Data Storage in Clouds
|
|
|
- Kristian Houston
- 10 years ago
- Views:
Transcription
1 Data Storage in Clouds Jan Stender Zuse Institute Berlin contrail is co-funded by the EC 7th Framework Programme 1
2 Overview Introduction Motivation Challenges Requirements Cloud Storage Systems XtreemFS a Cloud File System Distribution Replication Security Customization Future Work and Research 2
3 Motivation Data Storage in the Cloud Why? Access to infinite storage on demand No need for expensive dedicated hardware No need for over-provisioning
4 Challenges Sounds good, but what about... Availability? Privacy? Performance? Interfaces? Data Safety? Access Control? Flexibility? 4
5 User Requirements Data Access Through well-known, standardized interfaces (POSIX, HDFS, S3, ) From everywhere (inside and outside the cloud) Data Protection From loss due to corruption or device failures From unauthorized access Data Availability At any time (regardless of hardware failures) With high throughput and low latency 5
6 System Requirements Elasticity / Scalability Scale-out rather than scale-up: add new servers to increase capacity Maintainability Self-management capabilities Monitoring support (SNMP, Ganglia,...) 6
7 Cloud Storage Systems Amazon S3 Oxygen Google Storage OpenStack Object Storage Rackspace Cloud Files CloudFS Windows Azure Storage Walrus Ubuntu One Dropbox However, most do not offer file system semantics! Typically vendor-specific storage models and interfaces Sometimes restricted to write-once semantics Only weak consistency guarantees for replicas 7
8 Cloud Storage Systems Why a cloud file system? Compatible with any (legacy) application No source code adaption necessary Familiar semantics and behavior (e.g. POSIX) 8
9 XtreemFS a Cloud File System Distributed Replicated Secure Customizable 9
10 XtreemFS a Cloud File System Distributed Replicated Secure Customizable 10
11 XtreemFS Internet Cluster FS/ Datacenter Network FS/ Centralized PC ext3, ZFS, NTFS NFS, SMB AFS/Coda Lustre, Panasas, GPFS, CEPH Grid File System GFarm GDM "gridftp"
12 XtreemFS Architecture 12
13 XtreemFS a Cloud File System Distributed Replicated Secure Customizable 13
14 XtreemFS Replication Why? Availability Data safety Performance What? Files Metadata System and configuration information How? Different replication modes 14
15 Read-only File Replication Only for write-once files Fast data distribution P2P data transfer w/ different strategies Locality-aware data access Use cases: data archive, CDN Load balancing, data safety Clients can preferably access closest replicas No consistency issues 15
16 Read-write File Replication Any replica may be read or written Primary-backup model to ensure consistency Primary fail-over guaranteed through leases Primary enforces total order on all updates Lease timeout revokes primary status Decentralized lease coordination algorithm ( Flease ) 16
17 Metadata Replication Metadata stored in key-value database BabuDB: key-value store optimized for file system metadata FS directory tree mapped to flat key-value pairs Metadata update = group of key-value pair inserts 17
18 Metadata Replication Replication at database level Primary-backup w/ failover (Flease) Updates directed to primary Primary propagates keyvalue pair insert groups to backups Same scheme for service and volume registry replication 18
19 XtreemFS a Cloud File System Distributed Replicated Secure Customizable 19
20 XtreemFS Security Authentication X.509 certificates Mutual client-server authentication Encryption Optional traffic encryption w/ SSL 20
21 XtreemFS Security Authorization UID + GID extracted from certificate DN Authorization enforced by MRC only! Capabilities OSD checks signed authorization token ( capability ) issued by MRC 21
22 XtreemFS a Cloud File System Distributed Replicated Secure Customizable 22
23 XtreemFS Customization Policies define XtreemFS behavior Authorization Authentication Replica placement and selection Selection of OSDs for new files Mapping between local to global users Striping Plug-in mechanism for user-defined policies Examples Only use OSDs located in France for new files Enforce access control with POSIX ('rwx') semantics Read-only-replicate new files three times on close Preferably access those replicas that are close to the client 23
24 XtreemFS in Contrail Global Autonomous File System (GAFS) Storage repository For user data For VM images For system data (e.g. system logs) 24
