BankShot Caching Slow Storage In Fast NVM
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1 BankShot Caching Slow Storage In Fast NVM Meenakshi Sundaram Bhaskaran, Jian Xu, Steven Swanson Non-volatile Systems Laboratory Department of Computer Science and Engineering University of California, San Diego 1
2 Overview Motivation System Overview Design Options Evaluation 2
3 Technology Trend Memristor PCM STT- RAM DRAM Flash HDD Density (F2) < /3 Read Time (ns) < , x10 6 Write (ns) ~ , x10 6 Endurance > Source: Yang, J Joshua, Dmitri B Strukov, and Duncan R Stewart. "Memristive Devices for Computing." Nature nanotechnology 8, no. 1 (2013): doi: /nnano , 3
4 Big Data World s Server processed 9 Zettabytes of data in 2008 hmi.ucsd.edu Over half a petabyte of new data arrives in the warehouse every 24 hour - Facebook Google processes over 20 petabyte of data per day arstechnica.com 82 per cent of traffic was focused on just 8 per cent of photos - Facebook Emerging NVM are most suitable as a persistent cache for larger conventional storage 4
5 Cache Hierarchy System Design A cache manager in kernel lookup, Allocation eviction OS provides Set protection Mediate sharing file Application file file Application reads/writes files using POSIX calls Userspace OS File System Cache Layer Maintains disk to cache mapping Block Layer Queues to access Disk and cache NVM Disk 5
6 SW & OS Overhead 4KB Cache hit Kernel + FS: 10.7us The Cache layer + Meta data persist: 21.2us PCM: 8us Software overhead obscures performance benefits of using Emerging NVM as Cache file Application file Application reads/writes files using POSIX calls Userspace OS File System Cache Layer Maintains disk to cache mapping Block Layer Queues to access Disk and cache NVM file Disk 6
7 Overview Motivation Bankshot System Overview Design Options Evaluation 7
8 Bankshot Caching System for Emerging NVM No OS overhead on cache hits Cache hits serviced by user-space Write back caching Specialized hardware to recover from crash File System Awareness File extents and not disk blocks. Efficient write back Asynchronous Write back optimized for backing store Data Usage Tracking Hardware support for tracking cache usage 8
9 Bankshot System Stack Application file file Cache Library Cache Hit Userspace Kernel File System system reads/writes Cache Miss Cache Manager Device Driver Fig 4: Bankshot System stack Disk NVM 9
10 Bankshot NVM NVM Virtualized interface & permission check Provides Safe User space access Controller & LRU Unit Cache Specific logic Request Queues & DMA Efficient data path 10
11 Cache Manager Exposes a write back cache Service miss Queries file system for File extents File permissions File System Performs cache evictions Writes back dirty data Application Cache Library Cache Manager Disk NVM 11
12 Cache Library Transparently intercept FS calls POSIX compatibility Translate file offsets to cache locations Issue and complete hardware requests File System Application Cache Library Cache Manager Disk NVM 12
13 Cache Miss - Write Write (fd, 100) Application file file Cache Library Logical - map Miss File System Cache Manager Miss Physical - map Device Driver Disk NVM Write Data, Add Permission 13
14 Cache Hit Write (fd, 100) Application file file Cache Library Logical - map Hit File System Cache Manager Physical - map Device Driver Data Write Disk NVM 14
15 Overview Motivation System Overview Design Options Recovery Dirty Data Tracking Replacement Policy Evaluation 15
16 Cache Recovery Persist cache map for durability Software: Requires extra IO Hardware: Latency (us) Latency breakdown - 4KB cache miss HW stores map atomically 0 SW Meta data IO OS/FS SW-Metadata HW Meta data User Lookup/Insert Persist-Metadata 16
17 Dirty Data Tracking - Cache Organization Fully associative File A File B Divided into 4KB blocks 2048 Blocks = 1 Chunk 0 q*2048 n*2048 chunks map to file Allows Sharing Units of protection 2047 Chunk 0 Chunk q Fig 5: Cache organization Chunk n 17
18 Dirty Data Tracking Software Per chunk tracking Set on write to a block in chunk Hardware Per 4KB block tracking Set on application write Queried by cache manager Hybrid Combines hardware & software dirty Software Dirty Cache Manager Chunk 0 Chunk q Chunk n Hardware Dirty q*2048 n*2048 Chunk 0 Chunk q Chunk n 18
19 Dirty Data Tracking HW Dirty 8us to read dirty bit for a chunk Hybrid scheme IO to NVM only for dirty chunks Disk IO to write back takes several ms Latency (us) Latency breakdown to query chunk dirty bit HW Meta Data + SW Dirty Hardware Dirty Check HW Meta Data + HW Dirty SW 19
20 Replacement Policies FIFO Simple software only scheme Chunks evicted in order of allocation LRU Hardware tracks recency of access to chunks Cache manager queries HW for LRU chunk Improves hit ratio IO takes only 5us 20
21 Overview Motivation System Overview Design Options Evaluation 21
22 Bankshot Prototype BEE3 FPGA platform PCIe 1.1 x8, 2GB/s full duplex 64GB of emulated PCM Intel x86-64 Linux kernel Adrian M. Caulfield, Arup De, Joel Coburn, Todor I. Mollow, Rajesh K. Gupta, and Steven Swanson Moneta: A High- Performance Storage Array Architecture for Next-Generation, Non-volatile Memories. In Proceedings of the rd Annual IEEE/ACM International Symposium on Microarchitecture (MICRO '43). IEEE Computer Society, Washington, DC, USA, Adrian M. Caulfield, Todor I. Mollov, Louis Alex Eisner, Arup De, Joel Coburn, and Steven Swanson Providing safe, user space access to fast, solid state disks. In Proceedings of the seventeenth international conference on Architectural Support for Programming Languages and Operating Systems (ASPLOS XVII). ACM, New York, NY, USA,
23 Evaluation 4KB Cache hit latency Bankshot improves Write latency by 4x Read latency by 1.5x 23
24 Application Performance Speedup Application Speedup with 2GB cache Hash Btree FlashCache SW Dirty + FIFO Replacement SW Dirty +LRU replacement HW Dirty +LRU replacement Hybrid Dirty +LRU replacement 24
25 Conclusion Eliminate OS/FS interactions Reduces SW Overhead for hits to ~1us Intelligent hardware ability to track dirty bit Store mapping information durably Virtualized interface 25
26 Thank You 26
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