This document discusses IBM's Elastic Storage product. It provides an overview of Elastic Storage's key features such as extreme scalability, high performance, support for various operating systems and hardware, data lifecycle management capabilities, integration with Hadoop, and editions/pricing. It also compares Elastic Storage to alternative storage solutions and discusses how Elastic Storage can be used to build private and hybrid clouds with OpenStack.

1. © 2014 IBM Corporation
Platform Computing
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IBM Platform Computing
Elastic Storage
Gord Sissons
Platform Symphony Product Marketing
Scott Campbell
Platform Symphony Product Manager
Rohit Valia
Director, Product Marketing

2. © 2014 IBM Corporation
Platform Computing
Traditional Storage
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Platform Computing
Traditional Storage
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4. Solution: Global workload sharing, resource balanced storage
© 2014 IBM Corporation
Platform Computing
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Global Namespace
with automated
storage tiering

5. Elastic Storage provides extraordinarily parallel, scale-out storage
© 2014 IBM Corporation
Platform Computing
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Global Namespace
with automated
storage tiering

6. Proven Reliability
© 2014 IBM Corporation
Platform Computing
Elastic Storage – Key features
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Extreme Scalability
Maximum file system size:
1 Million Yottabytes
2^64 files per file system
Maximum file size equals file
system size
Customers with 18 PB file
systems
IPv6
Futureproof
Commodity hardware
Snapshots, replication
Built-in heartbeat, automatic
failover/failback
Add/remove on the fly
Rolling upgrades
Administer from any node
Commodity hardware
High Performance
Parallel file access
Distributed, scalable, high
performance metadata
Flash acceleration
Automatic tiering
Over 400 GB/s
Commodity hardware

7. © 2014 IBM Corporation
Platform Computing
Supported storage hardware
In addition to IBM Storage, IBM General
Parallel File System (GPFS™) supports
storage hardware from these vendors:
EMC
Hitachi
Hewlett Packard
DDN
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GPFS supports many storage systems, and the IBM support team can help
customers using storage hardware solutions not on this list of tested devices.

8. General Parallel File System (GPFS™) for IBM
POWER Systems™ is supported on both IBM
AIX® and Linux®.
© 2014 IBM Corporation
Platform Computing
Supported server hardware
GPFS for x86 Architecture is
supported on multiple x86 and AMD
compatible systems:
 IBM Intelligent Cluster
 IBM iDataPlex®
 IBM System x®
rack-optimized servers
 IBM BladeCenter® servers
 Non-IBM x86 and AMD
compatible servers
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 System p™
 BladeCenter servers
 IBM Blue Gene®
 IBM System p®
General Parallel File System (GPFS™) for x86
Architecture™ is supported on both Linux® and
Windows Server 2008.
GPFS for Power is supported on
multiple IBM POWER platforms:

9. © 2014 IBM Corporation
Platform Computing
Sharing Data Across an Organization
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GPFS introduced
concurrent file
system access from
multiple nodes.
Multi-cluster expands the global
namespace by connecting
multiple sites
AFM takes global namespace
truly global by automatically
managing asynchronous
replication of data
GPFS
GPFS
GPFS
GPFS
GPFS
GPFS
1993 2005 2011

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Platform Computing
Global Namespace
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Clients access:
/global/data1
/global/data2
/global/data3
/global/data4
/global/data5
/global/data6
Clients access:
/global/data1
/global/data2
/global/data3
/global/data4
/global/data5
/global/data6
Clients access:
/global/data1
/global/data2
/global/data3
/global/data4
/global/data5
/global/data6
File System: store1
Cache Filesets:
/data1
/data2
Local Filesets:
/data3
/data4
Cache Filesets:
/data5
/data6
File System: store2
Local Filesets:
/data1
/data2
Cache Filesets:
/data3
/data4
Cache Filesets:
/data5
/data6
File System: store3
Cache Filesets:
/data1
/data2
Cache Filesets:
/data3
/data4
Local Filesets:
/data5
/data6
See all data from any Cluster
Cache as much data as
required or fetch data on
demand

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Platform Computing
Elastic Storage Data Life Cycle Management
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Single Name Space
Elastic Storage
SSD
CIFS
File-System
SAS SATA
TSM
LTFS
HPSS
Use Elastic Storage file set and ILM policies to
control data placement, deletion and movement
across storage tiers (pools)

