ibm spectrum scale for file and object storage
TRANSCRIPT
© Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.
cIS4107IBM Spectrum Scale for File and Object storage
� Tony Pearson
� Master Inventor and Senior IT Specialist
� IBM Corporation
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© Copyright IBM Corporation 2015. Technical University/Symposia materials may not be reproduced in whole or in part without the prior written permission of IBM.
Abstract
IBM is ranked #1 in Software Defined Storage, and the latest release of IBM Spectrum Scale now offers additional support for connecting files and objects with the rest of your data center. Come learn how Spectrum Scale and Elastic Storage Server can help you.
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This week with Tony Pearson
Day Time TopicMonday 10:15am Opening Session – Storage
01:45pm IBM's Cloud Storage Options
Tuesday 11:30am Software Defined Storage -- Why? What? How?
03:15pm The Pendulum Swings Back –Understanding Converged and Hyperconverged Environments
04:30pm New Generation of Storage Tiering: Less Management Lower Cost and Increased Performance
Wednesday 09:00am What Is Big Data? Architectures and Practical Use Cases
01:45pm Data Footprint Reduction – Understanding IBM Storage Efficiency Options
03:15pm IBM Spectrum Virtualize – SVC, Storwize and FlashSystem V9000 (repeats Friday)
Thursday 10:15am IBM Spectrum Scale and Elastic Storage Offerings
01:45pm IBM Spectrum Scale for File and Object storage
03:15pm IBM Storage Integration with OpenStack
05:45pm Storage -- Meet the Experts
Friday 10:15am IBM Spectrum Virtualize – SVC, Storwize and FlashSystem V9000
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The Problem: Islands of Block, File and Object level data
Volume-level Storage
� OS-specific file systems on block-based devices
� Sharing requires file transfers
� Provides “Context” for Analytics of Social and Mobile transactions
File-level Storage
� NAS encourages sharing across social networks
� Desire for file sync-and-share across desktops and mobile
� HDFS requires transfer (ingest) from other sourcesJFS2
EXT4
NTFS
SMB
HDFS
NFS
Object-level Storage
� New Web and Mobile apps prefer Object-level access
Amazon S3
OpenStack
Swift
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Volume vs. File vs. Object level access
POSIX
Read recordWrite record
Volume
Read blockWrite block
SAN orLAN
LAN orWAN
File
Read recordWrite record
LAN orWAN
Object
Get, Put, Delete
NAS
Read recordWrite record
HTTP
Get, PutDelete
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Why use IBM Spectrum Scale™
Extreme Scalability
� Add or Remove nodes and storage, without disruption or performance impact to applications
Universal Access to Data
� All servers and clients have access to data through a variety of file and object protocols
High Performance
� Parallel access with no hot spots
Proven Reliability
� Used by over 200 of the top 500 Supercomputers
� Survive any node or storage failure with Distributed RAID and redundant components
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IBM Spectrum Scale™ –Software, Systems or Cloud Services
Software
• Install software on your own choice of Industry standard x86 or POWER servers
Pre-built Systems
• Elastic Storage Server with Erasure Coding
• Storwize V7000 Unified
Cloud Services
• Spectrum Scale can be deployed on any Cloud
Scale
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Spectrum Scale – Flexible File and Object Storage
FS1 FS256. . .Exabyte-Scale, Global Namespace
for files and objects
One big file system or divide into as many as 256 smaller file/object
systems
Each file system can be further divided into fileset containers
Flash and Disk LUNs are called Network
Shared Disks (NSD) Metadata can be separated to its own Pool or intermixed with
data
Files and objects can be migrated to Tape
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IBM Spectrum Scale™ – Supported Topologies
Twin-tailed
SAN
Internal, Direct-Attach
Shared PoolsFPO Pools
NSD Servers
� Access files on direct, twin-tailed or SAN attached disk
� Can export files to application nodes
File Placement Optimization (FPO) Servers
� Access files on direct attached disk
� Exports files to other FPO servers
External Clients
� Access files via file and object protocols over IP network
TCP/IP
NSD Clients
� For Linux, AIX, and Windows
� Access files via SAN, TCP/IP or RDMA
TCP/IP or RDMA network
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IBM Spectrum Scale™ replaces other POSIX file systems
SAN
Direct-Attach
SAN-level Storage
JFS2
EXT4
NTFS
• Works like OS-specific file systems• No file transfers required between OS• Linux on x86, POWER and z Systems
TCP/IP or RDMA Network
Twin-tailed
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IBM Spectrum Scale™ – More than just a file system!
