 In slightly more detail...2 1.3 Bookkeeper elements and concepts...3 1.4 Bookkeeper initial design... 3 1.5 Bookkeeper
Testing of several distributed file-system (HadoopFS, CEPH and GlusterFS) for supporting the HEP experiments analisys. Giacinto DONVITO INFN-Bari
Testing of several distributed file-system (HadoopFS, CEPH and GlusterFS) for supporting the HEP experiments analisys. Giacinto DONVITO INFN-Bari 1 Agenda Introduction on the objective of the test activities
GlusterFS Distributed Replicated Parallel File System
GlusterFS Distributed Replicated Parallel File System SLAC 2011 Martin Alfke Agenda General Information on GlusterFS Architecture Overview GlusterFS Translators GlusterFS
THE HADOOP DISTRIBUTED FILE SYSTEM
THE HADOOP DISTRIBUTED FILE SYSTEM Konstantin Shvachko, Hairong Kuang, Sanjay Radia, Robert Chansler Presented by Alexander Pokluda October 7, 2013 Outline Motivation and Overview of Hadoop Architecture,
Last class: Distributed File Systems. Today: NFS, Coda
Last class: Distributed File Systems Issues in distributed file systems Sun s Network File System case study Lecture 19, page 1 Today: NFS, Coda Case Study: NFS (continued) Case Study: Coda File System
BlobSeer: Towards efficient data storage management on large-scale, distributed systems
: Towards efficient data storage management on large-scale, distributed systems Bogdan Nicolae University of Rennes 1, France KerData Team, INRIA Rennes Bretagne-Atlantique PhD Advisors: Gabriel Antoniu
Avoid a single point of failure by replicating the server Increase scalability by sharing the load among replicas
3. Replication Replication Goal: Avoid a single point of failure by replicating the server Increase scalability by sharing the load among replicas Problems: Partial failures of replicas and messages No
Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH
Cloud Computing for Control Systems CERN Openlab Summer Student Program 9/9/2011 ARSALAAN AHMED SHAIKH CONTENTS Introduction... 4 System Components... 4 OpenNebula Cloud Management Toolkit... 4 VMware
COSC 6374 Parallel Computation. Parallel I/O (I) I/O basics. Concept of a clusters
COSC 6374 Parallel I/O (I) I/O basics Fall 2012 Concept of a clusters Processor 1 local disks Compute node message passing network administrative network Memory Processor 2 Network card 1 Network card
Distributed File Systems An Overview. Nürnberg, 30.04.2014 Dr. Christian Boehme, GWDG
Distributed File Systems An Overview Nürnberg, 30.04.2014 Dr. Christian Boehme, GWDG Introduction A distributed file system allows shared, file based access without sharing disks History starts in 1960s
Release Notes. CTERA Portal 3.2.43. May 2013. CTERA Portal 3.2.43 Release Notes 1
Release Notes CTERA Portal 3.2.43 May 2013 CTERA Portal 3.2.43 Release Notes 1 1 Release Contents Copyright 2009-2013 CTERA Networks Ltd. All rights reserved. No part of this document may be reproduced
Apache Hadoop. Alexandru Costan
1 Apache Hadoop Alexandru Costan Big Data Landscape No one-size-fits-all solution: SQL, NoSQL, MapReduce, No standard, except Hadoop 2 Outline What is Hadoop? Who uses it? Architecture HDFS MapReduce Open
Maginatics Cloud Storage Platform A primer
Maginatics Cloud Storage Platform A primer Who is Maginatics? Maginatics is an emerging leader in distributed enterprise storage solutions. We provide enterprises with distributed, scalable and secure
vcloud Director User's Guide
vcloud Director 5.5 This document supports the version of each product listed and supports all subsequent versions until the document is replaced by a new edition. To check for more recent editions of
Chapter 11 Distributed File Systems. Distributed File Systems
Chapter 11 Distributed File Systems Introduction Case studies NFS Coda 1 Distributed File Systems A distributed file system enables clients to access files stored on one or more remote file servers A file
EMC SYNCPLICITY FILE SYNC AND SHARE SOLUTION
EMC SYNCPLICITY FILE SYNC AND SHARE SOLUTION Automated file synchronization Flexible, cloud-based administration Secure, on-premises storage EMC Solutions January 2015 Copyright 2014 EMC Corporation. All
