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This session will give you an in-depth view of this platform, its capabilities and why it is the world leader in performance. Powered by the Intel® Xeon® 7500/6500 series processor the ProLiant DL980 G7 is the first server to use the HP PREMA Architecture, incorporating a node controller design with smart CPU caching and redundant system fabric. See how HP is rewriting the rules of enterprise technology as we take you to a new but evolutionary and innovative platform, far surpassing existing systems in terms of RAS, virtualisation and processing efficiency.Technologies demonstrated: - HP ProLiant DL980 G7 servers
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HP TECHNOLOGY@WORK 2011THE INSTANT-ON ENTERPRISE IS HERE
MASSIVE SCALE FOR X86 - PROLIANT DL980 G7 - HP’S 8 SOCKET X86 SERVER
Grant Johnstone
ESSN Presales Sydney
AGENDA
1. The Problem
2. Scale Characteristics
3. Customer Scenarios
4. HP Solution
5. Summary
3
4
30%Business Innovation throttled to
70% Captive in operations and maintenance
IT SPRAWL IS TAKING BUSINESS PERFORMANCE TO THE BREAKING POINT
• Rigid & aging infrastructure
• Application complexity
• Inflexible business processes
• Time to revenue
• Cost of lost time, effort, opportunity
• Unpredictable business cycles
Flex Fabric
Wire-once, dynamic assembly, always predictable
Virtual Resource Pool
Virtualized compute, memory, storage & network
Data Center Smart Grid
Intelligent energy management across systems & facilities
MatrixOperating Environment
Enables shared-service management
THE ARCHITECTURE OF THE CONVERGED INFRASTRUCTURE
DEFINITIONS
SCALABILITY
– System and performance expandability
– Ability to handle increased user and workload requirements without significant disruption
SCALE UP
– Increasing the compute power of an SMP server by adding CPUs and memory to the same server
– Also called vertical scaling
SCALE OUT
– Obtaining additional compute power by adding more servers so that the workload is spread across multiple systems
– Also called horizontal scaling
Some broad guidelines
SCALE UP VS. SCALE OUT HIGH LEVEL
– Easier to manage
– Lower facilities costs
– More efficient scaling
– Greater security and control
– Greater redundancy/availability
– Lower cost of server acquisition (HW)
– “Pay as you grow”
– Modular addition/removal of systems means greater flexibility
– Higher initial capital outlay
– Limits of processor scalability
– Requires redundancy/failover for highest levels of availability
– Management complexity increases as you scale
– Requires multiple high-speed network interconnects
– Applications need to architected for distribution across multiple systems
Scale Up Scale Out
ADVANTAGES
CHALLENGES
– “Pay as you grow”
– Modular addition/removal
CUSTOMER USAGE SCENARIOS
8
Where & When
SQL SERVER CONSOLIDATION
– Large number of similar DBs
– Too many OS & DB versions
– Reduced• Time to deploy OS instances• Time to complete Patch Deployment Cycle
– OS Virtualisation not an option
– Greater utilisation of resources• Just like OS consolidation
9
Where & When
– Decrease licensing (On the Whole)
– Reduce OS footprint
– Decrease patching time
– Single DB version; multiple Instances
– Greater resource availability required
– Greater resource capacity required• Consolidation of $$ to provide
larger pools of HW• Use Oracle to manage
resource allocation
ORACLE CONSOLIDATION
Where & When
– Reduce the OS footprint
– Low latency required between components
– One Large server rather than tiered HW
– A Single DB instance• Reduced need to split the DB
SAP WAREHOUSING
Where & When
TECHNICAL APPLICATIONS
– Real time operations analysis
– Rapid creation of analytic models without impacting established BI environment
– Mash up of data from multiple sources
– Enabled for SAP BusinessObjects BI Tools
– Next generation of BWA for BW (HANA 1.5)
SAP HANA “IN MEMORY PROCESSING”
BUSINESS APPLICATIONS
– Point of sale
– Demand signal repository
– Market measurements analysis
– Traffic analysis
– Liquidity risk management
Where & When
– Oracle are using x86
– Solaris account looking for processing power
– Alternate HW Roadmap for Solaris OS ?
– More cost efficient HW Platform
SOLARIS REPLACEMENT/MIGRATION
CUSTOMERS EMBRACE HP’S SCALE-UP PROLIANT SERVERS
SQL Server DB to support twice as many users (8,000 vs. 4000)
Cancer research - high compute & memory needs (512GB/server)
Fluent-based CAE required higher compute & memory Enables complex simulation
Large Database
High Performance Computing
ERP migration from IBM System z to support 4x order volume (50 to 200 orders/min)
Business Processing
VMware as DB platform cutting downtime by 75% & reducing automatic failover to minutes instead of hours
Enterprise Consolidation
DL980
HP PREMA Architecture to scale up with confidence
INTRODUCING THE HP PROLIANT DL980 G7
Self-healing Resiliency– 200% boost in server availability
– Redundant system fabric to maximize uptime
Balanced Scaling
– World record performance enabled by HP Smart CPU caching
– Up to 8 Intel® Xeon® 7500 series processors
– Up to 8 cores and 24MB L3 cache per processor
– Up to 128 DDR3 DIMM slots; 2.0TB max memory!