ROBO
Other NFS
Other Datacenters
Scale
Active File
Management
(AFM) caches data to where it is needed, can be used to migrate from other NFS
Hierarchical Storage
Management (HSM) migrates infrequently
accessed files to tape, automatically recalls back
when accessed
Local Read-Only Cache
(LROC) and Highly Available
Write Cache (HAWC) caches the busiest blocks of files on
local flash
Disaster Recovery
(DR) asynchronously mirrors data to remote
locations
Migrate/Recall Tape
NSD Client
Information Lifecycle
Management (ILM) moves data across tiers of flash
and disk
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IBM Spectrum Scale™ – Local Read-only Cache
NSD Client
Local Flash on NSD Clients
� Automatically handles the flash cache so data is transparently available to your application with very low latency and no code changes
� Accelerates I/O performance up to 6x by reducing the amount of time CPUs wait for data
� Improves application performance while keeping all the manageability benefits of shared storage
Data is never stale
• Cache consistency ensured by standard tokens• Data is protected by checksum and verified on read• Write cache on two separate client nodes, or shared
fast storage device
Reduces Network Load
• Decreases the overall load on the IP network, benefitting performance for others
Local Read-Only Cache
(LROC) and Highly-Available
Write Cache (HAWC) caches the busiest blocks of files on
local flash
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IBM Spectrum Scale™ – Policy Management
Migrate/Recall Tape
File Placement
� When new files are created, the active policy assigns it to the right pool – Flash, 15K, 10K or Nearline disk
� Files can be marked for having 2 or 3 replicas
� Files can be encrypted with specific keys
File Expiration
� Delete files automatically after they are no longer needed
File Movement (ILM)
� Move files between pools
� Based on age, size, heat, access frequently or other criteria
File Movement (HSM)
� Migrate files to an external pool of tapes
� Accessed files are automatically recalled back to internal pool of flash or disk
Hierarchical Storage
Management (HSM)
Information Lifecycle
Management (ILM)
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IBM Spectrum Scale™ – Active File Management (AFM)
ROBO
Other Datacenters
Scale
Cloud
Global Namespace
� Shows entire file system, on flash, disk and tape, across all locations
Pre-fetch or Pull on demand
� Files can be periodically pre-fetched in advance, or pulled on demand when needed
WAN Caching
� Files you use most often are cached to your location for faster access and availability to avoid WAN delays
NFS Data Migration
� Use AFM to cache or migrate data from other NFS filers
Active File
Management
(AFM)Other NFS
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IBM Spectrum Scale on any Cloud
Active File Management
Private VLAN
Scale
Scale
NSD Clients and Servers can be deployed within a Private VLAN on any Cloud
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IBM Spectrum Scale™ – Backup and Disaster Recovery
Disaster Recovery
(DR) asynchronously mirrors data to remote
locations
Backup/Recover
FS1
snap1 snap2
Backup to External Media
• Files can be backed up to IBM Spectrum Protect, or third-party backup software
Asynchronous Mirror
• Use Active File Manager across data center locations
• Specify appropriate RPO
Snapshots
• Up to 256 Snapshots of entire file system, and 256 Snapshots of each file set
• Read-Only, Space-Efficient• Microsoft VSS Interface
• Writeable File Clones
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Native Encryption and Secure Erase
Application
Remote Key Manager (RKM)
TCP/IP orRDMA
Node-to-Node Encryption
� Complies with NIST SP 800-131A
Data-at-Rest Encryption
• Files are encrypted by application node• Each file assigned random File-key• Master-key granularity by file or fileset, determined by
policies• RKM stores Master-keys, and nodes must have
appropriate RKM credentials• Data is encrypted from application node all the way to
NSD (flash or disk) media• FIPS 140-2 certified
Secure Erase
• Files are cryptographically erased by deleting their Master-key
• Files that “stay” are re-Mastered to new key
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SAN
Twin-tailed
Protocol Servers
NFS v3/v4
SMB2 / SMB3
AIX, Linux, Mac OS, Windows, VMware,
z/OS, etc.