12. © 2014 IBM Corporation
Platform Computing
A Typical Hadoop HDFS Environment
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MapReduce Cluster
NFS
Filers
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Jobs Users
H
D
F
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 Uses disk local to each server
 Aggregates the local disk space into a single, redundant shared file system
 The open source standard file systems used in partnership with Hadoop
MapReduce

13. Hadoop MapReduce Environment Using Elastic Storage FPO
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Platform Computing
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MapReduce Cluster
NFS
Filers
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Jobs Users
Elastic
Storage
FPO
 Uses disk local to each server
 Aggregates the local disk space into a single redundant shared file system
 Designed for MapReduce workloads
 Unlike HDFS, GPFS-FPO is POSIX compliant – so data maintenance is easy
 Intended as a drop in replacement for open source HDFS (IBM BigInsights product may be
required)

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Platform Computing
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Cloud Tier (ICStore)
• IBM Public Cloud
• Amazon S3
• MS Azure
• Private Cloud
The Vision
Analytics File Storage Media Data Ingest
Solid
State Spinning
Disk
Tape
ESS
World-Wide
Data Distribution
POSIX
NFS
MAP Reduce
Object
Elastic Storage
• Single name space no matter where data resides
• Data in best location, on the best tier (performance & cost), at the right time
• Multi-tenancy
• All in software

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Platform Computing
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Platform Computing
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Architecture

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Platform Computing
Elastic Storage Cluster Models
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TCP/IP or Infiniband Network
Storage
Storage Storage
TCP/IP or Infinband RDMA Network
Storage Network
TCP/IP or Infinband Network
Application
Nodes
NSD
Servers
Application
Nodes

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Platform Computing
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Features

19. Basics Standard
© 2014 IBM Corporation
Platform Computing
Elastic Storage Key Features more details
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Distributed journaled file
system, scalable, high
performance metadata
AIX, Linux and Windows
Single name space
File parallel access
Built-in heartbeat, automatic
failover/failback, quorum
Administer from any node
Add/remove on the fly servers
or disks
Rolling upgrades
Basics
SNMP (running on a Linux
node)
Snapshots, backup, replication
Filesets, quotas
Active/active dual site with
synchronous replication
Multi-cluster
Server internal disks (FPO)
Flash acceleration (LROC
Linux)
File clones
Automatic tiering (ILM), even to
tapes with HSM software
Geographic asynchronous
caching (AFM)
Clustered NFS servers (cNFS
Linux) to give access beyond
the elastic storage cluster
Advanced
Native encryption
Secure deletion

20. Elastic Storage Manages the Full Data Lifecycle Cost Effectively
© 2014 IBM Corporation
Platform Computing
• Policy-driven automation and tiered storage
management
• Match the cost of storage to the value of data
• Storage pools create tiers of storage
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Application servers
Elastic Storage Server
Or commodity hardware
Tape Library
Autotiering and
Migration
‒ High performance SSD
‒ High speed SAS drives
‒ High capacity NL SAS drives
• Integrated with IBM Tivoli Storage Manager (TSM)
and IBM LTFS Enterprise Edition (EE)
‒ Elastic Storage handles all metadata processing then hands
the data to TSM and LTFS EE for storage on tape
‒ Data is retrieved from the external storage pool on demand,
as a result of an application opening a file for example
‒ Policies move data from one pool to another without changing
the file’s location in the directory structure
• Tape Migration Bottom Line:
‒Cuts storage costs up to 90%
• Right Data
• Right Place
• Right Time
• Right Performance
• Right Cost

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Platform Computing
Flash Local Read Only Cache (LROC)
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Clients
Flash LROC SSDs
Elastic Storage
• Inexpensive SSDs placed directly in Client nodes
• Accelerates I/O performance up to 6x by reducing the amount of time
CPUs wait for data
• Also decreases the overall load on the network, benefitting
performance across the board
• Improves application performance while maintaining all the
manageability benefits of shared storage
• Cache consistency ensured by standard tokens
• Data is protected by checksum and verified on read
• Elastic Storage handles the flash cache automatically so data is
transparently available to your application with very low latency and
no code changes

