1. HUAWEI Tecal ES3000 High-Performance PCIe SSD Card Main Slides

2. Contents PCIe SSD Cards Will Be the Mainstream SSD Products
ES3000 Technical Specifications and Highlights
ES3000 Application Scenarios and Optimization Results
Comparison and Analysis

3. Storage I/O bottleneck
Prominent I/O Bottleneck Under Growing Performance Gap Between CPUs and Disks
Applications
Storage I/O bottleneck
2012
2010 
1993
1990
1987
1984
500
1,000
1,500
2,000
2,500
3,000
3,500
4,000
Processor performance (MHz)
Storage IOPS
About 570 times
About 20 times
5,400 r/min
15,000 r/min
3 TB
73 GB
Capacity
Hard disk rotational speed
41 times
2.8 times
Client
System end
Storage
Server
Expansion
Experience
High I/O performance applications
Video
Search
High-performance database
CDN, Cache...
I/O imbalance

4. PCIe SSD Card Simplifies Storage Paths to Resolve the Storage I/O Bottleneck
PCIe x8
1. PCIe SSD storage system
RAID controller card
SAS hard disk
CPU
Intel Xeon
CH.0
CH.1
CH.2
CH.3
Memory
FC HBA
FC disk array
2. Local hard disk storage system
3. FC disk array storage system

5. Excellent Read/Write IOPS and Bandwidth Performance
PCIe SSD card
Local Hard Disk Storage System
FC Disk Array Storage System
PCIe SSD Storage System
Maximum capacity of a hard disk
600 GB (SAS HDD)
400 GB (SSD)
7.2 TB (12 SAS HDDs)
2.4 TB
100% random read IOPS of a hard disk
0.6K KB)
26K KB)
7K KB)
600K KB)
Maximum bandwidth of a hard disk
150 MB/s
370 MB/s
800 MB/s
3000 MB/s
Average response latency
10–100 ms
0.1–1 ms
1–10 ms
10–100 µs
IOPS performance per GB
Low
Average
High

6. PCIe SSD Cards Will Be the Mainstream SSD Products
Data source: Gartner

7. Seven-Year Experience in PCIe SSD Card Development
Customers
2005
2008
2009
2011
2012
Start
First generation
128 GB/256 GB
SLC
Second generation
50/34 nm
512 GB/1 TB
MLC
Third generation
ES2000, 34/25 nm
640 GB, MLC
Fourth generation
ES3000, 25 nm
0.8/1.2/2.4 TB
2013
Fifth generation
20 nm
planning
Products

8. Tecal ES3000 Specification
Items
Specifications
Capacity
800 GB
1.2 TB
2.4 TB
Flash granule
MLC
Form factor
FH-HL
Bus interface
PCIe 2.0 x8
Maximum read bandwidth
2.2 GB/s
3.2 GB/s
Read IOPS (Stable value, 4 KB, 100% random)
570,000
760,000
Read IOPS (Maximum value, 4 KB, 100% random)
600,000
770,000
Read latency
49 µs
Maximum write bandwidth
1.2 GB/s
1.8 GB/s
2.8 GB/s
120,000
180,000
240,000
330,000
480,000
630,000
Write latency
8 µs
Mixed IOPS(4KB, R/W: 7/3)
260K (R/W: 180K/80K)
400K (R/W: 280K/120K)
430K (R/W: 300K/130K)
Power consumption
20 W to 35 W
25 W to 50 W
25 W to 60 W
Operating temperature
0℃ to 55℃
Air flow
300 LFM
Weight
300 g
350 g
Operating systems supported
MS Windows Server 2003 SP2/2008 R2 64-bit
RHEL 5.0/5.1/5.2/5.3/5.4/5.5/5.6/5.7/ bit
RHEL 6.0/6.1/6.2/ bit
SLES 11 SP1/SP2 64-bit
CentOS 5/6
Ubuntu 10/11
VMware ESX 4.1/ ESXi 5.0

9. High Performance, High Reliability, Easy Management, Energy Saving
Large capacity: 800 GB, 1.2 TB, or 2.4 TB
High IOPS: 4 KB block 100% random, the maximum read IOPS is 770K, the stable value is 760K; and the maximum write IOPS is 630K, the stable value is 240K
High bandwidth: PCIe2.0 x8 port with a bandwidth of up to 3200 MB/s
Low access latency: 8 µs
Communicates with CPUs directly by using PCIe ports.
Uses dynamic/static wear leveling algorithm
Reduces host resource consumption with embedded FTL, RAID 5, ECC, and data checking engines.
RAID 5, ECC, and data checking
Redundancy and sharing among channels (supports one-channel failures)
Efficient recovery of idle flash data block by using TRIM
Intelligent classification of hot and cold data
Supercapacitor for power-off protection
Continuous high-speed read/write performance
Optimized embedded algorithm engine
Multiple
data protection mechanisms
ES3000
Low power consumption and energy saving
Flexible configuration and management
Supports mainstream OSs and virtualization systems
Provides tools for querying and managing comprehensive information
Offers SNMP query for unified network management
Provides best combination of capacity and performance by setting available capacity flexibly
Minimizes power consumption with an electrical storage chip
Prolongs the service life and brings no noise with a non-mechanical structure
Reduces electricity consumption and refrigeration costs for data-intensive server groups

