Distributed File Systems An Overview. Nürnberg, Dr. Christian Boehme, GWDG
|
|
- Jonathan Nickolas Greer
- 8 years ago
- Views:
Transcription
1 Distributed File Systems An Overview Nürnberg, Dr. Christian Boehme, GWDG
2 Introduction A distributed file system allows shared, file based access without sharing disks History starts in 1960s Vast selection for different use cases Complex taxonomy Distributed access Federated access This presentation covers more recent (free) solutions for typical, current use cases 2
3 FhGFS High Performance Computing Core Features and Use Cases Direct parallel access clients meta data server storage servers Core Features Distributed files and metadata Native support for HPC networks (Infiniband) Easy to setup and maintain POSIX support Now marketed as BeeGFS Use Cases Data storage for HPC clusters: Requires performance, but no high availability. On-demand provisioning of cross-server storage: Requires easy setup, but no high availability. 3
4 Hadoop FS Big Data Core Features and Use Cases data access Client Nam enode BackupNode state inform ation Core Features Same server for data and compute Replication prevents data loss Part of the Hadoop framework Extensive ecosystem of big data tools MapReduce, Pig (Computation) HBase (Database) Hive (Data Warehouse) Use Cases Really big data: nodes, 100+ PB data per cluster at Yahoo, Facebook... Any application using the Hadoop ecosystem: Performance and scalability, no POSIX required. 4
5 Ceph Cloud and Data Center Storage Core Features and Use Cases Low-Level API Object-Based Block-Based File-Based LIBRADOS Library access to RADOS: Java C, C++ Python RADOSGW REST S3 Interface RBD Block devices KVM / QEMU CEPH FS POSIX Kernel FUSE-Client Core Features Utilizes compute power of storage nodes (OSDs) and clients Data distribution for performance Data replication for redundancy Easily scalable by adding OSDs Self healing, self managing reliable autonomic distributed object store (RADOS) Use Cases Cost-efficient, flexible and scalable high-availability storage Storage for cloud and virtualization infrastructures (OpenStack) 5
6 irods Federated Data Access Core Features and Use Cases Trier Karlsruhe Replication Göttingen Core Features Data Management Middleware Rule Engine for policy enforcement Data replication between sites and data centers Creation of federated repositories beyond organizational boundaries Transparent access to remote site data from any site in the federation Central catalogue of access rights Use Cases Replication of archival research data between data centers (disaster prevention) Implementation of data management policies and workflows Federated data infrastructure 6
7 Conclusion Choose a file system with a scope that overlaps well with your use case Advanced policy requirements in data federations exceed the scope of typical distributed file systems. Data management middlewares - like irods - are a possible choices for realizing distributed data scenarios Solutions for simpler site distribution scenarios exist (replication) Choosing the wrong file system can be very expensive, when you have to migrate Petabytes of data 7
8 Distributed filesystem OpenAFS Over 20 years old and well tested Used by large organizations (CERN, DESY, Stanford Univ. and many others) Designed for use over the Internet Replicated read-only content Open source; very active development Available for a broad range of heterogeneous systems including UNIX, Linux, MacOS, Windows, ios Commercial support is available SEITE 8
9 OpenAFS Uses Kerberos (e.g., Active Directory) for security Federated access through Kerberos trust relations Encryption of network traffic between clients and servers SEITE 9