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Platform Computing
Elastic Storage : Tiering to tape with LTFS/EE
• Automatic migration to tape
• File user does not see where file is
stored
• Scales by adding tape drives or nodes
• Load is balanced on nodes and drives
• Tapes can be exported/imported.
• Redbook : IBM Linear Tape File System
Enterprise Edition V1.1 Installation and
Configuration Guide sg248143
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GPFS Node 1
Users and applications
User data
TSxxxx Tape Library
LTFS EE
GPFS Node 2
LTFS EE
Global name space
GPFS file systems (user data and metadata)

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Platform Computing
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File Placement Optimizer
(GPFS-FPO)

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Platform Computing
Elastic Storage - FPO
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GPFS
 Use disk local to each server
 All Nodes are NSD servers and NSD Clients
 Designed for map reduce workloads

25. © 2014 IBM Corporation
Platform Computing
Elastic Storage advanced storage for Hadoop
Hadoop HDFS IBM GPFS-FPO Advantages
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HDFS NameNode is a single point of failure
Large block-sizes – poor support for small files
Non-POSIX file system – obscure commands
Difficulty to ingest data – special tools required
Single-purpose, Hadoop MapReduce only
Not recommended for critical data
No single point of failure, distributed
metadata
Variable block sizes – suited to multiple types
of data and data access patterns
POSIX file system – easy to use and manage
Policy based data ingest
Versatile, Multi-purpose
Enterprise Class advanced storage features

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Platform Computing
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OpenStack

27. OpenStack Delivers a Massively Scalable Cloud Operating
System
© 2014 IBM Corporation
Platform Computing
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OpenStack Mission: To produce the ubiquitous open source cloud
computing platform that will meet the needs of public and private
cloud providers regardless of size, by being simple to implement and
massively scalable

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Platform Computing
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Horizon
Nova
Cinder
Swift
Neutron
Glance
Keystone
OpenStack Key Components

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Platform Computing
OpenStack GPFS Cinder Driver
• OpenStack Havana release includes a GPFS Cinder driver
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– Giving architects access to the features and capabilities of the industry’s leading
enterprise scale-out software defined storage
• With OpenStack on GPFS, all nodes see all data
– Copying data between services, like Glance to Cinder is minimized
or eliminated
– Speeding instance creation and conserving storage space
• Rich set of data management and information lifecycle features
- Volume Placement: On GPFS storage pools or FPO based placement
- Resilience: Per-volume replication level, DIO volumes
- Storage migration: Transparent or user-directed migration of volumes between GPFS
storage pools, GPFS nodes or to other Cinder back ends
- Glance Integration: Convert a volume to an image or an image to a volume through
COW mechanism – fast mechanism for instance provisioning and capture

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Platform Computing
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Competition

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Platform Computing
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Business Problem IBM GPFS Lustre EMC Isilion IBRIX
Fusion
HDFS MAPR
POSIX Interface Yes Yes Yes Yes No Yes
Multi-OS Support Yes Linux only N/A No No No
Hadoop FS API or location aware
connector
Yes No Yes Yes Yes
Lifecycle Management, Tape
archival
Yes No No No No
Global name space Yes No Yes No
Distributed meta data Yes No Yes Yes
Expand capability on-line Yes No
WAN caching / replication Yes No No No
File system snapshots Yes
Quotas Yes
Open source No Yes No Yes No
Commercial support Yes Yes
Oracle, Cray,
Bull, SGI &
others
Yes Yes
HP
Yes
Cloudera,
IBM &
others
Yes
IBM GPFS vs. Competitors

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Platform Computing
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Elastic Storage – Editions

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Platform Computing
Elastic Storage - New Pricing Structure
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Server and Client for Each
Socket Based Licensing
• Simpler, no more PVUs
Express Edition
• gpfs.base (no ilm, afm, cnfs)
• gpfs.docs
• gpfs.gpl
• gpfs.msg
• gpfs.gskit
Standard Edition
• Add gpfs.ext
Advanced Edition
• Add – gpfs.crypto
Platforms
• zLinux
• Ubuntu
Features Express Edition Standard Edition Advanced Edition
Basic GPFS
functionality
ILM: Storage pools,
Policy, mmbackup
Active File
Management (AFM)
Clustered NFS
(cNFS)
Encryption