� Feature of IBM Spectrum Scale on
Linux nodes
� Share files with clients using NFS,
SMB and Object protocols
� All nodes can share the same data
� If Protocol Server Node fails client
connections are moved to another
server
� Protocol Server Node(s) need “NSD
Server” License
� External Clients need no Spectrum
Scale License
Clustered Protocol Servers for File and Object access
TCP/IP
OpenStack
Swift / S3
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� No single-server performance and bottleneck scaling limits
- NAS filers can be a bottleneck and significantly impacts system performance
� No centralized metadata server
- Centralized metadata server can be a performance bottleneck for metadata intensive operations
TCP/IP Network
Network
File Server
Client
Nodes
Storage
Metadata
Data Data
Network
data
metadatadata Centralized
Metadata
Server
) (
) (
IBM Spectrum Scale™ is different thanother clustered/distributed storage solutions
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NFS v3 versus NFS v4
Feature NFS v3 NFS v4
Exports Each export mounted separately
Pseudo File System combines all exports
State Stateless, no tracking of what clients open file
Stateful, server tracks which clients open/close
Firewall Multiple ports required for locking, status, etc.
Single port makes NFS v4 “firewall-friendly”
Security 32-bit integers for user and group identifiers
Strings@Domainenables Kerberos
Character set ASCII-7 requires all locales match
UTF-8 universal access
NFS v2 and v3 were originally developed by Sun Microsystems, which later turned over control to IETF for NFS v4
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CIFS, SMB 2 and SMB 3
Feature SMB1, SMB2, SMB2.1 SMB 3
Availability Stateful retry Transparent FailoverSMB Scale-out
Connectivity TCP/IP, single channel TCP/IP or RDMA, SMB Multichannel
Performance Client reads directory metadata as needed
Client caches directory metadata with Leasing
Encryption None Data In-flight AES-128 between client / server
Snapshot Interface None Volume Shadow Copy Services (VSS)
CIFS – Part of Microsoft Windows NT 4.0 in 1996. SMB1 supersedes this version.SMB1 – Windows 2000, Windows XP, Windows Server 2003 and 2003 R2SMB2 – Windows Vista (SP1 or later) and Windows Server 2008SMB2.1 – Windows 7 and Windows Server 2008 R2SMB3 – Windows 8 and Windows Server 2012
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IBM Spectrum Scale™ solves “Dropbox problem” for File Sync-and-Share
SAN
Internal, Direct-Attach
No IT Control:
• Servers and storage• Security• Access control • User provisioning• Sensitive data
TCP/IP or RFMA Network
Twin-tailed
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HDFSNamenode
SecondaryNamenode
IBM Spectrum Scale™ – File Placement Optimization
SAN
Internal, Direct-Attach
• Spectrum Scale avoids the need for a central namenode, a common failure point in HDFS
• Avoid long recovery times in the event of namenode failure
• Spectrum Scale can consist of a mix of FPO and standard NSD servers, NSD client nodes, and Elastic Storage Servers (ESS) in the same cluster
File Placement Optimization (FPO)
Creates a “share nothing” cluster similar to HDFS in Hadoop environments
TCP/IP or RDMA
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Hadoop Analytics – HDFS vs IBM Spectrum Scale™
HDFS Save
Results
Discardre
st
IBM Hadoop
Connector allows Map/Reduce
programs to process data without
application changes
IBM Spectrum ScaleApplication data stored on IBM
Spectrum Scale
is readily available for analytics
Save
Results
JFS2
NTFS
EXT4
Data Sources mashup of structured and unstructured data from a variety of sources
Actionable InsightsProvides answers to the
Who, What, Where, When, Why and How
Business Intelligence & Predictive Analytics> Competitive Advantages> New Threats and Fraud
> Changing Needs and Forecasting
> And More!
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Share-Nothing versus Shared-Disk Deployments
DataData
Data Parity
DataData
Data
CopyCopy
Copy
CopyCopy
CopyTCP/IPor RDMA
Need more compute? Add another node!
Spectrum Scale and Elastic Storage Server reduce storage to one
RAID-protected copy of the data
Scale compute and storage capacity separately
Spectrum Scale FPO can keep 1,2 or 3
replicas of the data
Need more storage capacity?
Add another node!
