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This document discusses the emergence of persistent memory (PM) technologies for big data applications and the challenges of using DRAM alone. It proposes a new approach of combining PM, such as NVDIMM and 3D XPoint, with flash memory and a software stack to get the low latency of memory and high capacity of storage. This could provide a single storage platform for NoSQL databases with predictable performance, easy deployment and management, and faster recovery times compared to traditional siloed memory and storage architectures.
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20160811 s301 e_prabhat
- 1. Persistent Memory (PM) for Big Data & Analytic Kumar Prabhat, Sr Director Product, Plexistor Flash Memory Summit 2016 Santa Clara, CA 1
- 2. Agenda § Enterprise Applications/IT Environment (2006 & Beyond) § Emergence of New Generation of Applications § The In Memory Challenges § Opportunity for Flash and PM § A New Approach to Storage § Benefits § Summary 8/14/16 2
- 3. Enterprise Applications/IT Environment (2006 and Beyond) 3 Volume Velocity Variety + = Big Data Fast DataNOW
- 4. Emergence of In Memory Applications and No SQL: 2010 & Beyond 8/14/16 4 • Millions of nodes deployed • Massive Adoption of open source • In-memory compute gave up on Storage and moved the working set to Memory • tremendous performance gains, but challenging
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- 6. Good News… § Emergence of persistent memory • different cost/performance characteristics • NVDIMM, 3DxPoint, ReRAM § Massive Adoption of Flash in Data Center • SAS, SATA, PCIe, NVMe § Availability of Network Speed (40GB -> 100 GB) 8/14/16 6
- 7. Opportunity § Bring the best of both worlds • leverage persistent memory and Flash § Memory like speed to address application latency requirements § High capacity & low cost of traditional storage 8/14/16 7
- 8. A New Approach to Storage § New Software Stack for Persistent Memory § Convergence of memory and storage § Unlock the power of byte addressability of memory § Tier Architecture with SCM and Flash § Memory Oriented Data Services § Support for standard API • POSIX, NVML 8
- 9. A New Approach 8/14/16 DRAM FLASHNVDIMM 3DxPoint LINUX NEW ABSTRACTION LAYER DATA SERVICES Standard POSIX
- 10. Benchmark running in Amazon EC2 8/14/16 10
- 11. Performance Benefit – Shared Storage Millions of writes utilizing Mellanox 100GbE/RDMA with few 𝜇s of latency, an order of magnitude better than Rack Optimized Flash Storage solutions such as DSSD (~100 𝜇s)8/14/16 11 Shared Storage (SCM + FLASH) Latency sensitive application 100GbE RDMA 100GbE RDMA Latency sensitive application X86 Server New Software Stack X86 Server New Software Stack X86 Server New Software Stack
- 12. Very Fast Data Replication 12 At 1 million write ops/s: (40Gb) • Async < 4us • Sync < 6us Using Mellanox 100GbE with RDMA
- 13. Benefits 13 Single Storage PlatformPredictable End User Experience Easy to Deploy & Manage • Run all NoSQL DB’s - I/O & Latency sensitive • Persistent • Address dynamic work loads • Eliminate storage spikes • No overprovisioning, no dedicated hardware • Faster Recovery • No Application Modification
- 14. Summary § Memory and storage convergence is the future! § Persistent Memory is great technology, but also complex and expensive than Flash! The right approach will be to mix FLASH with PM and new software stack 8/14/16 14