10. Reliability Triangle for Comprehensive and Real-Time Customer Data Protection
Uses dynamic/static wear leveling algorithms.
Ensures successful data write operation with the powerful ECC capability of 30 bits/1 KB.
Uses the TRIM technology to efficiently reclaim idle flash data blocks and ensure optimal performance.
Reliability triangle
Disaster
recovery
Real-time protection
Checks data periodically to prevent data errors and avoid error accumulation.
Implements channel redundancy and resource sharing to ensure normal operation even if multiple chips are faulty.
Uses data classification technologies to reduce data write amplification and improve the flash erase service life.
Uses the built-in dynamic RAID 5 to avoid data loss during single-flash failures.
Uses a supercapacitor for power-down protection.
Disaster prevention

11. Enhancing Customer Business Values
Shortens storage latency and resolves the I/O bottleneck
Improves application performance and enhances customer experience
Processes the most valuable data
Accelerates applications
Stores frequently-used and most- valuable data on the ES3000 to meet requirements of at least 80% IOPS applications, maximizing business values.
Significantly shortens response latency and improves application operating efficiency, ensuring long-term and efficient system operating.
Optimizes the IT infrastructure
Decreases the quantity of servers and storage devices and reduces power consumption and cooling costs for data- intensive server groups.

12. Various Application Scenarios and Service Features
Features: Frequent read operations on small files of 1 KB to 100 KB, requiring high storage IOPS.
Features: Large files (> 10 MB) with infrequent upgrades, requiring more read operations than write operations and high bandwidth for storage.
Web Searching/Authentication (login) Service
Quicker result return
Features: High concurrent processing performance for massive data in a short period, optimizing customers' decision making.
VOD/Downloading
Frequent VOD requests
Features: High concurrency;
Large volume of unstructured data;
Small and discrete target data blocks;
The frequently accessed data (hot data) can be stored on the SSD card for acceleration.
HUAWEI Tecal ES3000 PCIe SSD Card
High-performance computing
Faster calculations
Features: High concurrency;
Large volume of structured data;
Small and discrete target data blocks;
Low IOPS may affect processing of other data, which results in unsatisfactory user experience.
Big Data/Cache/Network Acceleration
Quicker access to hot data
DB Application
Faster queries
/ERP OA
Higher working efficiency
Virtualization
Concurrent I/O bursts
Features: High concurrency, high IOPS, low latency, and high requirements for random read/write performances on the storage media.
Features: High IOPS for highly concurrent I/O requests during the peak hours of VM logins.

13. Improving SQL Server 2012 Query Performance by at Least Four Times
SAS mechanical HDD SATA SSD ES3000
SAS mechanical HDD SATASSD ES3000
Fast Track for SQL Server 2012
Server Configurations
Maximum User Data Capacity (TB)
Rated User Data Capacity (TB)
Average Query Block Size (KB)
Performance Query by Second
I/O Performance Query (MB/s)
Average Query Time (ms)
SAS mechanical HDD
RH2288 V2: 2 x E5-2690, 16 x 8 GB, 12 x 600 GB SAS HDD 8
5.5
436
1704
743 37
SATA SSD
RH2288 V2: 2 x E5-2690, 16 x 8 GB, 12 x 400 GB SATA SSD 7 5
438
5477
2399
0.159
ES3000
RH2288 V2: 2 x E5-2690, 16 x 8 GB, 2 x 2.4 TB ES3000 10
427
7520
3211
0.01

14. Improving the Performance of the UFIDA U8 ERP Appliance by More Than 30%
Average efficiency improved by 20%
Average efficiency improved by 30%
Dimension extraction
Model extraction
Data warehouse processing
Current inventory report
Subledger table
Purchase order implementation statistics
Reference inventory
Receivable/payable – service balance table
Purchase delivery list
Sales statistics
Receivable/payable – service subledger
Overall efficiency improved by 37%.
Purchase management
Portal
General ledger (end)
HR (end)
Cost (end)
Cost
BOM (end)
Inventory accounting
Performance management
Control
Login
Production (end)
MRP
Fixed asset
Inventory accounting (end)
Insurance and benefits
Cashier management
Service management
Contract management

15. Excellent Platform for Exchange Email Servers
Excellent platform performance
Supports 500 to users. The number of users can be smoothly adjusted. In the Jetstress test, Huawei appliance has much higher performance than similar competitors' Exchange appliance servers.
IOPS