3x versus 1.3x
TCP/IPor RDMA
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SAN
Twin-tailed
Protocol Servers
NFS v3/v4
SMB2 / SMB3
AIX, Linux, Mac OS, Windows, VMware,
z/OS, etc.
� Feature of IBM Spectrum Scale on
Linux nodes
� Share files with clients using NFS,
SMB and Object protocols
� All nodes can share the same data
� If Protocol Server Node fails client
connections are moved to another
server
� Protocol Server Node(s) need “NSD
Server” License
� External Clients need no Spectrum
Scale License
Clustered Protocol Servers for File and Object access
TCP/IP
OpenStack
Swift / S3
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One Dashboard – One Cloud
Compute• Hypervisors• Virtual Machines• VM images
Storage• Volumes• Objects• File Systems
Shared Services• Identity management
for users/passwords• Usage Statistics
Metering
Network• Focused on
TCP/IP based networks
Users, Developers, Administrators
OpenStack software controls large pools of compute, storage and networking resources
throughout a datacenter, managed through a dashboard or via the OpenStack API
Dashboard• GUI and CLI interfaces• Orchestration • Private Cloud
• Public Cloud
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OpenStack terminology
Compute Storage Shared Services Network
Nova• Hypervisors• VM instances
Glance• VM images
• Disk images
Cinder• Volumes
Swift• Objects
Manila• File systems
Keystone• Policy and authentication
services, users and passwords
Ceilometer• Usage Statistics
Metering
Neutron• VPN• Firewall• Load
Balancing
Heat• Orchestration,
coordinate the deployment of resources for
an application
Horizon• OpenStack
dashboard, a web application that runs on Apache
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Spectrum Scale supports OpenStack environments
Glance• VM images• Disk images
Cinder• Volumes
Swift• Objects
Manila• File systems
Global Name Space
Volume-on-file Object-on-file
• Create, Delete and Extend volumes• Take snapshots (FlashCopy) and clones• Volumes � Images, Images � Volumes• Attach and Detach to/from VM instances
• Create and Delete containers in account• Upload, Download and Delete objects• List containers or objects in a container• Display and update metadata
Keystone• Access control
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OpenStack terminology – Storage
Cinder• Volumes
Swift• Objects
Manila• File systems Provides coordinated access to shared or distributed file
systems. The primary consumption of file shares would be across OpenStack Compute instances.
BlockLUN
Volume-on-file
Volume-on-object
Create, Delete and Extend volumes; take snapshots, images and clones; attach/detach from VM instances
Create and Delete containers and objects – Storing an object is like “valet parking” your data
Object-on-file
Object-on-database
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Account / Container / Object architecture
Comparable to a mount point or root directory
Comparable to individual files
Comparable to a top level directory
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Using OpenStack Swift
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TCP/IP or RDMA
IBM Spectrum Scale™ for file and object clients
SAN
Protocol Nodes
Twin-tailed
Elastic
Storage
Server
TCP/IP Network
Network load balancer
Combined Proxy and Storage nodes
Storage nodes
Proxy nodes
OpenStack zones configured as Spectrum Scale Failure Groups
Object:OpenStack Swift
Swift S3
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� Enables hybrid cloud data protection, without gateway appliances
� New storage pool options within IBM Spectrum Protect hierarchy
– On IBM SoftLayer cloud*
– On-premises native object stores, such as IBM Spectrum Scale
� Uses OpenStack Swift interfaces
Data Center
On-premises Storage Pools
Cloud Storage Pools
IBM Spectrum Protect Servers
Spectrum Protect -- New cloud and native object storage pools
* Other cloud services to be supported in future
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The Solution: IBM Spectrum Scale™ brings it all together
Global Name Space
IBM Spectrum Scale™ replaces SAN-based file
systems
� Replaces NTFS, EXT4, JFS2 and other POSIX file systems
� Used by over 200 of the top 500 supercomputers
� No file transfers required between different OS
� Can be used with everything from databases to video streaming
� For x86, POWER andz System servers
� Secure with Data-at-rest encryption
IBM Spectrum Scale™ replaces HDFS and NAS file storage
� Full Hadoop interfaces for Map/Reduce analytics processing
� No transfer or ingest required as the data is already there
� Fully protected with Backup Software
� File-level access support for NFS, SMB, FTP, SCP and HTTPS
� Supports File Sync-and-Sharevia OwnCloud or Funambol
IBM Spectrum Scale™ offers Object access
� Object-level access based on OpenStack Swift and Swift S3 interfaces
IBM Spectrum Scale™ supports all media
� Spans flash, disk and tape media
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IBM Software Defined Storage
Data Plane
IBM Software Defined Storage
Control Plane
IBM for Software Defined Storage
Control Protect
IBM ranked #1 in Software Defined Storage with
40% market share in 2014
Accelerate Virtualize Scale Archive
Universal access to data• Global Namespace with over 10
billion files
Proven Reliability• Introduced as GPFS in 1998• Over 1,000 production systems
High performance• Over 400 GB/sec throughput on
single system
Extreme scalability• Clusters with over 10,000 nodes• File systems with over 30 PB of data
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Session Evaluations
YOUR OPINION MATTERS!
