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Accelerating storage for real time application performance Solution Launch © 2006 Gear6. All rights reserved. Information ...
The Server-Storage Performance Gap <ul><li>Increasing demands: </li></ul><ul><ul><li>Greater peak loads </li></ul></ul><ul...
Announcing... <ul><li>An innovative solution to close the server-storage performance gap: CENTRALIZED STORAGE CACHING </li...
Leading Data Centers Recognize the Need <ul><li>&quot;If you have a single server doing one application, it doesn't matter...
Current Solutions Have Significant Limitations <ul><li>Excessive Over-provisioning </li></ul><ul><ul><li>High initial cost...
Introducing: Centralized Storage Caching <ul><li>Applies well-known caching concepts to modern data center architectures <...
Benefits of Centralized Storage Caching <ul><li>Complement existing infrastructure </li></ul><ul><ul><li>Transparent insta...
<ul><li>Use high-speed RAM to overcome performance limitations of traditional disk-based storage </li></ul>CACHEfx™ Scalab...
Scenarios and Segments <ul><li>Application Characteristics </li></ul><ul><ul><li>Large data sets </li></ul></ul><ul><ul><l...
Centralized Storage Caching Use Cases <ul><li>Problems </li></ul><ul><ul><li>I/O constraints </li></ul></ul><ul><ul><li>Po...
Sample Data Center Installation with NAS Filers CACHEfx™ Appliance NAS Clients NAS Filers (NFS) Un-accelerated Data Path C...
Rebalancing the Data Center <ul><li>“ But the miraculous advance of disk storage concealed a problem: The larger and dense...
Key Points <ul><ul><li>Performance gap is real and growing </li></ul></ul><ul><ul><li>Centralized storage caching represen...
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Gear6 Solution Launch

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Gear6 Solution Launch Presentation