10 Contact Dr. Christian Boehme T F E christian.boehme@gwdg.de Oliver Schmitt T F E oliver.schmitt@gwdg.de GWDG - Gesellschaft für wissenschaftliche Datenverarbeitung mbh Göttingen Am Faßberg 11, Göttingen 10
SUSE Enterprise Storage Highly Scalable Software Defined Storage. Gábor Nyers Sales Engineer @SUSE gnyers@suse.com
SUSE Enterprise Storage Highly Scalable Software Defined Storage Gábor Nyers Sales Engineer @SUSE gnyers@suse.com Setting the Stage Enterprise Data Capacity Utilization 1-3% 15-20% 20-25% Tier 0 Ultra
More informationSep 23, 2014. OSBCONF 2014 Cloud backup with Bareos
Sep 23, 2014 OSBCONF 2014 Cloud backup with Bareos OSBCONF 23/09/2014 Content: Who am I Quick overview of Cloud solutions Bareos and Backup/Restore using Cloud Storage Bareos and Backup/Restore of Cloud
More informationProduct Spotlight. A Look at the Future of Storage. Featuring SUSE Enterprise Storage. Where IT perceptions are reality
Where IT perceptions are reality Product Spotlight A Look at the Future of Storage Featuring SUSE Enterprise Storage Document # SPOTLIGHT2013001 v5, January 2015 Copyright 2015 IT Brand Pulse. All rights
More informationCloud storage reloaded:
Cloud storage reloaded: Some aspects on operating distributed Linux file systems like Ceph and GlusterFS Udo Seidel Agenda Introduction/motivation Distributed storage Ceph and GlusterFS Operational considerations
More informationDreamObjects. Cloud Object Storage Powered by Ceph. Monday, November 5, 12
DreamObjects Cloud Object Storage Powered by Ceph This slide is all about me, me, me. Ross Turk Community Manager, Ceph VP Community, Inktank ross@inktank.com @rossturk inktank.com ceph.com 2 DreamHost
More informationSUSE Enterprise Storage Highly Scalable Software Defined Storage. Māris Smilga
SUSE Enterprise Storage Highly Scalable Software Defined Storage āris Smilga Storage Today Traditional Storage Arrays of disks with RAID for redundancy SANs based on Fibre Channel connectivity Total System
More informationHadoop. http://hadoop.apache.org/ Sunday, November 25, 12
Hadoop http://hadoop.apache.org/ What Is Apache Hadoop? The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using
More informationBuilding low cost disk storage with Ceph and OpenStack Swift
Background photo from: http://edelomahony.com/2011/07/25/loving-money-doesnt-bring-you-more/ Building low cost disk storage with Ceph and OpenStack Swift Paweł Woszuk, Maciej Brzeźniak TERENA TF-Storage
More informationTesting 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
More informationSUSE Linux uutuudet - kuulumiset SUSECon:sta
SUSE Linux uutuudet - kuulumiset SUSECon:sta Olli Tuominen Technology Specialist olli.tuominen@suse.com 2 SUSECon 13 4 days, 95 Sessions Keynotes, Breakout Sessions,Technology Showcase Case Studies, Technical
More informationEnhancing UNICORE Storage Management using Hadoop
Enhancing UNICORE Storage Management using Hadoop Distributed ib t File System Wasim Bari 2, Ahmed Shiraz Memon 1, Dr. Bernd Schuller 1 1. Jülich Supercomputing Centre, Forschungszentrum Jülich & 2. Institute
More informationEnabling High performance Big Data platform with RDMA
Enabling High performance Big Data platform with RDMA Tong Liu HPC Advisory Council Oct 7 th, 2014 Shortcomings of Hadoop Administration tooling Performance Reliability SQL support Backup and recovery
More informationStorage Virtualization in Cloud
Storage Virtualization in Cloud Cloud Strategy Partners, LLC Sponsored by: IEEE Educational Activities and IEEE Cloud Computing Course Presenter s Biography This IEEE Cloud Computing tutorial has been
More informationHadoop. Apache Hadoop is an open-source software framework for storage and large scale processing of data-sets on clusters of commodity hardware.