– Up to 16 slots, PCI-E 2.0 or PCI-X
– Quad-Port 1GbE embedded NIC upgradable to Dual Port 10GbE
PREM
A A
rchite
cture
Breakthrough Efficiency
– Consolidate up to 197 legacy servers on to a
single system
– HP-only innovations like Thermal Logic, Sea of
Sensors, and Dynamic Power Capping for ROI
that competitors can’t touch
– iLO3 & Insight Control for tomorrow’s
datacenter capabilities today
OPTIMAL SCALING FOR VIRTUALISATION, ERP AND DATABASE DEPLOYMENTS
Bringing HP scale up expertise to 8-socket x86 systems
FASTER RESPONSE TIME
DL 980
Exclusive
HP PREMA ArchitectureSmart CPU Caching
Up to 50%reduction in
inter-processor communication
Eliminates system bottleneck
Minimiseinter-processor communication
Accelerate local memory
access
Dynamic trafficrouting
30% improvement in memory latency
Processor
Processor
Processor
ProcessorPr
oce
ssor
Proce
ssor
Proce
ssor
Proce
ssor
SELF-HEALING RESILIENCY THROUGH INNOVATIONS ON INDUSTRY STANDARDS
CPU Resiliency
System Resiliency
HP PREMA ArchitectureDynamic routing on System Fabric
Enhanced MCA logging
Machine Check Architecture
Advanced memory protection
Corruption PreventionHot Plug RAID
Link Level RetryOS enhanced availability
Advanced reliability with
resilient system fabric
200%boost in server availability
Resi
liency
Leverages
mission critical designs of Superdome 2
DL980 G7 BLOCK DIAGRAM
Boxboro
5 slots + mgmt
Upper
Interface Board
Lower
Interface Board
Link Board
Boxboro
6 PCI-e slots
Boxboro
5 PCI-e LP slots
XNC Board
XNC XNC
XNC Board
XNCXNC
Lower CPU Board
Nehalem-EX
16 DIMMs4 Mill-Brooks
2xRisers
16 DIMMs4 Mill-Brooks
2xRisers
16 DIMMs4 Mill-Brooks
2xRisers
16 DIMMs4 Mill-Brooks
2xRisers
Nehalem-EX
Nehalem-EX
Nehalem-EX
Upper CPU Board
DL580 G7
HP PROLIANT DL980 G7 AWARD-WINNING PERFORMANCE
• #1 non-clustered Windows x86 benchmark result on TPC-H@3000GB : BI leadership
• #1 8-Processor x86 SPECjbb2005 benchmark result : Java business application performance leadership
• #1 single-node SPECjAppServer2004Result: Java application server performance leadership
• #1 8-Processor x86 single-node SPEC CPU2006 benchmark results
• #1 8-processor Windows/SQL Server two-tier SAP® Sales and Distribution (SD) Standard Application Benchmark result with SAP enhancement package 4 for SAP ERP 6.0
SUMMARYImpacts and Benefits
Database Workloads
• Lots of simultaneous users (100s – 1000s)
• Large databases for OLTP and decision support
• IO intensive
• Write intensive
• Compute intensive
• Non partition-able data and application
• Batch workloads
• Consolidation of OLTP, batch and ad hoc reporting
• 47% lower
• 3 Year TCOfor similar performance
• 50% lower initial application configuration cost
• 50% lower database administration costs
Cost Benefitsof Scaling Up
Most data intensive workloads are better suited to a scale-up approach
ADVANTAGES OF SCALING UP
Why ?
WHO’S BUYING 8 PROCESSOR SCALE-UP SERVERS?
– Two and four socket x86 customers who• Need greater capacity and scaling as their applications hit
headroom constraints• Want scalability WITH performance • Value the operational cost savings of a consolidated
environment• Want to consolidate a larger number of virtual machines
– RISC/EPIC users who made a strategic decision to migrate to x86 and want • Comparable performance and scaling• Lower costs and flexibility of industry standard servers• Lower operational costs of a larger, 8 socket server over time
versus 2 and 4 socket solutions
Large query-intensive
workloads
I/O or memory-constrained environments
Consolidation for improved
resource utilization
EXECUTIVE SUMMARY
SCALE UP AND SCALE OUT solutions can both be viable architectural choices, depending on the specific deployment
Influenced by• Application design
• DB, DW, ERP, possibilities..• Management/availability• Cost vs. TCO
Application deployments are frequently a combination of scale up and out: • eg DB tier up,
and app/front end/web pages tier out
NEXT STEPS
Visit: The Cloud System Feature
Engage: See the HP Rep at rear of clinic
Seek more: Request follow up via Eval Form
Re-Live: www.hp.com.au/taw11post