Scalable, High-Performance Software Defined Storage Solution
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- Pierce Cunningham
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2 Introduction With the ubiquity of cloud services and fast internet services today, customer expect higher and higher performance and have less tolerance for delay caused by latencies in access data. StorPool s Distributed Storage software on an Intel architecture-based platform, companies can deliver high speed, low latency data access while containing costs. Built with Intel Xeon Scalable Processors, Intel SSD Data Center family of storage Devices, Intel Integrated Dual 10Gb Ethernet, StorPool s Software Defined Storage (SDS) system can start at 450,000 IOPS and deliver millions of IOPS. 2
3 Scalable, High-Performance Software Defined Storage Solution Distributed, parallel architecture with a single resource of parallel, shared block storage Pools the attached local storage media to create a single resource of parallel, shared block storage Scales linearly with each added server or storage device up to multiple terabytes Re-engineered software stack optimized for fast and efficient distributed storage high-performance, low latency, and redundancy operates at near 100% efficiency, delivering all the performance available from the underlying drives and network Server node (Linux) StorPool ServerDaemon SSD Local drives Client node (Linux*) Any Linux-based virtualizationtechnology KVM Open VZ VirtualBox Docker/LXC Any database orapplication ext4 xfs ocfs2 block device block device block device StorPool Block Device driver (client) Network (xx10ge) Server node (Linux) StorPool ServerDaemon StorPool Cluster SSD Local drives Client communicates in parallel with all servers Server node (Linux) StorPool ServerDaemon SSD Local drives 3
4 Scalable, High-Performance Software Defined Storage Solution Works with many pieces of the data in parallel Delivers high performance, but also high reliability, and balances the load across storage nodes Performance increases with every added drive or server Broad and configurable storage essential portfolio Support various storage configuration with Intel SSD Data Center family of storage Devices and HDDs in market All SSD/NVME, Hybrid SSD/HDD and HDD only configurations based on performance or capacity requirement Intel SSD DC P4500/4600 series, S4500/4600 series and Enterprise HDDs provides a very high degree of flexibility in volume management Does not rely on device mirroring (pairing drives for redundancy) Every disk that is added to a StorPool cluster adds capacity and IOPS to the cluster, not just for new data but also for existing data 4
5 Feature Set Summary (1/2) Distributed, scale-out, shared-nothing cluster architecture : high performance, scalability, availability, reliability End-to-end data integrity : protection mechanisms prevent silent data corruption, phantom/partial/misplaced writes, common for systems handling large amounts of data Online configuration changes : Volumes are not brought down during reconfiguration. In-service software upgrades : the storage service continues operating while the cluster is being upgraded on a rolling basis. Snapshots and clones : instantaneous, copy-on-write (CoW) snapshots and clones Storage Quality of Service (QoS) per volume : fairness between volumes and user- configurable per-volume limit of IOPS and MB/s Thin provisioning, zeroes detection and thin reclaim (TRIM/DISCARD) : Space savings and reduction in required hardware 5