Hadoop Source Alessandro Rezzani, Big Data - Architettura, tecnologie e metodi per l utilizzo di grandi basi di dati, Apogeo Education, ottobre 2013 wikipedia Hadoop Apache Hadoop is an open-source software
More informationHadoop implementation of MapReduce computational model. Ján Vaňo
Hadoop implementation of MapReduce computational model Ján Vaňo What is MapReduce? A computational model published in a paper by Google in 2004 Based on distributed computation Complements Google s distributed
More informationAccelerating and Simplifying Apache
Accelerating and Simplifying Apache Hadoop with Panasas ActiveStor White paper NOvember 2012 1.888.PANASAS www.panasas.com Executive Overview The technology requirements for big data vary significantly
More informationIntroduction 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
More informationTake An Internal Look at Hadoop. Hairong Kuang Grid Team, Yahoo! Inc hairong@yahoo-inc.com
Take An Internal Look at Hadoop Hairong Kuang Grid Team, Yahoo! Inc hairong@yahoo-inc.com What s Hadoop Framework for running applications on large clusters of commodity hardware Scale: petabytes of data
More informationObject-based Storage in Big Data and Analytics. Ashish Nadkarni Research Director Storage IDC
Object-based Storage in Big Data and Analytics Ashish Nadkarni Research Director Storage IDC IDC s definition of Big Data and Analytics (BDA) Mix of data, talent, technology, processes, and services that
More informationCOURSE CONTENT Big Data and Hadoop Training
COURSE CONTENT Big Data and Hadoop Training 1. Meet Hadoop Data! Data Storage and Analysis Comparison with Other Systems RDBMS Grid Computing Volunteer Computing A Brief History of Hadoop Apache Hadoop
More informationTHE 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,
More informationBIG DATA TRENDS AND TECHNOLOGIES
BIG DATA TRENDS AND TECHNOLOGIES THE WORLD OF DATA IS CHANGING Cloud WHAT IS BIG DATA? Big data are datasets that grow so large that they become awkward to work with using onhand database management tools.
More informationHow To Improve Afs.Org For Free On A Pc Or Mac Or Ipad (For Free) For A Long Time (For A Long Term Time) For Free (For Cheap) For Your Computer Or Your Hard Drive) For The Long
Next Generation Storage Clouds Jeffrey Altman, President Your File System Inc. 29 September 2009 OpenAFS Roadmap? Or Wish List? At every Workshop and Conference a roadmap is presented but its not a roadmap
More informationwww.thinkparq.com www.beegfs.com
www.thinkparq.com www.beegfs.com KEY ASPECTS Maximum Flexibility Maximum Scalability BeeGFS supports a wide range of Linux distributions such as RHEL/Fedora, SLES/OpenSuse or Debian/Ubuntu as well as a
More informationData 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
More informationOpen source Google-style large scale data analysis with Hadoop
Open source Google-style large scale data analysis with Hadoop Ioannis Konstantinou Email: ikons@cslab.ece.ntua.gr Web: http://www.cslab.ntua.gr/~ikons Computing Systems Laboratory School of Electrical
More informationData-Intensive Programming. Timo Aaltonen Department of Pervasive Computing
Data-Intensive Programming Timo Aaltonen Department of Pervasive Computing Data-Intensive Programming Lecturer: Timo Aaltonen University Lecturer timo.aaltonen@tut.fi Assistants: Henri Terho and Antti
More informationOverview. Big Data in Apache Hadoop. - HDFS - MapReduce in Hadoop - YARN. https://hadoop.apache.org. Big Data Management and Analytics
Overview Big Data in Apache Hadoop - HDFS - MapReduce in Hadoop - YARN https://hadoop.apache.org 138 Apache Hadoop - Historical Background - 2003: Google publishes its cluster architecture & DFS (GFS)
More informationLarge scale processing using Hadoop. Ján Vaňo
Large scale processing using Hadoop Ján Vaňo What is Hadoop? Software platform that lets one easily write and run applications that process vast amounts of data Includes: MapReduce offline computing engine
More informationStorage Architectures for Big Data in the Cloud
Storage Architectures for Big Data in the Cloud Sam Fineberg HP Storage CT Office/ May 2013 Overview Introduction What is big data? Big Data I/O Hadoop/HDFS SAN Distributed FS Cloud Summary Research Areas
More informationHDFS Under the Hood. Sanjay Radia. Sradia@yahoo-inc.com Grid Computing, Hadoop Yahoo Inc.
