for High Performance

The ability of servers to process high volumes of data coupled with advances in the bandwidth of storage media has begun to reorder traditional storage architectures. In large server clusters, having compute resources and storage resources on separate ends of a uniform network is no longer practical. This panel session will dive into the challenges of compute frameworks with distributed storage and explain how diverse applications, from grid computing to databases, are moving to this architecture to accelerate application performance.
Panelist
Michael Versace , Research Director, IDC Financial Insights (Moderator)
Bob Quinn , Vice President and Chief Technologist, LSI Corporation
Gary Smerdon , SVP & GM, Accelerated Solutions Division, LSI Corporation
Dave Weber , Program Director, Global Financial Markets & Wall Street Center of
Excellence, IBM Systems and Technology Group
Vinod Kutty , Associate Director, Head of Distributed Computing/Open Systems
R&D, CME
Owen Monroe , Fellow and R&D Specialist, Oktay Technology
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 Since 1964, IDC has been providing:
• technology intelligence
• industry analysis
• market data
• strategic guidance
• tactical guidance
 to users , providers , and builders of information technology.
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A division of IDG, the world's leading technology media, research, and event company.
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• 1200+ analysts providing a global information community
• Coverage of 50+ countries around the world
• Almost 50 years experience analyzing IT and
Communications markets
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Michael Versace
Global Director, Risk Analytics mversace@idc.com
p: 508-988-7812 social @versace57 www.idc-fi.com
IDC Financial Insights Community: www.idc-insights-community.com/financial
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Next Generation Discussion Premise
 Erasing the Divide between Storage and Servers
 Performance mandates driving flash-based storage, database performance, IO performance, application acceleration
 Flash based storage is be architected “in” at one of two locations, on servers as either internal or
DAS or as network-based storage arrays.
 Predominate Use Cases on Wall Street in Trading Risk & Bank Book Analytics
 Multi-class Asset Modeling, Valuation, Simulations
 Liquidity, High Frequency Trading
 Metrics are Different for IO intensive applications
 Cost per IOPS vs. cost per capacity
 Infrastructure Considerations
 Flash cache options – positioning flash cache in servers, arrays
 Openflow architecture considerations
 How transparent to the application and CIO
 Ownership, management operations risk
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Other Drivers Forcing Industry Transformation
Cloud Mobility
Big Data/
Analytics
Social
Business
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Cloud, Mobile, Analytics & Social
Distributed Storage Strategies
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Memory / Storage Gap (Enterprise)
Processor
L1 Cache
L2 Cache
Main Memory
1 ns
10 ns
100 ns
100,000x
Latency Penalty for leaving memory hierarchy
T1 Storage
T2 Storage
Near Line
10,000,000ns (10 ms)
20,000,000ns (20 ms)
>20,000,000ns (>20 ms)
Increase storage performance to close CPU / Storage gap
Use best of Flash and Hard Drives for optimal price / performance
Transparent placement of data
Don’t require application rewrites, or expensive admin time
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CPU
Northbridge
Memory
IOC
Disk
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CPU
Cache
Northbridge
Memory
IOC
Disk
CPU
L1
Cache
L2
Cache
L3-Cache
CPU
L1
Cache
L2
Cache
Northbridge Northbridge
Memory
IOC
Flash
Storage
Cache
Memory
Disk

• Increasing Writes
• Higher Reliability
• More Performance
System
Requirements
Growing Dependence on
Flash Storage Processing based solutions

All flash is different and changes every 18 months!
– Minus 30% CAGR per bit cost
– Endurance, Reliability,
Performance, Interface
Flash
Capabilities
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4-bit
8-bit
15-bit
24-bit
• Less Writes
• Lower Reliability
• 30% Cost Reduction Y-Y
Time

