Virtualization Selling with IBM Tape
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1 Virtualization Selling with IBM Tape Thepvitoon Kultumyotin Agenda Introduction IBM Tape Portfolio Virtual Tape Virtual Tape Concepts IBM TS7530 Product Overview IBM De-Duplication IBM TS7650G ProtecTIER Deduplication Concepts TS7650G ProtecTIER Product Overview Summary Q&A 1
2 Introduction Over 55 Years of Tape Innovation Starting in 1952 IBM 726 Tape Unit 7,500 characters per second 100 bits per inch and continuing in 2008 IBM TS1130 Tape Drive up to 160MBps George Boole invents binary algebra up to 1TB IBM st magnetic tape drive 1964 IBM st read/back drive 1995 IBM LTO Gen LTO Gen LTO Gen3 O P E N 2007 LTO Gen4 E N T E R P R I S E 1928, IBM invents the 80 column Punch Card 1959 IBM st read/write drive 1984 IBM st cartridge drive 1999 IBM 3590E Gen Gen Gen3 1 represents maximum native performance or cartridge capacity 2
3 Tape s Evolving Role Tape is an integral part of the storage hierarchy Customers store 4-15X more data on tape than disk Tape is low cost Tape uses less energy Tape is intrinsically On-Demand Tape is removable and portable $/GB $50.00 $10.00 $1.00 Projected Storage Prices Tape media has a long life Tape is ideally suited for: Information availability Information retention Information security Information compliance $ Industry Disk HC LC Disk Average Tape Source: Disk - Industry Analysts, Tape - IBM IBM System Storage Tape Tape Continuum TS1040 (LTO4) TS3200 (3573) TS1120 (3592) TS3100 (3573) TS3310 (3576) 3494 TS3500 (3584) TS7530 (distributed) TS7740 (mainframe) Tape Drives Tape Libraries Virtualization LTO4 tape drive Supports up to 800GB cartridge capacity Up to 120MB/s throughput Standard & Half-High versions TS1120 tape drive/controller Second generation tape drive ESCON & FICON support Tape drive data encryption 100, 500 and 700GB cartridge capacity Up to 100MB/s throughput TS3100 tape library (1/2d, 24 slots) TS3200 tape library (2/4d, 48 slots) TS3310 tape library (18d, 396 slots) Stackable modular design TS3500 tape library (192d, >6000 slots) Linear scalable design High Availability LTO and TS1120 tape drive 3494 tape library Investment protection TS1120 and 3590 support Virtualization Engine TS7530 Up to 4800MB/s throughput Up to 1.7PB cache capacity Virtualization Engine TS7700 Up to 815MB/s throughput 6TB native cache 12TB with GRID (PtP) Standalone or GRID (PtP) (A-)synchronous data replication Third site support Advanced cache management 3
4 IBM Tape Portfolio Tape automation Tape virtualization TS3100 (3573) Entry Midrange Enterprise TS3200 (3573) TS3310 (3576) TS7500 (open) TS TS3500 (3584) TS7700 (mainframe) 3494 Tape Drives LTO 3 & 4 HH LTO 3 & 4 LTO Media TS1130 (3592) 3592 Media Tape Backup Concepts 4
5 Sample Business Continuance Infrastructure Secondary Storage NAS Application Servers Backup Servers DAS Primary Storage LAN Attached Metadata Server Backup Server NAS Backup Server SAN Attached Tape Library DAS Tape Drive Tape Drive Tape Backup LAN or WAN attached servers Backup uses TCP/IP protocol Client loaded on application server Usually scheduled by backup server Client can initiate backup / restore Data pushed/pulled through backup server SAN attached servers Backup uses FC protocol Client loaded on application server Usually scheduled by application server Client can initiate backup / restore Data pushed/pulled by application server 5
6 Why virtualizes the open system tape process? Virtual tape can be employed to help 1. Improve the backup process Address network limitations Manage immense data growth 2. Improve the recovery time objective Eliminate physical tape movement Reduce contention for resources 3. Improve the recovery point objective By creating incremental backups more frequently By writing incremental backups to cache 4. Augment the existing business continuance infrastructure Reduce bottlenecks and utilize tape assets more efficiently Optimize IT resources 5. Optimize the IT business continuance infrastructure De-Duplication Duplication Overview 6
7 Storage Networking Technology Ranking of User Needs and Planned Spending for Each Technology Rank 1 2 Technology Deduplication Virtual Tape Library (VTL) for Open Systems Score Source: TheInfoPro, Inc. Wave 10 Survey, Jan 2008 Storage Professionals Pain Points What are your two biggest Storage related pain points? Managing Storage Growth Proper Capacity Forecasting & Storage Reporting Backup Administration & Management Managing Costs Managing Complexity Storage Provisioning Archiving and Archive Management Dealing with Performance Problems Data Mobility Lack of Integrated Tools Regulatory Compliance Power Management Vendor Management 0% 10% 20% 30% 40% 50% TheInfoPro Storage Study Wave 9 (4/5/07): F1000 Sample. n=149. Other n=14. *Multiple responses recorded 7