6 Feature Set Summary (2/2) Write-back cache (WBC) Converged Infrastructure - Storage+Compute : use the same servers for storage and applications / virtual machines. StorPool uses only 5-15% of CPU and RAM. Storage pools : each pool is a set of drives. There may be a single pool or multiple pools per cluster. (hard-drive pools for high capacity use-cases and hybrid SSD+HDD pools for high performance use-cases.) Data locality : each volume can be configured independently for high performance access from a particular node Data tiering : data on HDD pool or on SSD pool. Live migration between pools. Synchronous replication : replication level set per volume RESTful JSON API with API failover Self-healing & automatic data balancing Shared block devices : available on all the client nodes, simultaneously accessible and fully consistent. 6
7 Storage System Position Storage Design Performance and Capacity for Every Need All SSD/NVMe Configurations All HDD Configuration Lower cost & higher density Hybrid NVME/SSD Configurations Higher performance LOWER HIGHER LESS MORE Cost Delay NVM SOLUTIONS GROUP 7
8 Storage Solutions for All Needs All SSD, Hybrid NVME/SSD Highest Performance PCIe/SSD Products Hybrid NVME/HDD High Performance PCIe/HDD Products Hybrid SSD/HDD High Performance SSD/HDD Products All HDD Config Mainstream Products IOPS Latency Cost IO BW Capacity NOTE: Bigger dots are better 8
9 Storage Configuration Guide (per server/node) Use same size for Data Disk, Consider 3 Replica for usable space. Minimum storage Cluster is 3 servers. NODE OS* Storage Pool Option No. Configuration NVME for DATA SSD for DATA HDD for DATA SSD (240GB) Mirror 1U-S1 All SSD 6 1U 2.5 x 8 Storage Bay StorPool S60 Model SSD (240GB) Mirror 1U-S2 Hybrid NVME/SSD 2 4 SSD (240GB) Mirror 2U-S1 All SSD 24 2U 2.5 x 24 Storage Bay StorPool S240 Model SSD (240GB) Mirror 2U-S2 Hybrid NVME/SSD 8 16 SSD (240GB) Mirror 2U-H1 Hybrid NVME/HDD 2 4 2U 3.5 x 12 Storage Bay StorPool H120 Model SSD (240GB) Mirror 2U-H2 Hybrid SSD/HDD 4 8 SSD (240GB) Mirror 2U-H3 Hybrid NVME/SSD ** + All HDD SSD (240GB) Mirror 2U-H4 All HDD 12 * Two storage bays in rear side are used for OS mirroring in 2U chassis, but 1U chassis model need to use two storage bays in front side for OS mirroring. ** Dual storage pool configuration, 1 st pool is hybrid NVME/SSD and 2 nd pool is All HDD configuration. 9
10 DC P Layer 3D TLC NAND PCIe 3.0 x4 DC P4600 3D TLC NAND PCIe 3.0 x4 DC P4500 3D TLC NAND PCIe 3.0 x4 Intel SSD Data Center Family for PCIe (U.2) Family Density nm IF FF Sequential R/W (Up To) Random 4K R/W (Up to) Thickness 1 TB U / 620 MB/s 294k / 320k IOPS 15mm 2 TB U / 1140 MB/s 515k / 410k IOPS 15mm 4 TB U / 1860 MB/s 687k / 620k IOPS 15mm 1.6 TB U / 1390 MB/s 587k / 184k IOPS 15mm 2 TB U / 1650 MB/s 650k / 205k IOPS 15mm 3.2 TB U / 2020 MB/s 695k / 226k IOPs 15mm 1 TB 2850 / 1100 MB/s 465K / 70K IOPS 2 TB 3200 / 2000 MB/s 637K / 81.5 IOPS 2.5" 4 TB 3000 / 2900 MB/s 625.5K / 113.5K IOPS 8 TB 3200 / 3000 MB/s 620K / 139.5K IOPS 15mm 10
11 DC S4600 3D TLC NAND 6Gb/s DC S4500 3D TLC NAND 6Gb/s Intel SSD Data Center Family for Family Density nm IF FF Sequential R/W (Up To) Random 4K R/W (Up to) Thickness 240GB 500 / 190 MB/s 69K / 16K IOPS 480GB 500 / 330 MB/s 72K / 20K IOPS 960GB 500 / 490 MB/s 72k / 30k IOPS 2.5" 1.9TB 500 / 490 MB/s 72K / 33K IOPS 7mm 3.8TB 500 / 470 MB/s 72K / 33K IOPS 7.6TB 240GB 500 / 260 MB/s 72K / 38K IOPS 480GB 500 / 480 MB/s 72K / 60K IOPS 960GB 2.5" 500 / 490 MB/s 72K / 65K IOPS 1.9TB 500 / 480 MB/s 72K / 65 IOPS 3.8TB 500 / 470 MB/s 72K / 33K IOPS 7mm 11