25 Future Work and Research Autonomous replication Service levels Offer different service classes e.g. prefer user X over user Y, user I/O over replication I/O, etc. Support for cloud storage interfaces Automatic creation and deletion of replicas Replacement of unavailable replicas HDFS, S3, CDMI, Other features End-to-end data checksums and encryption Client-side data caching HSM Deduplication 25
26 contrail is co-funded by the EC 7th Framework Programme Funded under: FP7 (Seventh Framework Programme) Area: Internet of Services, Software & virtualization (ICT ) Project reference: Total cost: 11,29 million euro EU contribution: 8,3 million euro Execution: From till Duration: 36 months Contract type: Collaborative project (generic) 26
27 XtreemFS: Overview What is XtreemFS? a distributed and replicated POSIX compliant file system off-the-shelve servers no expensive hardware servers in Java, runs on any Java-enabled platform client in C++, runs on Linux / OS X / Windows secure (X.509 and SSL) easy to install and maintain open source (GPL)
28 Open Source License: currently GPLv2, next release BSD Development team: 5 developers at ZIB (3 full-time + 2 student) Community: users and bug reporters mailing list with ~100 subscribers User projects: MOSGRID (D-Grid), VDZ (AIP) XtreemFS Overview Jan Stender/Björn Kolbeck 28
29 Features Current Version (1.2) Striping Read-only replication and partial replicas SSL, X.509 support Linux, Windows, Mac OS X Async. metadata backups Automatic replica selection POSIX compliant (interface & semantics) Tools for consistency checks Graphical management and monitoring tool XtreemFS Overview Jan Stender/Björn Kolbeck 29
30 Limits (theoretical) / Operating Systems Limits file size: 294, but Linux limits file sizes to 264 max. files/directories per volume: max. files per directory: same as max. files per volume max. number of volumes: max. size of the metadata database: 263 on 64bit systens 2GB on 32bit system (version 1.3 will also support larger databases on 32bit machines) Supported Operating Systems Servers: any platform with Java 1.6 (Linux, Solaris, Windows, OS X) Client: any platform with FUSE (Linux, OS X, FreeBSD) and Windows (DOKAN) XtreemFS Overview Jan Stender/Björn Kolbeck 30
31 Metadata Management LSM-Tree based backend for MRC key-value store, non-transactional optimized for MRC and file system workloads asynchronous checkpoints and snapshots short recovery and start-up times performance: 300,000 lookups/sec (30M entries) XtreemFS Overview Jan Stender/Björn Kolbeck 31
32 Metadata: Mapping in Detail File and Metadata Replication in XtreemFS Björn Kolbeck 32
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
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
XtreemFS - a distributed and replicated cloud file system
XtreemFS - a distributed and replicated cloud file system Michael Berlin Zuse Institute Berlin DESY Computing Seminar, 16.05.2011 Who we are Zuse Institute Berlin operates the HLRN supercomputer (#63+64)
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
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
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
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.
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,
Storage 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
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
<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
<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
Cloud Optimize Your IT
Cloud Optimize Your IT Windows Server 2012 The information contained in this presentation relates to a pre-release product which may be substantially modified before it is commercially released. This pre-release
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
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
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]
Eloquence Training What s new in Eloquence B.08.00
Eloquence Training What s new in Eloquence B.08.00 2010 Marxmeier Software AG Rev:100727 Overview Released December 2008 Supported until November 2013 Supports 32-bit and 64-bit platforms HP-UX Itanium
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
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
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)
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...