8 Enterprise De-dupe Requirements Performance Data is growing, backup windows are shrinking. Solutions must allow customers to process more data faster Capacity Business needs and regulation are driving the need for long term on-site disk-based data retention. Solutions must allow for large and growing (hundreds of TB) repositories Data Integrity Information is the company s lifeblood. Data integrity is essential Non-Disruption The solution must fit with existing practices, policies and SLAs Enterprise De-dupe Requirements Performance Data is growing, backup windows are shrinking. Solutions must allow customers to process more data faster 8
9 Enterprise De-dupe Requirements Capacity Business needs and regulation are driving the need for long term on-site disk-based data retention. Solutions must allow for large and growing (hundreds of TB) repositories Enterprise De-dupe Requirements Data Integrity Information is the company s lifeblood. Data integrity is essential 9
10 Enterprise De-dupe Requirements Non-Disruption The solution must fit with existing practices, policies and SLAs IBM TS7650G ProtecTIER Differentiators Performance Sustainable 450 MB/s per node (900 MB/s two node cluster), performing inline de-duplication Enterprise-Class Data Integrity Binary diff process during de-dupe designed for the highest data integrity Capacity Up to 1 PB physical capacity per node Non-Disruption Daily Operations Inline de-duplication eliminates need for significant secondary processing Implementation Integrates well with existing backup environment and infrastructure 10
11 Why IBM De-duplication IBM s capability to integrate Virtualization and Data de-duplication IBM s unique capability to leverage key acquisitions - Diligent Over 30 years experience with storage virtualization IBM s plans to deploy De-duplications across the storage portfolio Complete range of skills to support De-duplication across the enterprise Implementation with Virtual Tape, Tivoli Storage Manager, and N series Integration of Software, Disk & Tape for tiered storage IBM s Data De-duplication Offerings Virtual Tape De-duplication IBM System Storage TS7650G ProtecTIER De-duplication Gateway Virtualized Tape and De-duplication for the Enterprise Software De-duplication Tivoli Storage Manager (TSM) Extended Edition V6.1 De-duplication within the Backup/Recovery application Network Attach Storage De-duplication N series advanced Single Instance Storage (A-SIS) De-duplication for IBM NAS offerings 11
12 IBM TS7650G ProtecTIER De-duplication Concepts Changing the Data Protection Game Protect More Store Less ProtecTIER reduces the required backup disk capacity by up to 25X s or more 12
13 TS7650G ProtecTIER Overview Virtual Tape Library FC Backup Server TS7650G Disk Array Software solution that resides on standard Linux server Emulates a tape library unit, including drives, cartridges and robotics Uses FC-attached disk array as the backup medium Protect More Store Less TM Represented capacity Master Server Backup Server ProtecTIER Server Physical capacity Up to 25X the physical capacity 13
14 Real World Impact of HyperFactor Telecom Nominal Data Protected (TB) 190 Physical Capacity (TB) 13 Retailer Financial Manufacturing TS7650G ProtecTIER De-Duplication Gateway, Clustered FC Switch TS7650G x 2 2 Node Cluster Backup Servers Active-active true clustered nodes High performance (900MB/s sustainable) Highly available Backup Arrays High capacity, highly scalable Easily manageable Two nodes working together One repository 14
15 ProtecTIER Vision and Criteria: 1. Data-agnostic factoring of up to 25x 2. Enterprise Class inline performance: 450 MB/s per one nodes (can up to 900 MB/s) 3. Unmatched scalability: 1 PB physical data % data-integrity during de-dupe process 5. Simple, non-disruptive deployment 6. Software-only solution: hardware agnostic No other Most de-dupe elements of technology new-data backed meets up all today these criteria! already exist in previous backups New Data Stream Repository Memory Resident Index FC Switch TS7650G Disk Arrays Backup Servers Ratio of Repository to Index: 250,000 : 1 Filtered data 15
16 Replication with ProtecTIER Primary Site Backup Server ProtecTIER Gateway Represented capacity Physical capacity Secondary Site Backup Server PT-server based replication Significant bandwidth reduction Represented capacity Backup Server ProtecTIER Gateway Physical capacity ProtecTIER Remote Replication Benefits Reduced bandwidth over WAN Redundancy in systems for disaster recovery Ability to have tapes off site immediately Ability to use cross data center bunkering and eliminate tape transportation 16