12 All-SSD High IOPs Application Example Benefit RDBMS, Virtual Machine, IO Cache (Random IO) Optimize IO Response, Maximize IO Throughput Intel Xeon Processors Intel Xeon Processors R.Disk1 R.Disk0 Disk1 Disk0 Disk3 Disk2 Disk5 Disk4 Disk6 Disk7 Disk23 Disk22 Disk21 Disk20 Disk19 Disk18 Disk17 Disk16 Disk15 Disk14 Disk13 Disk12 Disk11 Disk10 Disk 9 Disk 8 Disk 7 Disk 6 Disk 5 Disk 4 Disk 3 Disk 2 Disk 1 Disk 0 All SSD Model S60 (1U-S1) Disk No. Usage Type Model Host Source All SSD Model S120 (2U-S1) Disk No. Usage Type Model Host Source Disk0,1 OS 2.5 U.2 SSD Disk2~7 Data 2.5 U.2 SSD DC S GB RMS3CC080 RAID module (RAID1 Mirror) DC S4500 RMS3CC080 RAID module (RAID0) Rear Disk0,1 OS 2.5 U.2 SSD Disk0~23 Data 2.5 U.2 SSD DC S GB On B d (RSTe) (RAID1 Mirror) DC S4500 RMS3CC080 RAID module -> RES3TV360 RAID Expander (RAID0)
13 Hybrid-NVME/SSD High IOPs Application Example Benefit RDBMS, Virtual Machine, IO Cache (Random IO) Optimize IO Response, Maximize IO Throughput Intel Xeon Processors Intel Xeon Processors R.Disk1 R.Disk0 Disk1 Disk0 Disk3 Disk2 Disk5 Disk4 Disk6 Disk7 Disk23 Disk22 Disk21 Disk20 Disk19 Disk18 Disk17 Disk16 Disk15 Disk14 Disk13 Disk12 Disk11 Disk10 Disk 9 Disk 8 Disk 7 Disk 6 Disk 5 Disk 4 Disk 3 Disk 2 Disk 1 Disk 0 Hybrid NVME/SSD Model S60 (1U-S2) Disk No. Usage Type Model Host Source Disk0,1 OS 2.5 U.2 SSD Disk2,3 Data 2.5 U.2 SSD NVME Disk4~7 Data 2.5 U.2 SSD DC S GB DC P4500 DC S4500 RMS3CC080 RAID module (RAID1 Mirror) PCIe Oculink (VROC Premium, RAID0) RMS3CC080 RAID module (RAID0) Hybrid NVME/SSD Model S120 (2U-S2) Disk No. Usage Type Model Host Source Rear Disk0,1 OS 2.5 U.2 SSD Disk0~7 Data 2.5 U.2 SSD NVME Disk8~23 Data 2.5 U.2 SSD DC S GB DC P4500 DC S4500 On B d (RSTe, RAID1 Mirror) 8-port PCIe x8 Switch AIC (VROC Premium, RAID0) RMS3AC160 RAID module (RAID0)
14 Hybrid-NVME/HDD and Hybrid-SSD/HDD Reasonable IOPs, Variable Option Select Application Example DBMS, IO Cache, Container, KVM/LXC Benefit Good Price/Performance Intel Xeon Processors R.Disk1 R.Disk0 Intel Xeon Processors R.Disk1 R.Disk0 Disk2 Disk1 Disk0 Disk5 Disk4 Disk3 Disk8 Disk7 Disk6 Disk11 Disk10 Disk 9 Disk2 Disk1 Disk0 Disk5 Disk4 Disk3 Disk8 Disk7 Disk6 Disk11 Disk10 Disk9 Hybrid NVME/HDD Model H120 (2U-H1) Disk No. Usage Type Model Host Source Rear Disk0,1 OS 2.5 U.2 SSD Disk0~3 Data 3.5 Entpr HDD Disk10,11 Data 2.5 U.2 SSD NVME DC S GB DC P4500 On B d (RSTe, RAID1 Mirror) RMS3CC080 RAID module (RAID0) PCIe Oculink (VROC Premium, RAID0) Hybrid SSD/HDD Model H120 (2U-H2) Disk No. Usage Type Model Host Source Rear Disk0,1 OS 2.5 U.2 SSD Disk0~7 Data 3.5 Entpr HDD Disk8~11 Data 2.5 U.2 SSD DC S GB DC S4500 On B d (RSTe, RAID1 Mirror) RMS3AC160 RAID module (RAID0) RMS3AC160 RAID module (RAID0)
15 All-HDD Target Market Application Example Benefit Maximize Throughput, Sequential IO Backup or Archive Low cost Intel Xeon Processors R.Disk1 R.Disk0 Disk2 Disk1 Disk0 Disk5 Disk4 Disk3 Disk8 Disk7 Disk6 Disk11 Disk10 Disk9 All HDD Model H120 (2U-H4) Disk No. Usage Type Model Host Source Rear Disk0,1 OS 2.5 U.2 SSD Disk0~11 Data 3.5 Entpr HDD DC S GB On B d (RSTe, RAID1 Mirror) RMS3AC160 RAID module (RAID0)
16 Dual Pool Hybrid-NVME/SSD and All-HDD Reasonable IOPs, Variable Option Select Application Example Benefit RDBMS, Virtual Machine, IO Cache (Random IO) + Backup or Archive Optimize IO Response, Maximize IO Throughput + Low cost Intel Xeon Processors R.Disk1 R.Disk0 Disk2 Disk1 Disk0 Disk5 Disk4 Disk3 Disk8 Disk7 Disk6 Disk11 Disk10 Disk 9 2U-H3 : Dual Pool (Hybrid NVME/SSD + All HDD) - Model H120 Disk No. Usage Type Model Host Source Rear Disk0,1 OS 2.5 U.2 SSD Disk0~5 Data 3.5 Entpr HDD Disk6~9 Data 2.5 U.2 SSD Disk10,11 Data 2.5 U.2 SSD NVME DC S GB DC S4500 DC P4500 On B d (RSTe, RAID1 Mirror) RMS3AC160 RAID module (RAID0) RMS3AC160 RAID module (RAID0) PCIe Oculink (VROC Premium, RAID0) 16