Cloud Federations in Contrail
Cloud Federations in Contrail Emanuele Carlini 1,3, Massimo Coppola 1, Patrizio Dazzi 1, Laura Ricci 1,2, GiacomoRighetti 1,2 " 1 - CNR - ISTI, Pisa, Italy" 2 - University of Pisa, C.S. Dept" 3 - IMT Lucca,
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
Investigating Private Cloud Storage Deployment using Cumulus, Walrus, and OpenStack/Swift
Investigating Private Cloud Storage Deployment using Cumulus, Walrus, and OpenStack/Swift Prakashan Korambath Institute for Digital Research and Education (IDRE) 5308 Math Sciences University of California,
Where We Are. References. Cloud Computing. Levels of Service. Cloud Computing History. Introduction to Data Management CSE 344
Where We Are Introduction to Data Management CSE 344 Lecture 25: DBMS-as-a-service and NoSQL We learned quite a bit about data management see course calendar Three topics left: DBMS-as-a-service and NoSQL
DATA SECURITY MODEL FOR CLOUD COMPUTING
DATA SECURITY MODEL FOR CLOUD COMPUTING POOJA DHAWAN Assistant Professor, Deptt of Computer Application and Science Hindu Girls College, Jagadhri 135 001 [email protected] ABSTRACT Cloud Computing
Cloud Computing: Meet the Players. Performance Analysis of Cloud Providers
BASEL UNIVERSITY COMPUTER SCIENCE DEPARTMENT Cloud Computing: Meet the Players. Performance Analysis of Cloud Providers Distributed Information Systems (CS341/HS2010) Report based on D.Kassman, T.Kraska,
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
RED HAT STORAGE SERVER TECHNICAL OVERVIEW
RED HAT STORAGE SERVER TECHNICAL OVERVIEW Ingo Börnig Solution Architect, Red Hat 24.10.2013 NEW STORAGE REQUIREMENTS FOR THE MODERN HYBRID DATACENTER DESIGNED FOR THE NEW DATA LANDSCAPE PETABYTE SCALE
SQL Server on Azure An e2e Overview. Nosheen Syed Principal Group Program Manager Microsoft
SQL Server on Azure An e2e Overview Nosheen Syed Principal Group Program Manager Microsoft Dedicated Higher cost Shared Lower cost SQL Server Cloud Continuum Hybrid SQL Server in Azure VM Virtualized Machines
StorPool Distributed Storage Software Technical Overview
StorPool Distributed Storage Software Technical Overview StorPool 2015 Page 1 of 8 StorPool Overview StorPool is distributed storage software. It pools the attached storage (hard disks or SSDs) of standard
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 Outline Introduction Yet another file-system, why? Goals of Hadoop
Oracle TimesTen In-Memory Database on Oracle Exalogic Elastic Cloud
An Oracle White Paper July 2011 Oracle TimesTen In-Memory Database on Oracle Exalogic Elastic Cloud Executive Summary... 3 Introduction... 4 Hardware and Software Overview... 5 Compute Node... 5 Storage
WHITE PAPER. Software Defined Storage Hydrates the Cloud
WHITE PAPER Software Defined Storage Hydrates the Cloud Table of Contents Overview... 2 NexentaStor (Block & File Storage)... 4 Software Defined Data Centers (SDDC)... 5 OpenStack... 5 CloudStack... 6
Creating a Cloud Backup Service. Deon George
Creating a Cloud Backup Service Deon George Agenda TSM Cloud Service features Cloud Service Customer, providing a internal backup service Internal Backup Cloud Service Service Provider, providing a backup
A Survey on Cloud Storage Systems
A Survey on Cloud Storage Systems Team : Xiaoming Xiaogang Adarsh Abhijeet Pranav Motivations No Taxonomy Detailed Survey for users Starting point for researchers Taxonomy Category Definition Example Instance
Cloud Computing For Bioinformatics
Cloud Computing For Bioinformatics Cloud Computing: what is it? Cloud Computing is a distributed infrastructure where resources, software, and data are provided in an on-demand fashion. Cloud Computing
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
Why is it a better NFS server for Enterprise NAS?