BlueArc unified network storage systems 7th TF-Storage Meeting. Scale Bigger, Store Smarter, Accelerate Everything
BlueArc unified network storage systems 7th TF-Storage Meeting Scale Bigger, Store Smarter, Accelerate Everything BlueArc s Heritage Private Company, founded in 1998 Headquarters in San Jose, CA Highest
Sanbolic s SAN Storage Enhancing Software Portfolio
Software to Simplify and Share SAN Storage Sanbolic s SAN Storage Enhancing Software Portfolio Overview of Product Suites www.sanbolic.com Version 2.0 Page 2 of 10 Contents About Sanbolic... 3 Sanbolic
F1: A Distributed SQL Database That Scales. Presentation by: Alex Degtiar ([email protected]) 15-799 10/21/2013
F1: A Distributed SQL Database That Scales Presentation by: Alex Degtiar ([email protected]) 15-799 10/21/2013 What is F1? Distributed relational database Built to replace sharded MySQL back-end of AdWords
CROSS PLATFORM AUTOMATIC FILE REPLICATION AND SERVER TO SERVER FILE SYNCHRONIZATION
1 E N D U R A D A T A EDpCloud: A File Synchronization, Data Replication and Wide Area Data Distribution Solution CROSS PLATFORM AUTOMATIC FILE REPLICATION AND SERVER TO SERVER FILE SYNCHRONIZATION 2 Resilient
Database Replication
Database Systems Journal vol. I, no. 2/2010 33 Database Replication Marius Cristian MAZILU Academy of Economic Studies, Bucharest, Romania [email protected], [email protected] For someone
A Comparison of Fault-Tolerant Cloud Storage File Systems
A Comparison of Fault-Tolerant Cloud Storage File Systems Steven Verkuil University of Twente P.O. Box 217, 7500AE Enschede The Netherlands [email protected] ABSTRACT There are many cloud storage
COSC 6374 Parallel Computation. Parallel I/O (I) I/O basics. Concept of a clusters
COSC 6374 Parallel Computation Parallel I/O (I) I/O basics Spring 2008 Concept of a clusters Processor 1 local disks Compute node message passing network administrative network Memory Processor 2 Network
A Survey of Shared File Systems
Technical Paper A Survey of Shared File Systems Determining the Best Choice for your Distributed Applications A Survey of Shared File Systems A Survey of Shared File Systems Table of Contents Introduction...
Web-Based Data Backup Solutions
"IMAGINE LOSING ALL YOUR IMPORTANT FILES, IS NOT OF WHAT FILES YOU LOSS BUT THE LOSS IN TIME, MONEY AND EFFORT YOU ARE INVESTED IN" The fact Based on statistics gathered from various sources: 1. 6% of
ZFS Backup Platform. ZFS Backup Platform. Senior Systems Analyst TalkTalk Group. http://milek.blogspot.com. Robert Milkowski.
ZFS Backup Platform Senior Systems Analyst TalkTalk Group http://milek.blogspot.com The Problem Needed to add 100's new clients to backup But already run out of client licenses No spare capacity left (tapes,
Snapshots in Hadoop Distributed File System
Snapshots in Hadoop Distributed File System Sameer Agarwal UC Berkeley Dhruba Borthakur Facebook Inc. Ion Stoica UC Berkeley Abstract The ability to take snapshots is an essential functionality of any
Cloud Store & Share Frequently Ask Questions
Cloud Store & Share Frequently Ask Questions Where can I find information about the offer, e.g. the price list? How can I order the service? What is the Cloud Store & Share Client? Where can I download
Data Management in the Cloud
Data Management in the Cloud Ryan Stern [email protected] : Advanced Topics in Distributed Systems Department of Computer Science Colorado State University Outline Today Microsoft Cloud SQL Server
Protect your data, against any disaster, in a safe place. backupremotebackupremotebackupremoteb. www.fortikup.com
Protect your data, against any disaster, in a safe place. backupremotebackupremotebackupremoteb What makes FORTIKUP the ultimate backup solution 1. Components with robust features The core server Offsite
Solaris For The Modern Data Center. Taking Advantage of Solaris 11 Features
Solaris For The Modern Data Center Taking Advantage of Solaris 11 Features JANUARY 2013 Contents Introduction... 2 Patching and Maintenance... 2 IPS Packages... 2 Boot Environments... 2 Fast Reboot...