34. Client license
Server license
© 2014 IBM Corporation
Platform Computing
Elastic Storage Cluster Models
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TCP/IP or Infiniband Network
Storage
Storage Storage
TCP/IP or Infinband RDMA Network
Storage Network
TCP/IP or Infinband Network
Application
Nodes
NSD
Servers
Application
Nodes
FPO license
Server license

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Platform Computing
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Elastic Storage Server

36. Replaces Specialized hardware controller with software
© 2014 IBM Corporation
Platform Computing
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 Delivers Extreme Data Integrity
– 2- and 3-fault-tolerant erasure codes
– End-to-end checksum
– Protection against lost writes
– Fastest rebuild times using Declustered RAID
 Breakthrough Performance
– Declustered RAID reduces app load during rebuilds
– Up to 3x lower overhead to applications
– Built-in SSDs and NVRAM for write performance
– Faster than alternatives today – and tomorrow!
 Lowers TCO
– 3 Years Maintenance and Support
– General Purpose Servers
– Off-the-shelf SBODs
– Standardized in-band SES management
– Standard Linux
– Modular Upgrades
Elastic Storage Server

37. © 2014 IBM Corporation
Platform Computing
Elastic Storage Server GL Models
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Model GL4
Analytics and Cloud
4 Enclosures, 20U
232 NL-SAS, 2 SSD
10+ GB/Sec
Model GL6
PetaScale Storage
6 Enclosures, 28U
348 NL-SAS, 2 SSD
12+ GB/sec
5146 Machine
Type
Model GL2
Analytics Focused
2 Enclosures, 12U
116 NL-SAS, 2 SSD
5+ GB/Sec
•Power S822L Servers
•20 Cores Each
•1818-80e Expansion Chassis
•Red Hat 7
•Graphical User Interface
•Management Server and HMC
•Elastic Storage Software
•Elastic Storage Native RAID
•xCat or Platform Cluster Mgr. Opt.
•10 Gb, 40 Gb Enet, FDR Inifiniband
•From 116 to 348 Spinning Disk
•3 Years Maitenance
•Building Block approach to Growth
•High Capacity Storage for Analytics and Cloud Serving
•Uses 4U, 60 Drive Storage Enclosures
•2TB or 4 TB Drives
•A Client-Ready Petabyte in Single Rack!

38. © 2014 IBM Corporation
Platform Computing
Elastic Storage Server GS Models
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•Smaller Configurations for High Velocity Ingest or Lower Cost Entry Point
•Uses 2U, 24 Drive Storage Enclosures
•400, 800 GB SSD Drives or 1.2 TB SAS Drives
•Highest “Performance per U” Delivered to Clients
•Deployable alone or as part of an ESS Configuration as “Platinum” tier
Model GS1
24 SSD
6 GB/Sec
Model GS2
46 SAS + 2 SSD or
48 SSD Drives
2 GB/Sec SAS
12 GB/Sec SSD
Model GS4
94 SAS + 2 SSD or
96 SSD Drives
5 GB/Sec SAS
16 GB/Sec SSD
Model GS6
142 SAS + 2 SSD
7 GB/Sec
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5146 Machine
Type •Power S822L - 20 Cores Each
•Power Expansion Chassis
•Red Hat 7
•Graphical User Interface
•Management Server and HMC
•Elastic Storage Software
•Elastic Storage Native RAID
•xCat or Platform Cluster Mgr. Opt.
•10 Gb, 40 Gb Enet, FDR Inifiniband
•3 Years Maintenance
•Building Block approach to Growth

39. © 2014 IBM Corporation
Platform Computing
Elastic Storage Ensures End-to-end Data Availability,
Reliability, and Integrity
• GPFS Elastic Storage Native RAID (De-clustered RAID)
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‒ Data and parity stripes are uniformly partitioned and distributed across array
‒ Rebuilds that take days on other systems, take minutes on Elastic Storage
• 2-fault and 3-fault tolerance
‒ Reed-Solomon parity encoding; 2-fault or 3-fault tolerant
‒ 3 or 4-way mirroring
• End-to-end checksum & dropped write detection
‒ From disk surface to Elastic Storage user / client
‒ Detects and corrects off-track and lost / dropped disk writes
• Asynchronous error diagnosis while affected I/Os continue
‒ If media error: verify and restore if possible
‒ If path problem: attempt alternate paths
• Supports live replacement of disks
‒ I/O operations continue for tracks whose disks are removed during service