HDFS Under the Hood Sanjay Radia Sradia@yahoo-inc.com 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
More informationENABLING GLOBAL HADOOP WITH EMC ELASTIC CLOUD STORAGE
ENABLING GLOBAL HADOOP WITH EMC ELASTIC CLOUD STORAGE Hadoop Storage-as-a-Service ABSTRACT This White Paper illustrates how EMC Elastic Cloud Storage (ECS ) can be used to streamline the Hadoop data analytics
More informationFlexible Scalable Hardware independent. Solutions for Long Term Archiving
Flexible Scalable Hardware independent Solutions for Long Term Archiving More than 20 years of experience in archival storage 2 OA HPA 2010 1992 2000 2004 2007 Mainframe Tape Libraries Open System Tape
More informationImplement Hadoop jobs to extract business value from large and varied data sets
Hadoop Development for Big Data Solutions: Hands-On You Will Learn How To: Implement Hadoop jobs to extract business value from large and varied data sets Write, customize and deploy MapReduce jobs to
More informationBusiness-centric Storage FUJITSU Hyperscale Storage System ETERNUS CD10000
Business-centric Storage FUJITSU Hyperscale Storage System ETERNUS CD10000 Clear the way for new business opportunities. Unlock the power of data. Overcoming storage limitations Unpredictable data growth
More informationDepartment of Computer Science University of Cyprus EPL646 Advanced Topics in Databases. Lecture 14
Department of Computer Science University of Cyprus EPL646 Advanced Topics in Databases Lecture 14 Big Data Management IV: Big-data Infrastructures (Background, IO, From NFS to HFDS) Chapter 14-15: Abideboul
More information東 海 大 學 資 訊 工 程 研 究 所 碩 士 論 文
東 海 大 學 資 訊 工 程 研 究 所 碩 士 論 文 指 導 教 授 : 楊 朝 棟 博 士 以 異 質 儲 存 技 術 實 作 一 個 軟 體 定 義 儲 存 服 務 Implementation of a Software-Defined Storage Service with Heterogeneous Storage Technologies 研 究 生 : 連 威 翔 中 華 民
More informationTHE ATLAS DISTRIBUTED DATA MANAGEMENT SYSTEM & DATABASES
THE ATLAS DISTRIBUTED DATA MANAGEMENT SYSTEM & DATABASES Vincent Garonne, Mario Lassnig, Martin Barisits, Thomas Beermann, Ralph Vigne, Cedric Serfon Vincent.Garonne@cern.ch ph-adp-ddm-lab@cern.ch XLDB
More informationXtreemFS 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
More informationHDFS. Hadoop Distributed File System
HDFS Kevin Swingler Hadoop Distributed File System File system designed to store VERY large files Streaming data access Running across clusters of commodity hardware Resilient to node failure 1 Large files
More informationTUT5605: Deploying an elastic Hadoop cluster Alejandro Bonilla
TUT5605: Deploying an elastic Hadoop cluster Alejandro Bonilla Sales Engineer abonilla@suse.com Agenda Overview Manual Deployment Orchestration Generic workload autoscaling Sahara Dedicated for Hadoop
More informationHow To Scale Out Of A Nosql Database
Firebird meets NoSQL (Apache HBase) Case Study Firebird Conference 2011 Luxembourg 25.11.2011 26.11.2011 Thomas Steinmaurer DI +43 7236 3343 896 thomas.steinmaurer@scch.at www.scch.at Michael Zwick DI
More informationCeph. 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
More informationBig Data Storage Options for Hadoop Sam Fineberg, HP Storage