16. Comparison with other vendors’
Model
Fusion-IO ioDrive2
ioDrive2 Duo
STEC s1120
OCZ Z-Drive CM84/RM84
Virident FlashMAX II
Intel SSD 910
Huawei ES3000
Flash granule
MLC
Capacity
785 GB
1.2 TB
3.0 TB
2.4 TB
480 GB/980 GB
300 GB, 600 GB, 1.2 TB
550 GB, 1100 GB
1100 GB, 2200 GB
400 GB
800 GB
Form factor
HH-HL
FH-HL
　HH-HL　
Bus interface
Gen 2 x4
Gen 2 x8
Read bandwidth
1.5 GB/s (1 MB)
3.0 GB/s (1 MB)
1.4 GB/s
2 GB/s
1.6 GB/s (64 KB)
2.7 GB/s(64 KB)
1 GB/s
2.2 GB/s
3.2 GB/s
Read IOPS
270,000 (512B)
215,000 (4 KB)
275,000 (512B)
245,000 (4 KB)
143,000 (512B)
136,000 (4 KB)
540,000 (512 B)
480,000 (4 KB)
144K -
578,000 (512B)
175,000 (4KB)
1130,000 (512B)
350,000 (4KB)
90,000 (4KB)
180,000 (4KB)
570,000 (4KB, stable value)
600,000 (4 KB, maximum value)
760,000 (4 KB, stable value)
770,000(4 KB, maximum value)
Read latency
68 us
<50 us
76 us(4 KB)
78us(4KB)
65 us
49 us
Write bandwidth
1.1 GB/s(1 MB)
1.3 GB/s(1 MB)
2.5 GB/s(1 MB)
0.6 GB/s
540 MB/s(64 KB)
1 GB/s(64 KB)
0.75 GB/s
1.2 GB/s
1.8 GB/s
2.8 GB/s
Write IOPS
800,000(512B)
230,000(4 KB)
800,000(512 B)
250,000(4 KB)
535,000(512B)
242,000(4 KB)
1100,000(512B)
490,000(4 KB)
163,000
250,000(4kB) 160,000(8kB)
38,000(4 KB)
75,000(4 KB)
120,000 (4 KB, stable value)
330,000(4 KB, maximum value)
180,000 (4 KB, stable value)
480,000 (4 KB, maximum value)
240,000 (4 KB, stable value)
630,000 (4 KB, maximum value)
Write latency
15 us
< 50 us
16 us(512 B)
18 us(512 B)
8 us
Mixed IOPS(W:R = 3:7)
55,000(8 KB)
105,000(4 KB)
217,000(4 KB)
260,000 (R/W: 180,000/80,000)
400,000 (R/W: 280,000/120,000)
430,000 (R/W: 300,000/130,000)
Power consumption
25 W
55 W
16 W
8 W to 30 W
12 W to 38 W
20 W to 35 W
25 W to 50 W
25 W to 60 W
Operating temperature
0℃ to 55℃
0℃ to 70℃
0℃ to 45℃
Air flow (LFM)
300
100
200
For more competitiveness analysis:

17. FAQs
Q1: What are the advantages of PCIe SSD cards compared with SSD cards?
A: Compared with SSD cards, PCIe SSD cards offers higher bandwidth, better I/O performance, and lower latency.
Q2: Why does an ES3000 SSD card have a stable value and a maximum value for its IOPS performance?
A: The competitors generally claim that their SSD products can offer the best IOPS performance. However, according to test results, after the SSD cards storage space is fully occupied, the IOPS performance will deteriorate to some extent and stay at a stable value after a long time test. Therefore, it is recommended that customers add a long-term test item (requires more than 2 hours) to the test. In this way, the customer can see that the performance value of the competitors' SSD cards is less than the claimed one. The stable value of the ES3000 SSD card is the data obtained after a long time test.
Q5: Why do Fusion-io SSD cards outperform ES3000 SSD cards in terms of performance at a 512 B data block?
A: This is due to the algorithm architecture used by the ES3000 SSD card. The ES3000 SSD cards are developed in the unit of 4 KB data block based on the following considerations:
1. According to JEDEC JESD 219 SSD Testing Standard, application scenarios where SSD cards are used for data blocks of more than 4 KB account for 90% of the total, and application scenarios where SSD cards are used for data block of less than 4 KB only account for 10% of the total. The SSD cards are seldom used for 512 data blocks (such as database logs).
2. If SSD cards are designed in the unit of 512 B data block, more resources are occupied. When Fusion-io SSD cards are used for 512 B data blocks, more server CPU and memory resources are occupied. The system performance is compromised.
3. Currently, the page size of a NAND flash chip is 8 KB. Flash vendors indicate that the page size will continue to increase in the future. For this reason, if SSD cards are designed in the unit of 512 B data block, read/write amplification coefficient is increased, affecting I/O performance.