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Datacentre sprawl is largely driven by inefficiency, one source of which is the inability to fully utilise CPU’s due to the latency of persistent storage. Fusion-io provides a building block upon which innovative application design and service provision can be delivered to unprecedented density and efficiency levels.
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How to have your cake and eat it too! AKA Compute more, collapse server count, save power and
reduce cooling.
History
1997 4.5GB Disk around 100MB/s or 80 IOPs
2010 300GB Disk around 300 MB/s or 180 IOPs
1997 Pentium Pro 541 MIPS at 200Mhz (2.7 per cycle)
2010 Core i7 EE 147,600 MIPS at 3.3 GHZ (44.7 per cycle)
Do you know about “The Gap” ?
“The Gap”
CPU DiskTim
e
Response Time
DMA
Virtual Storage Layer “VSL”
What we are briefly
Up to 640 GB capacityApprox 650 MB /S bandwidthApprox 120,000 IOPSLatency sub 40 us
Up to 1.3 TB CapacityAprox 1.3 GB /S bandwidthApprox 240,000 IOPSLatency sub 40 us
Case Study
Data Center Footprint w/o FIO
• 132 nodes
• 9240 hard disks
• 66 SAN controllers
• 43 racks
• 264 DDR InfiniBand™ links
Data Center Footprint with FIO
• 80 nodes
• 160 x 320GB ioDrive Duos
• 160 x 320GB ioSANs
• 2 racks
• 160 x QDR InfiniBand™ links
• 160 x 10GbE links
Case Study
“This new technology will allow us to meet the performance requirements critical to fulfilling our national security missions well into the future, while dramatically reducing power consumption and satisfying new energy conservation initiatives.”
Mark Seager, Head of Advanced Computing Technology
Case Study: MySpace
World’s Largest SQL Server Database (by transaction)
• Cut hardware (and power) needs by 60%
• Recovered over three fourths (280U) of rack space
• Improved system reliability with non-volatile memory and elimination of 2300 failure points
• Significantly reduced carbon footprint by lowering power and cooling requirements
Case Study: MySpace.com
“The ioDrive’s did more than just match the performance of our disk array servers, they screamed past them. In fact, applications on the servers with ioDrives performed nearly as well as those that ran purely in RAM.”
Shawn Mercer Director Systems Engineering
Case Study
• Twice the performance capacity on 1/4th the servers
• Over 100% ROI on day of purchase
• 75% reduction to operating costs on server administration, database administration, rack space, and power and cooling
• 9x Improvement to query processing throughput
• 30x+ improvement to replication performance
• 8x+ Improvement to disaster recovery time
Case Study
“The value of the cards is tremendous. By reducing the servers I needed from around twenty to five, I estimate my capex per cluster improved by the cost of about ten servers, plus I have significant headroom for future growth. Also important, I reduced my database layer’s operating costs by 75%.”
Dan MarriottDirector of Production Operations
Case Study
• 5x improvement to
• Database replication performance
• Data intensive query response
• Analysis routines
• Eliminating 210 failure points from system
• Implemented full system redundancy
• Dramatically lowered power and cooling expenses
Internet security company that protects over 1 billion inboxes
Case Study
There is another way…
By deploying ioMemory… Cloudmark eliminated the need for this…
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