Sam Fineberg, HP Storage SNIA Legal Notice The material contained in this tutorial is copyrighted by the SNIA unless otherwise noted. Member companies and individual members may use this material in presentations
More informationInstalling Hadoop over Ceph, Using High Performance Networking
WHITE PAPER March 2014 Installing Hadoop over Ceph, Using High Performance Networking Contents Background...2 Hadoop...2 Hadoop Distributed File System (HDFS)...2 Ceph...2 Ceph File System (CephFS)...3
More informationDesign 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 Outline Introduction Yet another file-system, why? Goals of Hadoop
More informationFrom Wikipedia, the free encyclopedia
Page 1 sur 5 Hadoop From Wikipedia, the free encyclopedia Apache Hadoop is a free Java software framework that supports data intensive distributed applications. [1] It enables applications to work with
More informationMr. Apichon Witayangkurn apichon@iis.u-tokyo.ac.jp Department of Civil Engineering The University of Tokyo
Sensor Network Messaging Service Hive/Hadoop Mr. Apichon Witayangkurn apichon@iis.u-tokyo.ac.jp Department of Civil Engineering The University of Tokyo Contents 1 Introduction 2 What & Why Sensor Network
More informationData Management using irods
Data Management using irods Fundamentals of Data Management September 2014 Albert Heyrovsky Applications Developer, EPCC a.heyrovsky@epcc.ed.ac.uk 2 Course outline Why talk about irods? What is irods?
More informationGRAU DATA Scalable OpenSource Storage CEPH, LIO, OPENARCHIVE
GRAU DATA Scalable OpenSource Storage CEPH, LIO, OPENARCHIVE GRAU DATA: More than 20 years experience in storage OPEN ARCHIVE 2007 2009 1992 2000 2004 Mainframe Tape Libraries Open System Tape Libraries
More informationHadoop: Embracing future hardware
Hadoop: Embracing future hardware Suresh Srinivas @suresh_m_s Page 1 About Me Architect & Founder at Hortonworks Long time Apache Hadoop committer and PMC member Designed and developed many key Hadoop
More informationWOS. High Performance Object Storage
Datasheet WOS High Performance Object Storage The Big Data explosion brings both challenges and opportunities to businesses across all industry verticals. Providers of online services are building infrastructures
More informationApplication Development. A Paradigm Shift
Application Development for the Cloud: A Paradigm Shift Ramesh Rangachar Intelsat t 2012 by Intelsat. t Published by The Aerospace Corporation with permission. New 2007 Template - 1 Motivation for the
More informationBuilding Storage-as-a-Service Businesses
White Paper Service Providers Greatest New Growth Opportunity: Building Storage-as-a-Service Businesses According to 451 Research, Storage as a Service represents a large and rapidly growing market with
More informationIntroduction to Big data. Why Big data? Case Studies. Introduction to Hadoop. Understanding Features of Hadoop. Hadoop Architecture.
Big Data Hadoop Administration and Developer Course This course is designed to understand and implement the concepts of Big data and Hadoop. This will cover right from setting up Hadoop environment in
More informationHadoop Ecosystem B Y R A H I M A.