Technical Brief: Global File Locking
Nasuni enables collaboration among users of files no matter where users are located Introduction The Nasuni Service combines the availability and scale of cloud storage with the local performance found
COSC 6397 Big Data Analytics. Distributed File Systems (II) Edgar Gabriel Spring 2014. HDFS Basics
COSC 6397 Big Data Analytics Distributed File Systems (II) Edgar Gabriel Spring 2014 HDFS Basics An open-source implementation of Google File System Assume that node failure rate is high Assumes a small
RAID Storage, Network File Systems, and DropBox
RAID Storage, Network File Systems, and DropBox George Porter CSE 124 February 24, 2015 * Thanks to Dave Patterson and Hong Jiang Announcements Project 2 due by end of today Office hour today 2-3pm in
CTERA Portal Datacenter Edition
Administrator Guide CTERA Portal Datacenter Edition November 2013 Version 4.0 Copyright 2009-2013 CTERA Networks Ltd. All rights reserved. No part of this document may be reproduced in any form or by any
Sheepdog: distributed storage system for QEMU
Sheepdog: distributed storage system for QEMU Kazutaka Morita NTT Cyber Space Labs. 9 August, 2010 Motivation There is no open source storage system which fits for IaaS environment like Amazon EBS IaaS
Introduction to Hadoop HDFS and Ecosystems. Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data
Introduction to Hadoop HDFS and Ecosystems ANSHUL MITTAL Slides credits: Cloudera Academic Partners Program & Prof. De Liu, MSBA 6330 Harvesting Big Data Topics The goal of this presentation is to give
Access All Your Files on All Your Devices
d Access All Your Files on All Your Devices The Best Performance, Features and Price for Private cloud storage for all platforms Windows, Mac, Linux, ios, Android, Blackberry & more Enterprise Private
Hitachi Cloud Service for Content Archiving On-Ramps Guide for Rocket Arkivio Autostor
Hitachi Cloud Service for Content Archiving On-Ramps Guide for Rocket Arkivio Autostor MK-93MNGSV010-00 Notices and Disclaimer Copyright 2015 Corporation. All rights reserved. 2011-2015 Hitachi, Ltd. All
Deploying a distributed data storage system on the UK National Grid Service using federated SRB
Deploying a distributed data storage system on the UK National Grid Service using federated SRB Manandhar A.S., Kleese K., Berrisford P., Brown G.D. CCLRC e-science Center Abstract As Grid enabled applications
High Availability Solutions for the MariaDB and MySQL Database
High Availability Solutions for the MariaDB and MySQL Database 1 Introduction This paper introduces recommendations and some of the solutions used to create an availability or high availability environment
Features of AnyShare
of AnyShare of AnyShare CONTENT Brief Introduction of AnyShare... 3 Chapter 1 Centralized Management... 5 1.1 Operation Management... 5 1.2 User Management... 5 1.3 User Authentication... 6 1.4 Roles...
CIS 4930/6930 Spring 2014 Introduction to Data Science /Data Intensive Computing. University of Florida, CISE Department Prof.
CIS 4930/6930 Spring 2014 Introduction to Data Science /Data Intensie Computing Uniersity of Florida, CISE Department Prof. Daisy Zhe Wang Map/Reduce: Simplified Data Processing on Large Clusters Parallel/Distributed
Software to Simplify and Share SAN Storage Sanbolic s SAN Storage Enhancing Software Portfolio
Software to Simplify and Share SAN Storage Sanbolic s SAN Storage Enhancing Software Portfolio www.sanbolic.com Table of Contents About Sanbolic... 3 Melio File System... 3 LaScala Volume Manager... 3
WISE-4000 Series. WISE IoT Wireless I/O Modules
WISE-4000 Series WISE IoT Wireless I/O Modules Bring Everything into World of the IoT WISE IoT Ethernet I/O Architecture Public Cloud App Big Data New WISE DNA Data Center Smart Configure File-based Cloud
Object Storage A Dell Point of View
Object Storage A Dell Point of View Dell Product Group 1 THIS POINT OF VIEW PAPER IS FOR INFORMATIONAL PURPOSES ONLY, AND MAY CONTAIN TYPOGRAPHICAL ERRORS AND TECHNICAL INACCURACIES. THE CONTENT IS PROVIDED
CS2510 Computer Operating Systems
CS2510 Computer Operating Systems HADOOP Distributed File System Dr. Taieb Znati Computer Science Department University of Pittsburgh Outline HDF Design Issues HDFS Application Profile Block Abstraction
CS2510 Computer Operating Systems
CS2510 Computer Operating Systems HADOOP Distributed File System Dr. Taieb Znati Computer Science Department University of Pittsburgh Outline HDF Design Issues HDFS Application Profile Block Abstraction
Backing Up the CTERA Portal Using Veeam Backup & Replication. CTERA Portal Datacenter Edition. May 2014 Version 4.0
Backing Up the CTERA Portal Using Veeam Backup & Replication CTERA Portal Datacenter Edition May 2014 Version 4.0 Copyright 2009-2014 CTERA Networks Ltd. All rights reserved. No part of this document may
Mezeo Software for the Enterprise
Solution Overview: Mezeo Software for the Enterprise 2012 Mezeo Software. All rights reserved. Mezeo Software 3900 Essex Lane Suite 600 Houston, Texas USA P: +1 713.244.0850 F: +1 713.244.0851 Table of
Web Email DNS Peer-to-peer systems (file sharing, CDNs, cycle sharing)
1 1 Distributed Systems What are distributed systems? How would you characterize them? Components of the system are located at networked computers Cooperate to provide some service No shared memory Communication
Parallels Cloud Storage
Parallels Cloud Storage White Paper Best Practices for Configuring a Parallels Cloud Storage Cluster www.parallels.com Table of Contents Introduction... 3 How Parallels Cloud Storage Works... 3 Deploying
Red Hat Cluster Suite
Red Hat Cluster Suite HP User Society / DECUS 17. Mai 2006 Joachim Schröder Red Hat GmbH Two Key Industry Trends Clustering (scale-out) is happening 20% of all servers shipped will be clustered by 2006.
International Journal of Advance Research in Computer Science and Management Studies
Volume 2, Issue 8, August 2014 ISSN: 2321 7782 (Online) International Journal of Advance Research in Computer Science and Management Studies Research Article / Survey Paper / Case Study Available online