NFS-Ganesha Why is it a better NFS server for Enterprise NAS? Venkateswararao Jujjuri (JV) File systems and Storage Architect IBM Linux Technology center [email protected] [email protected] Outline What
2) Xen Hypervisor 3) UEC
5. Implementation Implementation of the trust model requires first preparing a test bed. It is a cloud computing environment that is required as the first step towards the implementation. Various tools
Windows Server 2012 授 權 說 明
Windows Server 2012 授 權 說 明 PROCESSOR + CAL HA 功 能 相 同 的 記 憶 體 及 處 理 器 容 量 虛 擬 化 Windows Server 2008 R2 Datacenter Price: NTD173,720 (2 CPU) Packaging All features Unlimited virtual instances Per processor
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
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
Big data Devices Apps
Trends driving IT pressures Cloud Big data Devices Apps Devices: Info Workers Will Erase Boundary Between enterprise And Consumer Technologies. Forrester Research. August 30, 2012 Apps: Gartner: Predicts
SMB in the Cloud David Disseldorp
SMB in the Cloud David Disseldorp Samba Team / SUSE [email protected] Agenda Cloud storage Common types Interfaces Applications Cloud file servers Microsoft Azure File Service Demonstration Amazon Elastic
We look beyond IT. Cloud Offerings
Cloud Offerings cstor Cloud Offerings As today s fast-moving businesses deal with increasing demands for IT services and decreasing IT budgets, the onset of cloud-ready solutions has provided a forward-thinking
Infortrend EonNAS 3000 and 5000: Key System Features
Infortrend EonNAS 3000 and 5000: Key System Features White paper Abstract This document introduces Infortrend s EonNAS 3000 and 5000 systems and analyzes key features available on these systems. Table
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
DISTRIBUTED SYSTEMS [COMP9243] Lecture 9a: Cloud Computing WHAT IS CLOUD COMPUTING? 2
DISTRIBUTED SYSTEMS [COMP9243] Lecture 9a: Cloud Computing Slide 1 Slide 3 A style of computing in which dynamically scalable and often virtualized resources are provided as a service over the Internet.
Compatibility and Support Information Nasuni Corporation Natick, MA
Information Nasuni Corporation Natick, MA Contents 1. Introduction... 1 2.... 1 2.1. Virtualization platforms... 1 3. Filers... 2 3.1. Filer properties... 2 3.2. Clients... 3 3.3. VSS... 7 3.4. Security...
Cloud Computing. Adam Barker
Cloud Computing Adam Barker 1 Overview Introduction to Cloud computing Enabling technologies Different types of cloud: IaaS, PaaS and SaaS Cloud terminology Interacting with a cloud: management consoles
STREAD CLOUD BACKUP MILITARY-GRADE ONLINE BACKUP BUILT FOR YOUR BUSINESS
STREAD CLOUD BACKUP MILITARY-GRADE ONLINE BACKUP BUILT FOR YOUR BUSINESS STREAD Cloud Backup is an affordable backup and recovery solution for all your mission critical business information on all devices
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,
Leveraging BlobSeer to boost up the deployment and execution of Hadoop applications in Nimbus cloud environments on Grid 5000
Leveraging BlobSeer to boost up the deployment and execution of Hadoop applications in Nimbus cloud environments on Grid 5000 Alexandra Carpen-Amarie Diana Moise Bogdan Nicolae KerData Team, INRIA Outline
Alliance Key Manager Solution Brief
Alliance Key Manager Solution Brief KEY MANAGEMENT Enterprise Encryption Key Management On the road to protecting sensitive data assets, data encryption remains one of the most difficult goals. A major
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
Open Directory. Apple s standards-based directory and network authentication services architecture. Features
Open Directory Apple s standards-based directory and network authentication services architecture. Features Scalable LDAP directory server OpenLDAP for providing standards-based access to centralized data
Boas Betzler. Planet. Globally Distributed IaaS Platform Examples AWS and SoftLayer. November 9, 2015. 20014 IBM Corporation
Boas Betzler Cloud IBM Distinguished Computing Engineer for a Smarter Planet Globally Distributed IaaS Platform Examples AWS and SoftLayer November 9, 2015 20014 IBM Corporation Building Data Centers The
Availability for the modern datacentre Veeam Availability Suite v8 & Sneakpreview v9
Veeam Summer School Availability for the modern datacentre Veeam Availability Suite v8 & Sneakpreview v9 Jan van Leuken System Engineer Benelux, Veeam Software [email protected] +31 (0)615 83 50