17 De-duplication Technique : Three Basic Approaches HyperFactor A different approach based on an agnostic view of data Hash based de-duplication Sometimes referred to as a Content Addressable Storage approach Content Aware Assumes the best candidate to de-dupe against is an object with the same properties (name etc.) HyperFactor Approach 1. Look through data for similarity New Data Stream 2. Read elements that are most similar 3. Diff reference with version will use several elements Element A Element B Element C 4. Matches factored out unique data added to repository 17
18 Hash Based Approach 1. Slice data into chunks (fixed or variable) A B C D E 2. Generate Hash per chunk and save A h B h C h D h E h 3. Slice next data into chunks and look for Hash Match A B C D E 4. Reference data previously stored Content Aware Approach 1. Look through data for fully qualified file names File A File B File C File D 2. Locate previous version of file File A extents 1,2,3,4 3. Compare reference with version File A File B File C File D 4. Update reference to point to new reference 18
19 Hash and content aware de-duplication approaches require a tradeoff between compression and performance Because of HyperFactor s breakthrough approach, ProtecTIER does not have this fundamental limitation De-Dupe/ Performance Frontier De-Dupe Ratio ProtecTIER TB Performance/Scalability PB Two Basic Implementations #1 Inline As data is received by the target device it is de-duplicated in real time not temporarily stored on disk Data written to the disk storage is de-duplicated #2 Post Processing As data is received by the target device it is temporarily stored on disk storage Data is subsequently read back in to be processed by a de-duplication engine 19
20 Step 1: Index Lookup HyperFactor Memory access even when scaled to PBytes Processing 10 TB requires only RAM-based index searches index search is never a bottleneck Hash Based Given average of an 8 KBytes data slice per fingerprint Requires 1,250,000,000 accesses to an Index to process 10 TB a major bottleneck Content Aware File size dependant Given average file size of 1 MByte requires 10,000,000 accesses to an Index to process 10 TB- a major bottleneck Step 2: Backup Payload Processing Example of How Disk Sees De-Dupe For 10 TBytes Output 1 HyperFactor Inline 10 TB Output HyperFactor Read 10 TB 1x Computational Difference 2 Hash Based Inline 10 TB Output Hash Based 0x 20
21 Step 2: Backup Payload Processing Example of How Disk Sees De-Dupe For 10 TByte Output 3 Hash Based Post Process 10 TB Output Hash Based Write 10 TB Read 10 TB 2x 4 Content Aware Post Process 10 TB Output Content Aware Write 10 TB Read 10 TB Read 10 TB 3x Computational Difference Combining I/O Activity for 10 TBytes Approach I/O Accesses to Index Disk Payload (TBytes) HyperFactor Hash Inline Hash Post Content Aware 0 > 1 Billion * > 1 Billion ~10 Million * This can be hosted in memory if the mapped area is small. When dealing with a 10 TByte payload this is not likely. 21
22 Is There a Meaningful Difference? Time Will Tell! Case Study: Impact of Different Post-Process De-dupe Speeds Profile Receive at 300 MB/s Post 100 MB/sec Backup 6 TB Takes approximately 6 hours Post process then consumes the next 18 hours! So, it takes 24 hours to process 6 TB But What about resources in support of vaulting/off-site? When de-dupe is a post-process it competes for disk resources as any other process? Actual performance: 6 TB / 24 Hrs = 69.4 MBPS 22
23 Inline Processing Backup Server ProtecTIER VT Tape Library Truck De-Dupe SLA is Met 8:00 PM 2:00 AM 8:00 AM 8:00 PM Post Processing De-Dupe Overlap Backup Server VTL Tape Library Truck De-Dupe De-Dupe 8:00 PM 2:00 AM 8:00 AM 8:00 PM Post Process Performance Calculations Both the ingest rate and the de-duplication rate must be considered in assessing true performance Vendors claim high throughput for the ingest rate, but ignore the post process window Example: Post Process de-dupe of 6 TB Ingest 6 hours Vendor claims 300 MBPS performance De-dup 18 additional hours* but vendor neglects the post process window Actual performance: 6 TB / 24 Hrs = 69.4 MBPS 23
24 Summary : IBM TS7650G ProtecTIER Performance - 450MB/s sustainable in-line de-duplication, 900MB/s per two node cluster Scalability - up to 1 PB per system Inline de-dupe eliminates operational impact Ease of Management Integrates well with existing B/U environment & infrastructure Support current user s B/U policies A new breakthrough in data protection is here Summary : Virtualization Selling with IBM Tape 24
25 Using the right balance of high density tape and high performance disk is the solution... Long Term Retention Cost effective capacity Removable & transportable Compliance Meet financial & regulatory requirements Data encryption, WORM Short Term Retention Use disk for daily backup & restore operations Performance Fast backups Even faster restores Meet backup windows IBM VTL Positioning For customers who need to Virtualize tape processing Simplify and accelerate information retention Improve backup window performance And also need Data De-duplication Reduce amount of disk and improve manageability Up to 25x data capacity reduction Up to 1PB physical capacity Cluster configuration support FC backend Disk support And don t require Data De-duplication* Native replication Backend IBM Tape drive & Library support HW Compression SATA disk drive integration System i support TS7650G ProtecTIER Gateway TS7520 & TS7530 *There are no plans to support Data De-duplication on the TS