17 Performance Result Mid Range Storage (Full SSD) SSD 30 ~ 50 EA (Comp. Enterprise storage) StorPool (Single NVME) 4 Nodes Purley Model Each Nodes 2 NVME StorPool (Full SSD) 3 Nodes Xeon E3 Each Nodes 4 SSD StorPool (Full NVME) 3 Nodes Xeon W Ghz Each Nodes 4 NVME Max IOPs 400K ~ 500K Max IOPs (Total NVME 8) 300K ~ 400K Max IOPs (Total SSD 12) 400K ~ 500K Max IOPS (Total NVME 12) ~ 1M Throughput Read 3~4GB/sec Write 2~3GB/sec Throughput Read 6~7GB/sec Write 2~2.5GB/sec Throughput Read 3~4GB/sec Write 2~2.5GB/sec Throughput Read 7GB/sec Write 2GB/sec Cost 200~300K USD Cost 40K~55K USD* Cost 40~50K USD Cost 80~100K USD Service Storage Service Only Service Storage Service + KVM Service Service Storage Service Only Service High IOPs Multi Purpose Network FC Network Ethernet 10G Network Ethernet 10G Network Infiniband 56G * Hybrid NVME+ HDD configuration of H120, not included 10G switch price. 17
18 Competitors : Storage Hardware Traditional SAN All-Flash or Hybrid array Storpool Dell/EMC NetApp IBM HPE, etc. (-) EXPEN$IVE (-) hard to scale (-) inflexible (-) vendor lock-in (-) complex (-) limited in performance (-) single point of failure Solidfire Nimble Storage Pure Storage Tintri, etc. (-) expensive (-) limited scalability (-) storage only device (-) vendor lock-in (-) single point of failure Distribute Storage Software (SDS2.0) (+) affordable, pay-as-you-go (+) linear scale-out (+) storage & Compute (HCI) (+) no vendor lock-in (+) simple to setup & run (+) performance: starts at 500,000 IOPS and 0.2 ms! (+) reliable: fully distributed, end-to-end data integrity 18
19 Competitors : Storage Software Not all storage software is created equal: looking similar, totally different capabilities Nexenta, ZFS, Ceph, etc. (SDS 1.0) StorPool (SDS 2.0) (-) limited performance and/or (-) not-scale-out and/or (-) resource hungry (-) rigid, inflexible (+) all-flash speeds (+) scale-out (+) extremely light-weight (+) unmatched flexibility 19
20 Competitors : Feature Nutanix IBM Cleversafe **1) **2) THIS IS A HAPYER-CONVERGED APPLIANCE. NOT SIMILAR TO OTHER SOFTWARE-DEFINED SOLUTIONS (SDS). THIS IS AN OBJECT STORE SYSTEN, NOT BLOCK. IT IS NOT COMPAREBALE IN A NY WAY. Other solutions do not offer end-to-end data integrity (from the VM level through OS kernel, networking, to the storage and back). Other systems have partial data integrity only. I.e. for big deployments they might eventually corrupt data. StorPool has the most extensive data integrity (end-to-end) on the market today. StorPool SDS can run on the compute servers or on stand-alone servers. It is very flexible. For Example Nutanix is only hyper-converged. Cpeh does hyper-converged very, very poorly, as it takes too much CPU and RAM. 20
21 Market & Customers Target market: Public or Private clouds - service providers, IT companies & Enterprises. Use cases: workloads requiring block device VM disks, databases, VDI, etc. Most common use case is primary storage for VMs. 21
22 StorPool 4 Nodes Configuration for PoC* Intel S2600 WFT Onboard x 10 Channel Onboard NVME x 2 Channel Onboard 10G NIC x 2 Port Uplink sda NVM E sdb sdc Bay Rack Server Memory 64GB sda sdb Network Link eno1,eno2 10G Switch Storage Installed P TB NVME, P4500 4TB NVME 10G Switch NVM E sda sdc sdb Installed 1TB HDD for OS, /dev/sda Installed 1TB HDD for DATA, /dev/sdb ~ sdc NVM E sdc Netgear 10G Managed Switch sda sdb * See the performance result of PoC test in the next slide NVM E sdc 22