2015 TAM
$500M
$1.4B
Additional
Growth
Opportunity
Flash Segment
 Initial Segment – Early
Adopters
 Costly, but high value non-transparent storage
High capacity, PCIe flash for primary storage
Medium capacity flash with seamless caching / acceleration software
 Using flash to transparently accelerate high value storage
 Balance of cost and value
Low capacity flash with seamless caching / acceleration software
 Bringing value of
“flash to the masses”
 Smartest use of flash providing best value
LSI has products and technologies to address all segments
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Source: IDC 2012
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 Storage “tiering” was a driving force behind the adoption of new storage architectures in 2011.
 High-density, lower-performance drives continued to be used to store data, while faster media such as SSD, RAM were increasingly adopted for higher-performance services.
Storage Tiering and Distributed Storage
• T0, but at what cost?
• “Forget about storage tiers and architect from the application back”
•
Flash Cache for big structured data businesses
•
Gauge with industry performance benchmarks
•
Openflow architecture
• Flash cache servers, arrays, data in server flash
• Operational knowhow - data protection, replication, security, performance info
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 Virtualization-aware replication, snapshots, versioning, and replication management integrated together will be the new mechanism for protecting applications and data.
 The market will continue to gain comfort with new RAID-alternative forms of data dispersion to provide for data recovery from failures.
Increased drive capacity in concert with RAID rebuild times will cause firms to seek better alternatives.
•
Data Protection
– how does it change
• Cache effect on end-to-end RPO and RTO
• Achieving zero data loss applications
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 In 2012, mobile devices will become a media of choice for managing storage. Storage administrators, architects, and engineers will expect storage management tools designed for mobile devices and will want to monitor and manage storage remotely from these access points.
 2012 will bring more storage offerings aimed at tablet and smart phone users, rather than exclusively PC users, networks
Storage Management via Mobile
Mobile Content Delivery
Mobile Performance
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 Performance requirements are forcing a reshaping of enterprise and external IT as a service storage architectures as CIOs are faced with meeting improved user experience and application performance trends
CTOs view of storage performance, how far the architecture should extend.
Cost vs. Performance, IO improvements or database or application acceleration
Who owns, who manages? Changes every 18 months?
Where to invest
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 Risk analytics is a target application market for flash cache marketplace. Supporting trading and bank book of business.
• Trading
• Valuations, Simulations, Performance Testing
• Wealth, etc.
 Storage performance is a differentiator. Options exist, flash Cache co-exists with current tier storage, must be integrated for protection, security, recovery
 Keeping data close to the user. HPC application design influenced even more by storage architectures, T0 possibilities. The industry is moving this way, but will take some time.
 Storage engineering and data science go hand in hand
 Risk analytics exist in tactical, operational, and strategic environments
 Analytic models are moving in-memory with the data.
 Data protection and security
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Michael Versace is focused on the Global Risk end-user and technology marketplace.
The global risk advisory service covers retail banking, cash and treasury management, payment services, insurance, core corporate banking technologies, and capital markets. This service helps financial institutions make mission-critical decisions on their investments in a variety of risk technologies and advises providers of these technologies on strategies for success in the market.
Michael’s 25 year career in financial services has included extensive interactions with central bankers, financial services agencies, corporate and retail banks, investment firms, and the risk technology communities at both an enterprise and industry level.
As a risk management practitioner, consultant, industry representative, and analyst,
Mr. Versace has the background and experience to bridge a wide range of business and technology challenges facing today’s global risk managers and technology executives.
Michael’s holds a B.S. in Accounting and Finance from Bentley University, Waltham,
Massachusetts, and is a certified information security professional (CISSP).
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Bob Quinn is responsible for charting the technical and business strategy for the company's products. In his role he works with LSI's business units as well as partner companies to develop innovative solutions to challenges facing datacenters and mobile networks.
Bob has extensive experience in the datacenter server and networking businesses, with over 15 years' experience in establishing relationships and connections with key CTOs and engineering executives in the IT industry.
Bob is the founder of 3Leaf Systems, a pioneer in creating the Dynamic Data
Center with ASIC and Software virtualization technologies; iModl, a developer of intelligent models of silicon components; and Network Virtual Systems, a developer of caching bridge chips for Intel processors. He also was director of
Advanced Development at Unisys.
Bob is a graduate of University College Cork in Ireland.
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Gary Smerdon oversees all marketing, engineering and manufacturing of the company’s server-based application acceleration solutions combining PCIe flash technology with intelligent caching and management software. The Accelerated
Solutions Division’s products accelerate application performance, reduce total cost of ownership, and deliver robust, interoperability to the enterprise server and storage markets.
Prior to joining LSI in 2007, Gary was chief marketing officer at Tarari, which was acquired by LSI. He also was president and CEO of Greenfield Networks, where he was responsible for raising $35M in funding and leading the company from a pre-product, pre-customer start-up to an early-stage revenue company. Prior to that, Smerdon was vice president of Marketing at Marvell, responsible for the communications product group as well as all corporate marketing activities.
Gary received a degree in Electrical Engineering from Duke University.
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Dave Weber is focused on server and low latency technologies. He created and has been leading the IBM Wall Street Center of Excellence in New York City since 2008 and in 2011 has begun to expand the initiative globally.
The Center has a particular focus on Financial Markets clients to help them solve their most challenging business objectives relating to ultra low latency computing, with technologies spanning solid state, hardware accelerators and acceleration techniques, network adapters and switches, as well as collaborating with partners and clients to drive new standards such as precision time.
Dave also leads the IBM relationship with STAC®, the Securities Technology
Analysis Center, which works with clients and vendors to create industry standard benchmarks for high-performance capital markets technologies.
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Vinod Kutty plays a lead role in the design, implementation and support of the server infrastructure that handles electronic trading for CME Group.
Performance, scalability, reliability, openness and cost effectiveness are constant challenges in this environment.
Vinod’s responsibilities include leading the Distributed Computing/Open Systems
Research and Development activities as well as internal Linux Support. He works closely with vendors on new technology evaluations, and helps voice performance and functionality requirements with Linux distro vendors and hardware OEMs.
Vinod is active in the Linux community, helping to drive features users need via the Linux Foundation. He is also an active member of Webmonsters.
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Owen serves as an R&D specialist for clients, introducing buyer clients to emerging technology and helping supplier clients develop and deliver cuttingedge technology to meet the specific needs of the buyer clients. Prior to Oktay
Technology, Owen served as the Global Storage Architect at Credit Suisse and expert in high performance computing. He was formerly a technical architect at
Alliance Bernstein Global Enterprise Technical Services Group, where he helped establish the Storage, Enterprise Systems Management and Data Governance, and Legal e-Discovery strategies.
Owen has also been a senior storage and systems engineer and/or architect for various financial services companies, including TD Waterhouse, Instinet, Merrill
Lynch, and Morgan Stanley. At Morgan Stanley, he was one of the first technologists on Wall Street to recognize and harness the power of open systems enterprise storage arrays and MPP-based super computers. Owen was a member of the IBM Power Parallel team that developed the IBM SP supercomputer. He holds two patents in high-performance communications protocols.
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Owen has a Bachelor of Science degree in computer engineering from Syracuse
University.
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