Mobile Cloud Computing T-110.5121 Open Source IaaS
Mobile Cloud Computing T-110.5121 Open Source IaaS Tommi Mäkelä, Otaniemi Evolution Mainframe Centralized computation and storage, thin clients Dedicated hardware, software, experienced staff High capital
StorReduce Technical White Paper Cloud-based Data Deduplication
StorReduce Technical White Paper Cloud-based Data Deduplication See also at storreduce.com/docs StorReduce Quick Start Guide StorReduce FAQ StorReduce Solution Brief, and StorReduce Blog at storreduce.com/blog
CS 6343: CLOUD COMPUTING Term Project
CS 6343: CLOUD COMPUTING Term Project Group A1 Project: IaaS cloud middleware Create a cloud environment with a number of servers, allowing users to submit their jobs, scale their jobs Make simple resource
Alliance Key Manager A Solution Brief for Technical Implementers
KEY MANAGEMENT Alliance Key Manager A Solution Brief for Technical Implementers Abstract This paper is designed to help technical managers, product managers, and developers understand how Alliance Key
ConPaaS: an integrated runtime environment for elastic cloud applications
ConPaaS: an integrated runtime environment for elastic cloud applications Guillaume Pierre Vrije Universiteit Amsterdam July 24th 2012 contrail is co-funded by the EC 7th Framework Programme under Grant
Analisi di un servizio SRM: StoRM
27 November 2007 General Parallel File System (GPFS) The StoRM service Deployment configuration Authorization and ACLs Conclusions. Definition of terms Definition of terms 1/2 Distributed File System The
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
CERN 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
Red Hat Storage Server
Red Hat Storage Server Marcel Hergaarden Solution Architect, Red Hat [email protected] May 23, 2013 Unstoppable, OpenSource Software-based Storage Solution The Foundation for the Modern Hybrid
Collaborate on your projects in a secure environment. Physical security. World-class datacenters. Uptime over 99%
Security overview Collaborate on your projects in a secure environment Thousands of businesses, including Fortune 500 corporations, trust Wrike for managing their projects through collaboration in the
The Storfirst Gateway Storage Operating System:
The Storfirst Gateway Storage Operating System: Cloud-as-a-Tier ILM A Technical Marketing Whitepaper version 5.0 Q1 STORFIRST Making the Hybrid Cloud Model Work The proliferation of low cost/high performance
Why SaaS (Software as a Service) and not COTS (Commercial Off The Shelf software)?
SaaS vs. COTS Why SaaS (Software as a Service) and not COTS (Commercial Off The Shelf software)? Unlike COTS solutions, SIMCO s CERDAAC is software that is offered as a service (SaaS). This offers several
Feature Comparison. Windows Server 2008 R2 Hyper-V and Windows Server 2012 Hyper-V
Comparison and Contents Introduction... 4 More Secure Multitenancy... 5 Flexible Infrastructure... 9 Scale, Performance, and Density... 13 High Availability... 18 Processor and Memory Support... 24 Network...
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
RED HAT STORAGE PORTFOLIO OVERVIEW
RED HAT STORAGE PORTFOLIO OVERVIEW Andrew Hatfield Practice Lead Cloud Storage and Big Data MILCIS November 2015 THE RED HAT STORAGE MISSION To offer a unified, open software-defined storage portfolio
Amazon Cloud Storage Options
Amazon Cloud Storage Options Table of Contents 1. Overview of AWS Storage Options 02 2. Why you should use the AWS Storage 02 3. How to get Data into the AWS.03 4. Types of AWS Storage Options.03 5. Object
THE FUTURE OF STORAGE IS SOFTWARE DEFINED. Jasper Geraerts Business Manager Storage Benelux/Red Hat
THE FUTURE OF STORAGE IS SOFTWARE DEFINED Jasper Geraerts Business Manager Storage Benelux/Red Hat THE FUTURE OF STORAGE Traditional Storage Complex proprietary silos Open, Software-Defined Storage Standardized,
CUMULUX WHICH CLOUD PLATFORM IS RIGHT FOR YOU? COMPARING CLOUD PLATFORMS. Review Business and Technology Series www.cumulux.com
` CUMULUX WHICH CLOUD PLATFORM IS RIGHT FOR YOU? COMPARING CLOUD PLATFORMS Review Business and Technology Series www.cumulux.com Table of Contents Cloud Computing Model...2 Impact on IT Management and
Next Generation Tier 1 Storage
Next Generation Tier 1 Storage Shaun de Witt (STFC) With Contributions from: James Adams, Rob Appleyard, Ian Collier, Brian Davies, Matthew Viljoen HEPiX Beijing 16th October 2012 Why are we doing this?