26 IBM is delivering de-duplication across its entire storage portfolio Addressing the full spectrum of customer requirements for data reduction Complementary Solutions Today! TS7650G ProtecTIER Gateway 10+TB/night, >100MB/s performance Easy management (via an appliance model) Deduplication is only done once Minimal overall operational impact (via no post processing) Dedup data from multiple backup vendors including TSM For customers who need to Lower operational costs and energy usage Simplify and accelerate information protection Reduce amount of disk and improve manageability But can be done at multiple enterprise locations No impact during backups/ingest Fully integrated into TSM No specific hardware dependencies Tivoli Storage Manager Dedup TSM legacy data With additional Information Infrastructure deduplication solutions planned 51 Q&A 26
27 Additional Resources Web sites External: ibm.com/servers/storage/tape External: ibm.com/servers/storage/virtualization External: ibm.com/systems/storage/tape/library.html (Tape Intermix) External: ibm.com/servers/storage/tape/compatibility (ISV Support) External: 27
28 Trademarks and Disclaimers 8 IBM Corporation All rights reserved. References in this document to IBM products or services do not imply that IBM intends to make them available in every country. Trademarks of International Business Machines Corporation in the United States, other countries, or both can be found on the World Wide Web at Intel, Intel logo, Intel Inside, Intel Inside logo, Intel Centrino, Intel Centrino logo, Celeron, Intel Xeon, Intel SpeedStep, Itanium, and Pentium are trademarks or registered trademarks of Intel Corporation or its subsidiaries in the United States and other countries. Linux is a registered trademark of Linus Torvalds in the United States, other countries, or both. Microsoft, Windows, Windows NT, and the Windows logo are trademarks of Microsoft Corporation in the United States, other countries, or both. UNIX is a registered trademark of The Open Group in the United States and other countries. Java and all Java-based trademarks are trademarks of Sun Microsystems, Inc. in the United States, other countries, or both. Other company, product, or service names may be trademarks or service marks of others. Information is provided "AS IS" without warranty of any kind. The customer examples described are presented as illustrations of how those customers have used IBM products and the results they may have achieved. Actual environmental costs and performance characteristics may vary by customer. Information concerning non-ibm products was obtained from a supplier of these products, published announcement material, or other publicly available sources and does not constitute an endorsement of such products by IBM. Sources for non-ibm list prices and performance numbers are taken from publicly available information, including vendor announcements and vendor worldwide homepages. IBM has not tested these products and cannot confirm the accuracy of performance, capability, or any other claims related to non-ibm products. Questions on the capability of non-ibm products should be addressed to the supplier of those products. All statements regarding IBM future direction and intent are subject to change or withdrawal without notice, and represent goals and objectives only. Some information addresses anticipated future capabilities. Such information is not intended as a definitive statement of a commitment to specific levels of performance, function or delivery schedules with respect to any future products. Such commitments are only made in IBM product announcements. The information is presented here to communicate IBM's current investment and development activities as a good faith effort to help with our customers' future planning. Performance is based on measurements and projections using standard IBM benchmarks in a controlled environment. The actual throughput or performance that any user will experience will vary depending upon considerations such as the amount of multiprogramming in the user's job stream, the I/O configuration, the storage configuration, and the workload processed. Therefore, no assurance can be given that an individual user will achieve throughput or performance improvements equivalent to the ratios stated here. Photographs shown may be engineering prototypes. Changes may be incorporated in production models. 28
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