Submit four or more session evaluations by 5:30pm Wednesday
to be eligible for drawings!
*Winners will be notified Thursday morning. Prizes must be picked up at registration desk, during operating hours, by the conclusion of the event.
1 2 3 4
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Many Features are Common to Swift and Spectrum Scale
Multi-tenant data access and
management
ACLs
Role-based Authentication
SSL/encryption
Multi-Region Geo-replication
High-Availability
Flat namespace
Storage automation
Simplified management
REST/HTTP
Mac/Windows/Linux
Swift/S3 API support
SDKs
User-defined metadata and search capabilities Extensible Swift
Middleware
Versioning
Quotas
Expiration
Rate Limiting
Rolling upgrades
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IBM Tucson Executive Briefing Center
� Tucson, Arizona is home for storage hardware and software design and development
� IBM Tucson Executive
Briefing Center offers:
–Technology briefings
–Product demonstrations
–Solution workshops
� Take a video tour!
– http://youtu.be/CXrpoCZAazg
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About the Speaker
Tony Pearson is a Master Inventor and Senior managing consultant for the IBM System Storage™ product line. Tony joined
IBM Corporation in 1986 in Tucson, Arizona, USA, and has lived there ever since. In his current role, Tony presents briefings
on storage topics covering the entire System Storage product line, Tivoli storage software products, and topics related to Cloud
Computing. He interacts with clients, speaks at conferences and events, and leads client workshops to help clients with
strategic planning for IBM’s integrated set of storage management software, hardware, and virtualization products.
Tony writes the “Inside System Storage” blog, which is read by hundreds of clients, IBM sales reps and IBM Business Partners
every week. This blog was rated one of the top 10 blogs for the IT storage industry by “Networking World” magazine, and #1
most read IBM blog on IBM’s developerWorks. The blog has been published in series of books, Inside System Storage:
Volume I through V.
Over the past years, Tony has worked in development, marketing and customer care positions for various storage hardware
and software products. Tony has a Bachelor of Science degree in Software Engineering, and a Master of Science degree in
Electrical Engineering, both from the University of Arizona. Tony holds 19 IBM patents for inventions on storage hardware and
software products.
9000 S. Rita Road
Bldg 9032 Floor 1
Tucson, AZ 85744
+1 520-799-4309 (Office)
Tony Pearson
Master Inventor,
Senior IT Specialist
IBM System Storage™
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Email:[email protected]
Twitter:twitter.com/az99Øtony
Blog: ibm.co/Pearson
Books:www.lulu.com/spotlight/99Ø_tony
IBM Expert Network on Slideshare:www.slideshare.net/az99Øtony
Facebook:www.facebook.com/tony.pearson.16121
Linkedin:www.linkedin.com/profile/view?id=103718598
Additional Resources from Tony Pearson
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Information concerning non-IBM products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-IBM list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-IBM products. Questions on the capability of non-IBM products should be addressed to the supplier of those products.
All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only.
Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning.
Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here.
Prices are suggested U.S. list prices and are subject to change without notice. Starting price may not include a hard drive, operating system or other features. Contact your IBM representative or Business Partner for the most current pricing in your geography.
Photographs shown may be engineering prototypes. Changes may be incorporated in production models.
© IBM Corporation 2015. All rights reserved.References in this document to IBM products or services do not imply that IBM intends to make them available in every country.
Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the World Wide Web at http://www.ibm.com/legal/copytrade.shtml.
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