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SCALABLE FILE SHARING AND DATA

MANAGEMENT FOR INTERNET OF THINGS

Sean Lee

Solution Architect, SDI, IBM Systems

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Agenda

• Converging Technology Forces

• New Generation Applications

• Data Management Challenges for IoT

• IBM Spectrum Scale and Software Defined Infrastructure Solutions

• Q&A

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Converging Technology Forces

•Data The basis for competitive

advantage

•Cloud The growth engine for

business

•Engagement Changing

expectations, fueled by mobile and

social

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New Generation of Applications

Storage Virtualization Spectrum Scale

V1 V2 V3 V4 V5 V5 ... …. Vn C

C

Systems of Record

 Transactions and processes

 Controlled data growth

 Efficiency through virtualization Traditional Applications

 Insights and engagement

 Rapid pace and massive data scale

 Global elasticity

Systems of Engagement

New Generation Applications

Integrated Storage Management and Data Protection

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Top Data Management Issues from Customer Perspective

Source: InfoPro Survey

0% 10% 20% 30% 40% 50% 60% 70%

Storage Provisioning Archiving / Archive Mgmt Performance Problems Managing Complexity Backup Administration Managing Costs Forecasting / Reporting Managing Storage Growth

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Data Processes in IoT

• Explore and Store

– Ingest - handle massive amounts of incoming data

– Process - provide required performance to analytics apps – Store - save valuable data,

discard useless data

• Manage and Secure

– Manage - make data available at the right location, to the right

person, at the right time – Protect - encrypt, securely

delete, backup valuable data

Manage & Protect

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Meet New "Data Silo": Data Pool

Big Data HPC

Cloud File

Sharing

Compute

Network

Storage

Compute

Network

Storage

Compute

Network

Storage

Compute

Network

Storage

Rigid and manual assignment of redundant IT resources Low utilization

Needless data movement and copying

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Filer 1 Filer 2

Traditional File Storage

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Filer 5 Filer 6 Filer 7 Filer 8

Filer 1 Filer 2 Filer 3 Filer 4

More traditional file storage

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Filer 1 Filer 2 Filer 3 Filer 4

with automated storage tiering Global Namespace

Solution: IBM Spectrum Scale

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Global Namespace

with automated storage tiering

Parallel, Scale-Out File Sharing and Data Management Solution

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IBM Spectrum Scale Helps You Handle Data Lakes

 Spectrum Scale has a

maximum file system

size of one million

yottabytes

 Designed to scale

 2

63

(~9 quintillion)

files per file system

 1 to 16,384 nodes

in a single cluster

 IPv6 support

FUTURE PROOF

Multiples of bytes Metric YB yottabyte ZB zettabyte EB exabyte PB petabyte TB terabyte GB gigabyte MB megabyte

Here’s where an admin usually hits “the data management wall”

Spectrum Scale enables virtually limitless performance and capacity

(13)

IBM Spectrum Scale from IBM Spectrum Storage Family

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What is IBM Spectrum Scale?

• Software Defined Storage

solution for traditional and

new era applications

– All delivered through software,

based upon IBM General

Parallel File System

– Delivered as software, ready-

to-use appliances and cloud-

based SaaS

IBM SPECTRUM

SCALE

Spectrum Scale (software)

Elastic Storage (SaaS)

Elastic Storage Server (appliance)

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Software Defined Storage for Internet of Things

compute nodes

IBM Spectrum Scale Data Ingest

Computation

& Analytics

Local Data Access High Output Instruments

High Volume Devices

Instruments

Images

Tape Library

GPFS

GPFS GPFS

Low Latency Global Data Access

Auto-tiering and Migration

Sensors Single Name Space

Videos

Right Data

Right Place

Right Time

Right Performance

• 400

GB/s

20 PB

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Deployment with Couplets, Tiers and Tape Archive

Spectrum Scale Clients (GPFS, NFS, CIFS, HTTP)

Spectrum Scale Servers and Storage

Client-side NETWORK Storage-side NETWORK

Building Block #1 Building Block #2 Building Block #3 Building Block #4

Single Global Namespace (One File System) up to hundreds of PB's

SAS

SSD

NL-SAS

NL-SAS NL-SAS

NL-SAS TAPE

Ethernet/InfiniBand

Multiple PB's in single name space:

G:\ (Windows)

/mnt/data (Linux, UNIX)

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How Spectrum Scale Helps with Data Management at Scale

Commodity Hardware

Non-disruptive data migration

Flash Acceleration Network performance

monitoring

File Placement Optimization

Native Encryption And Secure Erase

Global Active File Management

Advanced Mirroring and Caching Services

Common Management

Cloud Ready

High speed scanning engine

Policy based data migration Drop in replacement for

Hadoop File System

Other cloud

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Complementary Solutions: Aspera High Speed File Transfer

• Software solution

• Moves your data to/from

Spectrum Scale at maximum

speed, regardless of file size,

transfer distance and network

conditions

• FASP™ - highly efficient bulk

data transport technology

“Aspera is the industry standard for the transport and

management of large data files produced by life

sciences.”

Sifei He, Cloud Product Director, BGI*

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Complementary Solutions: Big Storage Active Archive

• What is it?

– Enterprise-class cloud based

storage archive service for clients who need to store large amounts of data (TBs) and easily retrieve it on demand.

– Low cost, long term tape-based

archive for massive amounts of data

• Who should use it?

– Long term archives from TB+ to PB+

size

• How to use it?

– Supports both File and Object storage via standard POSIX

interface and standard Swift API (HTTP(S))

Integrates with local and cloud storage

Other service providers

Private Cloud Big Storage

Active Archive

Spectrum Scale Spectrum

Scale

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Success Story: Spectrum Scale in Telecommunications

• Major communications service provider (CSP) in

China

• Challenge: CDR/XDR ingest & analytics

– Quick and reliable data loading – Fast query/analysis

– Platform scalability for future growth

• Solution

– IBM Spectrum Scale, Platform Symphony (for Map Reduce ("Hadoop") workload management) and IBM Linux on Power

• Results

– IBM's solution was faster than the competitor's while using 50% fewer servers

– Data loading: 400% faster

– Scalability and query speed execution: 300% more users and >200% faster

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Summary

•Data management challenges are increasing due to the

growth of IoT and new systems of engagement

•Internet of Things requires agility, the ability to quickly ingest,

process and protect data

•Overcome Data Management for IoT

challenges by using IBM Spectrum Scale and other IBM Software

Defined solutions

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Q&A

IoT

Helping upstream innovators

who engineer the next

generation of connected

devices and those downstream

who operate those devices,

deliver new business outcomes

through better innovation,

operation, and customer

engagement

IBM's

Internet of Things

Mission

References

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