Imagine an entire IT infrastructure controlled not by hands and hardware, but by software. One in which application workloads such as big data, analytics, simulation and design are serviced automatically by the most appropriate resource, whether running locally or in the cloud. A Software Defined Infrastructure enables your organization to deliver IT services in the most efficient way possible, optimizing resource utilization to accelerate time to results and reduce costs. It is the foundation for a fully integrated software defined environment, optimizing your compute, storage and networking infrastructure so you can quickly adapt to changing business requirements. A comprehensive portfolio of management tools dynamically manage workloads and data, transforming a static IT infrastructure into a workload- , resource- and data-aware environment. Learn more: http://ibm.co/1wkoXtc Watch the video presentation: http://insidehpc.com/2015/03/slidecast-software-defined-infrastructure/

1. © 2015 IBM Corporation
Software Defined Infrastructure
from IBM
Jay Muelhoefer
Director, Software Defined Solutions

2. © 2015 IBM Corporation2
Innovation and Design
• Companies are being forced to change the
way they think about innovation.
• They are being challenged to:
– Deliver designs better, faster, cheaper
– Design high quality products across an
ecosystem of partners with fewer designers
– Speed innovation and time to market
despite flat or declining budgets for
Engineering IT

3. © 2015 IBM Corporation3
What do my
users want
and need to
do next?
Key trends
Demand
Supply
Business
Agility
Efficiency
What New
Technologies
can I deploy?
How do I
support
shifting
priorities?
How do I make
the best use of
what I have?

4. © 2015 IBM Corporation4
The impact on IT
• More projects
– Working on multiple releases concurrently
– Competing priorities
– Increased volume of workload
• More demands on infrastructure
– More servers
– Server density
– Storage challenges
– Filer & Network contention
– Facilities (Power, Cooling)
• Less time
– Working on multiple releases concurrently
– Schedules are often fixed before the project even starts

5. © 2015 IBM Corporation5
IBM Software Defined Infrastructure Addresses Inefficiencies
Transforms disparate infrastructure silos into an elastic, shared
resource pool for scale-out and cloud applications,
available on-premise or as a hybrid cloud
Accelerate simulation,
design and research
application throughput
by up to 150x
Dramatically reduce IT
costs with 4x utilization
increase (80% plus)
Aggregate
distributed
resources into one,
shared global
compute and data
resource pool
Connect many
groups and apps to
the resource pool
with optimized
workload engines
for performance at
scale
Dynamically
manage resource
allocation and
elastically scale
according to fine
grained business
policies
Pool Connect Optimize

6. © 2015 IBM Corporation6
IBM Software Defined Infrastructure
IBM Platform Computing
Workload
Engines
Resource
Management
Platform Symphony
(MapReduce)
Platform
Symphony
Platform Application
Service Controller
Platform LSF
High Performance
Analytics
(Low Latency Parallel)
Hadoop /
Big Data
Application
Frameworks
(Long Running Services)
High Performance
Computing
(Batch, Serial, MPI,
Workflow)
Example
Applications
Homegrown
Homegrown
Scheduling & Acceleration With Infrastructure Sharing

7. © 2015 IBM Corporation7
IBM Software Defined Infrastructure
Infrastructure
Management
Data & Storage
Management
On-premise, On-cloud, Hybrid Infrastructure
(heterogeneous distributed computing and storage environment)
IBM Platform Computing
Platform LSFPlatform Symphony
Platform Application
Service Controller
Platform Symphony
(MapReduce)
Other Management
Software
Workload
Engines
Resource
Management
High Performance
Computing
(Batch, Serial, MPI,
Workflow)
High Performance
Analytics
(Low Latency Parallel)
Application
Frameworks
(Long Running Services)
Hadoop /
Big Data
Other Commercial
Applications
IBM Spectrum Storage
IBM Platform Cluster Manager IBM Cloud Manager with OpenStack
x86 Linux on zDiskFlash Tape
Support and Services
Bare Metal Provisioning Virtual Machine Provisioning

8. © 2015 IBM Corporation8
Agility Control Efficiency
Get It Your Way: Software, Service or Appliance
Proven Technology, Open Standards, Modular Adoption
Announcing IBM Spectrum Storage Solutions
Insight
Spectrum Control™
Governance
Spectrum Protect™
Speed
Spectrum Accelerate™
Elasticity
Spectrum Scale™
Utilization
Spectrum Virtualize™
Placement
Spectrum Archive™
> $ 1 Billion Investment
8

9. © 2015 IBM Corporation9
The benefits: balancing organizational needs
• IT managers: reduce costs while maintaining service levels
– Increased utilization and minimized over provisioning
– Simplified management of large shared resource pools (fewer silos with shared
services)
– Easily integrate and make optimal use of new technology
– Fewer failures / higher availability
• End users & business unit managers: gain competitive advantage
– Faster time to market
– Better design, simulation and analytics
– Increased visibility for better decision making
• CIO/CFO/Directors: increase organizational agility while managing costs
– Less cost to accomplish the same task (i.e. consolidation of people, hardware, power,
space, application licenses)
– Redeploy resources / investment to greater value projects
– Reduce IT growth rate and defer capital expenses
9

10. © 2015 IBM Corporation10
Wellcome Trust Sanger Institute: Using analytics to optimize high performance
computing capacity across 15,000 cores
Problem
• The Wellcome Trust Sanger Institute, a non-profit research organization based in
Hinxton, England, wanted to enable its research teams to generate results rapidly—
helping them to meet publication deadlines for scientific journals and secure funding
for future projects. To achieve this goal, the Institute needed to optimize the
compute capacity of its HPC environment.
Solution
• The Institute selected IBM® Platform™ Analytics software, and deployed the
solution on top of its existing IBM Platform LSF® policy-based workload scheduler.
The organization then designed a series of dashboards, enabling researchers and
administrators to see the utilization of the cluster according to criteria such as job,
job submitter and memory utilization in near real time.
Outcome
• Ensures each job runs on the optimal compute node – increasing throughput across
the HPC environment.
• Enables researchers to understand the factors that reduce processing efficiency,
and take action to improve performance.
• Strengthens the business case for future hardware investment by creating a clear
record of current compute utilization.
Industry: Research
Products: IBM Platform™ LSF®
IBM Platform Analytics
Overview
Profile
“Analytics is one of the most significant IT
investments that we have made. We needed the
IBM solution to deliver the HPC utilization
required to help our research teams generate
results rapidly, meet their publication deadlines
and, ultimately, secure new funding.”
Dr. Peter Clapham
Principal Systems Administrator, Informatics Systems Group,
Wellcome Trust Sanger Institute

11. © 2015 IBM Corporation11
Thank You