Acronis Storage Gateway
Acronis Storage Gateway DEPLOYMENT GUIDE Revision: 12/30/2015 Table of contents 1 Introducing Acronis Storage Gateway...3 1.1 Supported storage backends... 3 1.2 Architecture and network diagram... 4 1.3
MS-55021 - Configuring and Administering Hyper-V in Windows Server 2012
www.etidaho.com (208) 327-0768 MS-55021 - Configuring and Administering Hyper-V in Windows Server 2012 3 Days Course Description Overview: This three-day instructor-led course provides students with the
Cloud n Service Presentation. NTT Communications Corporation Cloud Services
Cloud n Service Presentation NTT Communications Corporation Cloud Services 1 Overview of Global Public Cloud Services Cloud n offeres datacenters in U.S. and Japan Global standard service architecture
References. Introduction to Database Systems CSE 444. Motivation. Basic Features. Outline: Database in the Cloud. Outline
References Introduction to Database Systems CSE 444 Lecture 24: Databases as a Service YongChul Kwon Amazon SimpleDB Website Part of the Amazon Web services Google App Engine Datastore Website Part of
Introduction to Database Systems CSE 444
Introduction to Database Systems CSE 444 Lecture 24: Databases as a Service YongChul Kwon References Amazon SimpleDB Website Part of the Amazon Web services Google App Engine Datastore Website Part of
DISK IMAGE BACKUP. For Physical Servers. VEMBU TECHNOLOGIES www.vembu.com TRUSTED BY OVER 25,000 BUSINESSES
DISK IMAGE BACKUP For Physical Servers VEMBU TECHNOLOGIES www.vembu.com Copyright Information Information in this document is subject to change without notice. The entire risk of the use or the results
GPFS-OpenStack Integration. Dinesh Subhraveti IBM Research
GPFS-OpenStack Integration Dinesh Subhraveti IBM Research GPFS File Placement Optimization Tradi5onal shared architecture Shared nothing architecture SAN I/O bo*leneck Scale out performance GPFS cluster
70-414: Implementing a Cloud Based Infrastructure. Course Overview
70-414: Implementing a Cloud Based Infrastructure Course Overview This course covers will prepare the student for Exam 70-414: Implementing a Cloud Based Infrastructure. Students will learn how to create
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
A Deduplication File System & Course Review
A Deduplication File System & Course Review Kai Li 12/13/12 Topics A Deduplication File System Review 12/13/12 2 Traditional Data Center Storage Hierarchy Clients Network Server SAN Storage Remote mirror
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
The last 18 months. AutoScale. IaaS. BizTalk Services Hyper-V Disaster Recovery Support. Multi-Factor Auth. Hyper-V Recovery.
Offline Operations Traffic ManagerLarge Memory SKU SQL, SharePoint, BizTalk Images HDInsight Windows Phone Support Per Minute Billing HTML 5/CORS Android Support Custom Mobile API AutoScale BizTalk Services
Journal of science STUDY ON REPLICA MANAGEMENT AND HIGH AVAILABILITY IN HADOOP DISTRIBUTED FILE SYSTEM (HDFS)
Journal of science e ISSN 2277-3290 Print ISSN 2277-3282 Information Technology www.journalofscience.net STUDY ON REPLICA MANAGEMENT AND HIGH AVAILABILITY IN HADOOP DISTRIBUTED FILE SYSTEM (HDFS) S. Chandra
High 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,
