PCIe SSD在数据中心的应用分析

1、PCIe SSD 在数据中心的应用分析技术创新，变革未来性能策略能效QoS 与服务 质量弹性 TCO软件定义的数据中心多核虚拟化异架构计算计算RDMAFabric网络网络数据保护带宽Flash存储PCIE SSD 市场份额正在快速增加2015PBlaze4 Released1st NVMe PCIe SSDNVMe 1.1bU.2, Hot-pluggableSuperior QoSAs the price point of PCIe SSDs decline, and as more SSD op9mized so;ware, servers, and storage systems are

2、 brought to market, it expects PCIe interface SSDs will become a higher proporIon of enterprise SSD revenue over the 20142019 (from IDC:2015)To 2018, the propor9on of PCIe SSD in datacenter will reach37% (from IDC:2014)PBlaze34.8TB MLCPBlaze2800GB MLCDevice BasedPBlaze1100GB SLCDevice-basedDevice Ba

3、sedMemblaze PCIe SSD 产品历史201220102013容量800GB、1.2TB、1.6TB、2.4TB、3.2TB顺序读（128KB）UP to 2800MB/s顺序写（128KB）Up to 2200MB/s随机读（4KB）IOPSUp to 740K随机写（4KB）IOPSUp to 200K延时20 s总线接口PCIe 3.0 4功耗 25WPCIe SSD在数据中心中大规模应用的四个挑战运维成本高PCIe SSD使用私有驱动仍然存在PCIe 闪存卡缺乏热插拔支持PCIe SSD的强悍性能对系统提 出新要求CPU与网络成为新的瓶颈IO协议栈需要重新优化缺乏高效的数据

4、保护方案容量增加的速度超过了单机应 用的需求Can we fix them?降低PCIe SSD的运营成本的方法采用NVMe标准降低超大规模部署验证交付时间支持原生驱动，易维护，降低维护成本Linux RHEL 6.5 and AboveUbuntu 13.04 and AboveWindows 2012 R2多核多队列性能提升越来越多的应用基于 NVMe进行优化， 性能提升2.5寸PCIe SSD可以实现热插拔降低维护成本单台服务器部署更多SSDOS Native SupportSFF8639 HotPluggable* 此数据以1000 片计算验证交付时间奇虎360应用 PBlaze4大幅

5、降低运营成本67%PBlaze3 PBlaze4优化操作系统，发挥PCIe SSD优势多核心优化与中断绑定PCIe and NUMAMulti-queue for the Block LayerPolling Mode DriveIO协议栈优化，欢迎联系memblaze技术支持部门supportPCIe SSD 单机数据保护方案Software Defined RAID is the FutureTrends硬件RAID不再适合PCIe SSD环境操作系统所含的数据保护技术， 没有为高性能设备优化Memblaze的FlashRAID方案01000200030000500001000002000

6、00250000300000IOPS(K/s)150000time(ms)Random Performance (4XPBlaze4)ReadWrite200001500010000500003SSD7SSD8SSDBandWidth (MB/S)4SSD5SSD6SSDDevice NumberSequential Performance(64KB)ReadWriteFlashRAID Performance2 Sockets, 32 Cores(Intel(R) Xeon(R) CPU E5-2695 v3 2.30GHz)Pblaze IV 1.6T(4disks)RAID5CentOS

7、7.0Test Tool: fioDisk performanceIOPSBandWidth(GB/s)RandRead(4KB)742.783K-RandWrite(4KB)150.843K-SeqRead(64KB)-2.72SeqWrite(64KB)-1.14Test ConfigurationSupermicro PlatformIOPSBandWidthLatency(us)4k_rand_write(16_depth)416.765K1226.404k_rand_write(8_depth)325.256K785.308k_rand_write(16_depth)332.420K

8、1538.228k_rand_write(8_depth)323.708K789.104k_rand_read(16_depth)1913.1K266.004k_rand_read(8_depth)1295.4K196.098k_rand_read(16_depth)1338.5K380.828k_rand_read(8_depth)983.595K258.554k_rand_write(1_depth)241.394k_rand_read(1_depth)197.0664k_seq_write(64_depth)3.4GB/s64k_seq_read(64_depth)11GB/s某海外客户

9、实测 FlashRAID 性能Test ConfigurationPlatform2 Sockets, 32 Cores(Intel(R) Xeon(R) CPU E5-2640 v3 2.60GHz)Pblaze IV 1.6T(4disks)RAID5CentOS7.1Test Tool: fioDisk performanceIOPSBandWidth(GB/s)RandRead(4KB)742.783K-RandWrite(4KB)240.843K-SeqRead(64KB)-2.72SeqWrite(64KB)-1.34RandMixRW (r:w=1:2)(4KB)105.239K(r)/204.337K(w)SSD的容量增长速度会超越单机的需求SSD的晶体密度的增加速度超过 了DRAM与CPU单机需求会受限于木桶的最短板-CPU的增长速度预计在2016-2017年，10-20T容量的SSD成为主流，超过了大 部分单机的需求。资源池化是发挥SSD密度优势的必由之路Rack机架级资源池化Compute LayerStorage Layer NVMeFlash PoolNetwork LayerEthernet SwitchC