23 PoC Performance Result (4 Nodes) IOPs NVME Pool, 4 Initiator (10G Dual Port) NVME Pool, 4 Initiator (10G Single Port) NMME Pool Single Initiator 2st NMME Pool Single Initiator 1st HDD Pool Single Initiator Hybrid Pool (NVME+HDD) Single Initiator Rand-w-4k-64 Rand-rw-4k-64 Rand-r-4k-64 Throughput (MB/sec) Latency Single Initiator NVME Pool 2st NVME Pool 1st HDD Pool Hybrid Pool (NVME + HDD) Lat-w-4k-1 Lat-r-4k-1 Performance Competition NVME Pool, 4 Initiator (10G Dual Port) NVME Pool, 4 Initiator (10G Single Port) NMME Pool Single Initiator 2st NMME Pool Single Initiator 1st HDD Pool Single Initiator Hybrid Pool (NVME+HDD) Single Initiator StorPool 3 Nodes (NVME x 4EA Drvice) per Node StorPool 3 Nodes (SSD x 4EA Drvice) per Node StorPool 4 Nodes (NVME x 2EA Drive) per Node EMC ScaleIO 12 Nodes (SSD x 10EA Drive) per Node NetApp HCI 3 Nodes (SSD x 6EA Drive) per Node Seq-w-1M-64 Seq-r-1M IOPS Max IOPS Min 23
24 Storage Use Cases: Scalable Hot and Warm Tier Data Center Storage Node A Node B Node C Node C Resilience across the cluster in the software layer Scale-Out Storage for cloud / HCI Faster and more core processor, faster memory and faster PCIe* connectivity High-performance, low latency software stack optimized for fast and efficient distributed storage Integrated 10G Ethernet with iwarp RDMA for scale-out architectures Flexible storage media SAS// NVMe Performant, trusted, highly available storage *Other names and brands may be claimed as the property of others 24
25 Cloud Use Cases: Cloud infrastructure at scale & HCI OpenStack / CloudStack / OnApp / OpenNebula Hypervisor Hypervisor Hypervisor StorPool Compute Network Storage Foundation on Intel Architecture Server platform provides provisioning tools for ease of deployment and telemetry for intelligent orchestration StorPool s storage software with high serviceability provides flexibility in storage, cache and capacity tiering and varying levels of performance per VM Support for Intel Xeon Scalable processor, native RDMA, and NVMe* SSDs *Other names and brands may be claimed as the property of others 25
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27 Architecture cluster of servers Distributed sharednothing architecture All functions are performed by all the servers on an equal peer basis Consists of a storage server and a storage client Each physical server (host, node) can be a storage server, a storage client, or both 27
28 Redundancy on different server Flexible Volume Management Multiple copies (replicas) of the data written synchronously across the cluster 3 copies as a standard and 2 copies for less critical data, user selectable Compared to RAID Copies on different servers (not copies on one server), Will not lose the data sits on failed server. Rebuilding a failed drive/node is done from many drives (and not from one particular drive as in RAID), Significantly shorter rebuild times and will not impact the overall system performance protects data and guarantees data integrity by a 64-bit checksum and a version number for each sector maintained bystorpool Does not rely on device mirroring (pairing drives for redundancy) Every added disk adds capacity to the cluster, not just for new data but also for existing data Drives can be added or taken away with no impact to the storage service StorPool simply creates a single pool of storage that utilizes the full capacity and performance of a set of commodity drives To storage clients, volumes appear as block devices under /dev/storpool/* Behave identically to the dedicated physical alternatives. Data on volumes can be read and written by all clients simultaneously Consistency is guaranteed through a synchronous replication protocol. 28