Hadoop Ecosystem B Y R A H I M A. History of Hadoop Hadoop was created by Doug Cutting, the creator of Apache Lucene, the widely used text search library. Hadoop has its origins in Apache Nutch, an open
More information<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
More informationI/O Considerations in Big Data Analytics
Library of Congress I/O Considerations in Big Data Analytics 26 September 2011 Marshall Presser Federal Field CTO EMC, Data Computing Division 1 Paradigms in Big Data Structured (relational) data Very
More informationBlueArc 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
More informationIndexes 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: keiichi@iijlab.net
More informationBig Data Management and Security
Big Data Management and Security Audit Concerns and Business Risks Tami Frankenfield Sr. Director, Analytics and Enterprise Data Mercury Insurance What is Big Data? Velocity + Volume + Variety = Value
More informationCSE-E5430 Scalable Cloud Computing Lecture 2
CSE-E5430 Scalable Cloud Computing Lecture 2 Keijo Heljanko Department of Computer Science School of Science Aalto University keijo.heljanko@aalto.fi 14.9-2015 1/36 Google MapReduce A scalable batch processing
More informationCloud Computing Where ISR Data Will Go for Exploitation
Cloud Computing Where ISR Data Will Go for Exploitation 22 September 2009 Albert Reuther, Jeremy Kepner, Peter Michaleas, William Smith This work is sponsored by the Department of the Air Force under Air
More informationApache 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
More information<Insert Picture Here> Managing Storage in Private Clouds with Oracle Cloud File System OOW 2011 presentation
Managing Storage in Private Clouds with Oracle Cloud File System OOW 2011 presentation What We ll Cover Today Managing data growth Private Cloud definitions Oracle Cloud Storage architecture
More informationOpen Source for Cloud Infrastructure
Open Source for Cloud Infrastructure June 29, 2012 Jackson He General Manager, Intel APAC R&D Ltd. Cloud is Here and Expanding More users, more devices, more data & traffic, expanding usages >3B 15B Connected
More informationVM Image Hosting Using the Fujitsu* Eternus CD10000 System with Ceph* Storage Software
Intel Solutions Reference Architecture VM Image Hosting Using the Fujitsu* Eternus CD10000 System with Ceph* Storage Software Intel Xeon Processor E5-2600 v3 Product Family SRA Section: Audience and Purpose
More informationHigh Performance Computing OpenStack Options. September 22, 2015
High Performance Computing OpenStack PRESENTATION TITLE GOES HERE Options September 22, 2015 Today s Presenters Glyn Bowden, SNIA Cloud Storage Initiative Board HP Helion Professional Services Alex McDonald,
More informationBig Data and Apache Hadoop s MapReduce
Big Data and Apache Hadoop s MapReduce Michael Hahsler Computer Science and Engineering Southern Methodist University January 23, 2012 Michael Hahsler (SMU/CSE) Hadoop/MapReduce January 23, 2012 1 / 23
More informationCERN Cloud Storage Evaluation Geoffray Adde, Dirk Duellmann, Maitane Zotes CERN IT
SS Data & Storage CERN Cloud Storage Evaluation Geoffray Adde, Dirk Duellmann, Maitane Zotes CERN IT HEPiX Fall 2012 Workshop October 15-19, 2012 Institute of High Energy Physics, Beijing, China SS Outline
More informationImproving Scalability Of Storage System:Object Storage Using Open Stack Swift
Improving Scalability Of Storage System:Object Storage Using Open Stack Swift G.Kathirvel Karthika 1,R.C.Malathy 2,M.Keerthana 3 1,2,3 Student of Computer Science and Engineering, R.M.K Engineering College,Kavaraipettai.
More informationWeekly Report. Hadoop Introduction. submitted By Anurag Sharma. Department of Computer Science and Engineering. Indian Institute of Technology Bombay
Weekly Report Hadoop Introduction submitted By Anurag Sharma Department of Computer Science and Engineering Indian Institute of Technology Bombay Chapter 1 What is Hadoop? Apache Hadoop (High-availability
More informationVirtualizing Apache Hadoop. June, 2012
June, 2012 Table of Contents EXECUTIVE SUMMARY... 3 INTRODUCTION... 3 VIRTUALIZING APACHE HADOOP... 4 INTRODUCTION TO VSPHERE TM... 4 USE CASES AND ADVANTAGES OF VIRTUALIZING HADOOP... 4 MYTHS ABOUT RUNNING
More informationHadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software?