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Gear6 Solution Launch

  1. 1. Accelerating storage for real time application performance Solution Launch © 2006 Gear6. All rights reserved. Information in this presentation may be subject to change.
  2. 2. The Server-Storage Performance Gap <ul><li>Increasing demands: </li></ul><ul><ul><li>Greater peak loads </li></ul></ul><ul><ul><li>Stringent latency requirements </li></ul></ul><ul><ul><li>Larger data sets </li></ul></ul><ul><ul><li>More transactions from increasing user access </li></ul></ul><ul><li>Disk storage has mechanical limitations </li></ul><ul><li>No longer sufficient for all needs </li></ul><ul><li>Widening gap between server performance and disk-based storage systems </li></ul>Server/CPU Disk drives Increasing server performance Constrained, disk-based storage performance Accelerated storage with Gear6
  3. 3. Announcing... <ul><li>An innovative solution to close the server-storage performance gap: CENTRALIZED STORAGE CACHING </li></ul><ul><ul><li>First centralized caching solution </li></ul></ul><ul><ul><li>Dramatic performance improvements </li></ul></ul><ul><ul><ul><li>Increased throughput AND reduced access time </li></ul></ul></ul><ul><ul><li>Complements existing storage infrastructure </li></ul></ul><ul><li>Trend toward rebalancing the data center </li></ul><ul><ul><li>Scalable memory set to complement disk-based systems </li></ul></ul>
  4. 4. Leading Data Centers Recognize the Need <ul><li>&quot;If you have a single server doing one application, it doesn't matter what kind of storage you have,&quot; he says. &quot;When you start increasing the number of servers and applications that access the same data over and over, then you really need to increase IOPS.&quot; </li></ul><ul><ul><li>Principal Systems Engineer, Biotech Firm (Byte and Switch 9.13.06) </li></ul></ul><ul><li>&quot;Our central file system was getting hammered in a way it had never been hammered before. The NFS caches couldn't go fast enough — they did not have enough RAM on them.&quot; </li></ul><ul><ul><li>Vice President Technology, Animation Studio (Byte and Switch 4.13.06) </li></ul></ul>
  5. 5. Current Solutions Have Significant Limitations <ul><li>Excessive Over-provisioning </li></ul><ul><ul><li>High initial cost </li></ul></ul><ul><ul><li>High ongoing cost of tuning and support </li></ul></ul><ul><ul><li>I/O still at drive speeds </li></ul></ul><ul><li>Storage Device Caching </li></ul><ul><ul><li>Expensive proprietary hardware </li></ul></ul><ul><ul><li>Does not scale past single subsystem </li></ul></ul><ul><li>Server-based Caching </li></ul><ul><ul><li>Limited capacity and scalability </li></ul></ul><ul><ul><li>Cost hit in each server </li></ul></ul><ul><ul><li>Potentially disruptive </li></ul></ul>Proprietary CACHE CACHE
  6. 6. Introducing: Centralized Storage Caching <ul><li>Applies well-known caching concepts to modern data center architectures </li></ul><ul><li>Keeps frequently accessed data in a very large, scalable central memory pool </li></ul><ul><li>Makes cache available as a shared network resource </li></ul><ul><li>Enables high performance data access by avoiding time-consuming disk operations </li></ul><ul><li>Accelerates applications due to dramatically decreased response times and increased data throughput </li></ul>
  7. 7. Benefits of Centralized Storage Caching <ul><li>Complement existing infrastructure </li></ul><ul><ul><li>Transparent installation </li></ul></ul><ul><ul><li>No change to current applications or storage resources </li></ul></ul><ul><li>Maximize valued resources </li></ul><ul><ul><li>Cache available to all servers and storage devices </li></ul></ul><ul><li>Scale easily </li></ul><ul><ul><li>Add cache modules on the fly </li></ul></ul><ul><ul><li>Create multi-terabyte installations </li></ul></ul><ul><li>Simplify configurations </li></ul><ul><ul><li>Reduce over-provisioning </li></ul></ul><ul><ul><li>Intelligence caching removes need for active management </li></ul></ul>CACHEfx™
  8. 8. <ul><li>Use high-speed RAM to overcome performance limitations of traditional disk-based storage </li></ul>CACHEfx™ Scalable Caching Appliances <ul><li>Accelerate data center systems and applications by transparently eliminating I/O bottlenecks </li></ul><ul><li>Complement existing infrastructure </li></ul><ul><li>Deliver new capabilities </li></ul><ul><ul><li>Unmatched performance </li></ul></ul><ul><ul><li>Thousands of concurrent clients </li></ul></ul><ul><ul><li>Eliminate over-provisioning </li></ul></ul><ul><ul><li>Peak load management and QoS </li></ul></ul><ul><li>Characteristics </li></ul><ul><ul><li>Scale to multiple terabytes </li></ul></ul><ul><ul><li>Support millions of IOPs </li></ul></ul><ul><ul><li>Reduce milliseconds to microseconds </li></ul></ul><ul><ul><li>Serve parallel I/O requests </li></ul></ul>
  9. 9. Scenarios and Segments <ul><li>Application Characteristics </li></ul><ul><ul><li>Large data sets </li></ul></ul><ul><ul><li>Random data access </li></ul></ul><ul><ul><li>High number of concurrent clients and transactions </li></ul></ul><ul><ul><li>Significant peak loads </li></ul></ul><ul><ul><li>Service level requirements </li></ul></ul><ul><li>Databases </li></ul><ul><li>Energy and Exploration </li></ul><ul><li>Electronic Design </li></ul><ul><li>Media Delivery </li></ul><ul><li>Financial Simulation </li></ul><ul><li>Biotechnology </li></ul><ul><li>Animation </li></ul>Fits a broad range of applications and segments
  10. 10. Centralized Storage Caching Use Cases <ul><li>Problems </li></ul><ul><ul><li>I/O constraints </li></ul></ul><ul><ul><li>Poor utilization </li></ul></ul><ul><ul><li>Varying service levels </li></ul></ul><ul><li>Solution </li></ul><ul><ul><li>Increase I/O throughput </li></ul></ul><ul><ul><li>Shorten response times </li></ul></ul><ul><ul><li>Deliver consistent performance </li></ul></ul><ul><li>Benefits </li></ul><ul><ul><li>Shorten processing times </li></ul></ul><ul><ul><li>Simplify configurations </li></ul></ul><ul><ul><li>Easily manage peak loads </li></ul></ul><ul><ul><li>No infrastructure change </li></ul></ul>Database Servers Application Servers Disk Storage CACHEfx™ Performance and Acceleration Reduce over-provisioning Quality of Service
  11. 11. Sample Data Center Installation with NAS Filers CACHEfx™ Appliance NAS Clients NAS Filers (NFS) Un-accelerated Data Path Cached files served 10-50x faster from RAM Accelerated Data Path Implementation of Centralized Storage Caching
  12. 12. Rebalancing the Data Center <ul><li>“ But the miraculous advance of disk storage concealed a problem: The larger and denser the individual disks, the longer it takes to scan them for information.... </li></ul><ul><li>The solution is to deploy huge amounts of random access memory (RAM)... </li></ul><ul><li>RAM can be accessed some 10,000 times faster than disks. So, measured by access time, RAM is 100 times cheaper than disk storage.” </li></ul><ul><ul><li>George Gilder, The Information Factories Wired Magazine, October 2006 </li></ul></ul>
  13. 13. Key Points <ul><ul><li>Performance gap is real and growing </li></ul></ul><ul><ul><li>Centralized storage caching represents a new and innovative solution </li></ul></ul><ul><ul><li>Unique scalable caching appliance delivers </li></ul></ul><ul><ul><ul><li>Instant data access </li></ul></ul></ul><ul><ul><ul><li>Fit with existing infrastructure </li></ul></ul></ul><ul><ul><li>Broad fit across applications and segments </li></ul></ul><ul><ul><ul><li>Immediate acceleration and service guarantees </li></ul></ul></ul>

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