29 Co-existence with hypervisor Can run converged/hyper converged, thanks to very low CPU and Memory usage (5~10%) StorPool customers can run both storage and compute loads on the same servers to achieve higher levels of utilization Virtual machines, applications, databases or any other compute load can run on the same server as StorPool No dedicated hardware for storage, and growing an IaaS cloud solution is achieved by simply adding more servers to the cluster Drive agnostic Can mix drives of various types, speed or size in a StorPool cluster Can specify which drives should be used for which copies (e.g. the 1 st copy on SSDs and the 2 nd and 3 rd copies on hard disks) Can specify which exact drives a specific volume should be stored on (Data Placement Policy) can be used to ensure high availability and performance, including data locality, e.g. one copy stored on a particular server for faster local access. 29
30 Using StorPool StorPool can be thought of as a SAN replacement or a virtual SAN Accessed with the StorPool driver, installed on the client (initiator) machine Supports Linux with KVM,Xen, LXC,Docker and any other technology compatible with the Linux storage stack Attached via iscsi to hosts running other hypervisors/os (Vmware, MS Windows / Hyper-V) StorPool is integrated with OpenStack, OpenNebula, OnApp, CloudStack, lipvirt and Proxmox, as well as custom cloud management solutions. User applications are installed on top of the Linux block device provided by the StorPool storage solution Compatible with any system designed to work with a blockdevice Can be used with shared-disk file systems (like GFS2) or Clustered LVM Possible to format volumes with standard file systems such as ext4 or XFS In a virtualized environment, virtual volumes are created from the StorPool device and assigned to a single virtual machine directly mapped upon it Capability to control each VMsstorage requirements independently Can support different placement (on SSDs, on HDDs) configuration, replication (2 copies, 3 copies) and different QoS (IOPS, MB/s) configuration Enables to perform VMsnapshots independently for each VM 30
31 Typical Use Cases Public / Private Clouds Designed to combine storage and compute on the same node to deliver cloud infrastructure while dramatically reducing the Total Cost of Ownership Can be used on the same servers as virtual machines, in conjunction with the hypervisor (e.g. KVM) Can be used without a hypervisor, in the so called "bare-metal" cloud architecture to provide resilience and high availability for a stand-alone application By keeping all the data in the StorPool cluster, so if the application server dies it is easy to spin it up on another machine. Virtual Desktops (VDI) Delivering incredible IOPS performance, fine-grained volume control and thin provisioning makes StorPool an ideal storage solution for VDI Achieved by clustered and non-raid approach Dev Ops Fine-grained volume control makes it easy and quick for new instances to be assigned storage from the pool. No specialist skills are required to manage volumes. Easily create (resize and delete) volumes and assign them to virtual machines even a junior System Administrator 31
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