Hadoop 只 支 援 用 Java 開 發 嘛? Is Hadoop only support Java? 總 不 能 全 部 都 重 新 設 計 吧? 如 何 與 舊 系 統 相 容? Can Hadoop work with existing software? 可 以 跟 資 料 庫 結 合 嘛? Can Hadoop work with Databases? 開 發 者 們 有 聽 到
More informationDiagram 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,
More informationA very short Intro to Hadoop
4 Overview A very short Intro to Hadoop photo by: exfordy, flickr 5 How to Crunch a Petabyte? Lots of disks, spinning all the time Redundancy, since disks die Lots of CPU cores, working all the time Retry,
More informationCase Study : 3 different hadoop cluster deployments
Case Study : 3 different hadoop cluster deployments Lee moon soo moon@nflabs.com HDFS as a Storage Last 4 years, our HDFS clusters, stored Customer 1500 TB+ data safely served 375,000 TB+ data to customer
More informationHadoop@LaTech ATLAS Tier 3
Cerberus Hadoop Hadoop@LaTech ATLAS Tier 3 David Palma DOSAR Louisiana Tech University January 23, 2013 Cerberus Hadoop Outline 1 Introduction Cerberus Hadoop 2 Features Issues Conclusions 3 Cerberus Hadoop
More informationIntroduction to Big Data & Basic Data Analysis. Freddy Wetjen, National Library of Norway.
Introduction to Big Data & Basic Data Analysis Freddy Wetjen, National Library of Norway. Big Data EveryWhere! Lots of data may be collected and warehoused Web data, e-commerce purchases at department/
More informationUsing Hadoop for Webscale Computing. Ajay Anand Yahoo! aanand@yahoo-inc.com Usenix 2008
Using Hadoop for Webscale Computing Ajay Anand Yahoo! aanand@yahoo-inc.com Agenda The Problem Solution Approach / Introduction to Hadoop HDFS File System Map Reduce Programming Pig Hadoop implementation
More informationHadoop and Map-Reduce. Swati Gore
Hadoop and Map-Reduce Swati Gore Contents Why Hadoop? Hadoop Overview Hadoop Architecture Working Description Fault Tolerance Limitations Why Map-Reduce not MPI Distributed sort Why Hadoop? Existing Data
More informationWrite a technical report Present your results Write a workshop/conference paper (optional) Could be a real system, simulation and/or theoretical
Identify a problem Review approaches to the problem Propose a novel approach to the problem Define, design, prototype an implementation to evaluate your approach Could be a real system, simulation and/or
More informationCSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop)
CSE 590: Special Topics Course ( Supercomputing ) Lecture 10 ( MapReduce& Hadoop) Rezaul A. Chowdhury Department of Computer Science SUNY Stony Brook Spring 2016 MapReduce MapReduce is a programming model
More informationAddressing Open Source Big Data, Hadoop, and MapReduce limitations
Addressing Open Source Big Data, Hadoop, and MapReduce limitations 1 Agenda What is Big Data / Hadoop? Limitations of the existing hadoop distributions Going enterprise with Hadoop 2 How Big are Data?
More informationConstructing a Data Lake: Hadoop and Oracle Database United!
Constructing a Data Lake: Hadoop and Oracle Database United! Sharon Sophia Stephen Big Data PreSales Consultant February 21, 2015 Safe Harbor The following is intended to outline our general product direction.
More informationApache Hadoop FileSystem and its Usage in Facebook
Apache Hadoop FileSystem and its Usage in Facebook Dhruba Borthakur Project Lead, Apache Hadoop Distributed File System dhruba@apache.org Presented at Indian Institute of Technology November, 2010 http://www.facebook.com/hadoopfs
More informationScientific Computing Data Management Visions
Scientific Computing Data Management Visions ELI-Tango Workshop Szeged, 24-25 February 2015 Péter Szász Group Leader Scientific Computing Group ELI-ALPS Scientific Computing Group Responsibilities Data
More informationXtreemStore A SCALABLE STORAGE MANAGEMENT SOFTWARE WITHOUT LIMITS YOUR DATA. YOUR CONTROL
XtreemStore A SCALABLE STORAGE MANAGEMENT SOFTWARE WITHOUT LIMITS YOUR DATA. YOUR CONTROL Archive Manager - the Basis for XtreemStore DMS Email / Files ScienDfic Others PACS VIDEO PrePress CAD/CAM NFS
More informationAn Industrial Perspective on the Hadoop Ecosystem. Eldar Khalilov Pavel Valov
An Industrial Perspective on the Hadoop Ecosystem Eldar Khalilov Pavel Valov agenda 03.12.2015 2 agenda Introduction 03.12.2015 2 agenda Introduction Research goals 03.12.2015 2 agenda Introduction Research
More informationStorage solutions for a. infrastructure. Giacinto DONVITO INFN-Bari. Workshop on Cloud Services for File Synchronisation and Sharing
Storage solutions for a productionlevel cloud infrastructure Giacinto DONVITO INFN-Bari Synchronisation and Sharing 1 Outline Use cases Technologies evaluated Implementation (hw and sw) Problems and optimization
More informationScalable Services for Digital Preservation
Scalable Services for Digital Preservation A Perspective on Cloud Computing Rainer Schmidt, Christian Sadilek, and Ross King Digital Preservation (DP) Providing long-term access to growing collections
More informationWHITEPAPER. A Technical Perspective on the Talena Data Availability Management Solution
WHITEPAPER A Technical Perspective on the Talena Data Availability Management Solution BIG DATA TECHNOLOGY LANDSCAPE Over the past decade, the emergence of social media, mobile, and cloud technologies
More informationBuilding Storage as a Service with OpenStack. Greg Elkinbard Senior Technical Director
Building Storage as a Service with OpenStack Greg Elkinbard Senior Technical Director MIRANTIS 2012 PAGE 1 About the Presenter Greg Elkinbard Senior Technical Director at Mirantis Builds on demand IaaS
More informationCeph. A complete introduction.
Ceph A complete introduction. Itinerary What is Ceph? What s this CRUSH thing? Components Installation Logical structure Extensions Ceph is An open-source, scalable, high-performance, distributed (parallel,
More informationA bit about Hadoop. Luca Pireddu. March 9, 2012. CRS4Distributed Computing Group. luca.pireddu@crs4.it (CRS4) Luca Pireddu March 9, 2012 1 / 18
A bit about Hadoop Luca Pireddu CRS4Distributed Computing Group March 9, 2012 luca.pireddu@crs4.it (CRS4) Luca Pireddu March 9, 2012 1 / 18 Often seen problems Often seen problems Low parallelism I/O is
More informationScalable Cloud Computing Solutions for Next Generation Sequencing Data
Scalable Cloud Computing Solutions for Next Generation Sequencing Data Matti Niemenmaa 1, Aleksi Kallio 2, André Schumacher 1, Petri Klemelä 2, Eija Korpelainen 2, and Keijo Heljanko 1 1 Department of
More informationTechnical. Overview. ~ a ~ irods version 4.x
Technical Overview ~ a ~ irods version 4.x The integrated Ru e-oriented DATA System irods is open-source, data management software that lets users: access, manage, and share data across any type or number
More informationSector vs. Hadoop. A Brief Comparison Between the Two Systems
Sector vs. Hadoop A Brief Comparison Between the Two Systems Background Sector is a relatively new system that is broadly comparable to Hadoop, and people want to know what are the differences. Is Sector
More informationLike what you hear? Tweet it using: #Sec360
Like what you hear? Tweet it using: #Sec360 HADOOP SECURITY Like what you hear? Tweet it using: #Sec360 HADOOP SECURITY About Robert: School: UW Madison, U St. Thomas Programming: 15 years, C, C++, Java
More informationIBM General Parallel File System (GPFS ) 3.5 File Placement Optimizer (FPO)
IBM General Parallel File System (GPFS ) 3.5 File Placement Optimizer (FPO) Rick Koopman IBM Technical Computing Business Development Benelux Rick_koopman@nl.ibm.com Enterprise class replacement for HDFS
More information