Transcript PowerPoint - Huawei Enterprise

Huawei HPC Solution for
the Education Industry
Promotional Theme Slides
Contents
1
Trends and Challenges
2
Huawei Solution
3
Success Stories
1
HPC Market Development Trend
HPC market potential
Source: IDC
Source: IDC
The HPC market has been stably growing since 2009. It is estimated that the market potential will reach US$23.6 billion in 2014
and US$30.2 billion in 2017, with a compound annual growth rate (CAGR) of 8.3% over the next five years.
Global HPC server requirements are primarily stemmed from government supercomputing, education and scientific research
(over 40%), biological sciences, and CAE emulation.
2
HPC Technology Development Trend
Data source: TOP500
Others
9
MPP
14%
AMD
X86
8%
Others
3%
6%
CPU+
GPGPU
12%
Linux
Cluster
86%
Intel
x86
86%
CPU
System architecture
97%
OS
CPU
Others
16%
GE
40%
IB
44%
88%
GUGPU
Interconnect network
Cluster, x86, Linux, and high-speed networks are dominant technology development trends, and the use of GPGPUs for
acceleration is a new development trend.
3
HPC Applications
Satellite mapping
Life sciences
Meteorological science
Basic science research
4
Energy exploration
Automotive electronics
Aerospace
Molecular dynamics
HPC Resource Requirements of Typical Applications
Computational
chemistry
Memory-intensive
Computational
physics
Memory
capacity
Scalability
Material science
Drug design
Biological
information
HPC resource requirements
are classified into the
following types by hardware:
•
•
•
•
CPU
Memory
Storage
Interconnect
Computing
-intensive
I/Ointensive
Molecular
dynamics
Network
Memory
bandwidth
Environmental
sciences
Fluid mechanics
Storage
Network-intensive
Meeting diverse computing requirements and building a high-scalability
HPC system
IT resources consumed vary depending on HPC applications. Configure resources for an HPC system based on its application scenario:
• Computing-intensive applications require high-frequency CPUs.
• Memory-intensive applications require high-bandwidth, large-capacity memory.
• Network-intensive applications require IB networks.
• I/O-intensive applications require high-bandwidth, large-capacity parallel storage systems.
5
Challenges Facing HPC Development
The snowballing of computing data
volume for applications requires everincreasingly high performance.
How to reduce the power
consumption of high-performance
computers has become a top-priority
issue.
"Our rendering services are growing
rapidly, so we require more and more
computing resources."
— Executive from an American media
production company
The electricity consumption of top
computers equals the daily electricity
consumption of a medium city. Only 167 of
the top 500 computers are listed on Green
Top 500.
Challenges
Management is difficult. An intuitive
management and process definition tool
is required.
Deployment and expansion are
complex. It is difficult to reuse the
existing infrastructure.
"The previous supercomputing platform
was constructed in several phases.
System deployment and capacity
expansion are complex and timeconsuming."
— Director of the supercomputing
center in a European university
"Gene sequencing has complex
procedures with many branches. A new
computing task is time-consuming."
— Research staff from a Chinese
biological gene company
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Contents
1
Trends and Challenges
2
Huawei Solution
3
Success Stories
7
Huawei HPC Strategy
Huawei is dedicated to providing high performance and efficiency, easy-to-manage, high- scalability all-in-one HPC solutions.
Application
integration
Service
scheduling
Converged
management
All-in-rack
Unified
management
Converged service management platform
All-in-room
Liquid cooling
High energy
efficiency
Rapid delivery
High I/O
performance
All-in-one solution
SSD card
8
Energy-saving server
GPU
Energy-saving products and
solutions
Huawei HPC Solution Portfolio
Industry
applications
Meteorological
environment
Animation
rendering
Physics & chemistry
Aerospace
CAE/CFD
Service
platforms
Cluster
management
FusionCluster
System
environment
CHESS
Windows
PBS Works
Bright
Platform
Parallel
environment
Linux
OS
Hardware
resources
Life sciences
JH Scheduler
Compiling and
development environment
Cloud rendering
Parallel file system
Computing environment
System
deployment
+
Blade server Rack server
GPGPU
Computing
Phi
Rack
storage
Cabinet Solid-state
storage
storage
Storage
IB/10GE switch GE switch
Network
Infrastructure
Modular data center
9
Customized
development
Container data center
Backup and
restoration
Physical Structure of the HPC Solution
Compute node
FDR IB
switch
Management node
Login node
GE
switch
Input PDF
Parallel file
system
Login node
Login node
Management network
Computing network
User
Storage network
10
UPS
Output
PDF
Computing
cabinet
Fat node
cabinet
GPU
cabinet
Network
cabinet
Storage
cabinet
Computing Solution: E9000 Blade Server
GPU
node
Compute
node
GPU
node
CH221
CH220
Compute
node
• Simple---Full convergence of computing, storage,
Storage
node
CH222
CH240
CH140
E9000
CH121
and network resources; rapid deployment (the
deployment cycle is shortened from weeks to days)
Fat
node
Fat
node
CH242
• Efficient--- Improves computing density by 66%
• Cost-effective---Supports processors of three
generations and network evolution in the next 10 years
CX110
GE switch module
Uplink ports: 12 x GE and 4 x 10GE
Downlink ports: 32 x GE
CX116
CX310
GE pass through
module
10GE converged switch
module
Uplink ports: 32 x GE
Downlink ports: 32 x GE
Uplink ports: 16 x 10GE
Downlink ports: 32 x 10GE
11
Switch modules
CX311
10GE/FCoE converged switch
module
Uplink ports: 16 x 10GE and 8 x 8G FC
Downlink ports: 32 x 10GE
CX317
10GE pass though
module
Uplink ports: 32 x 10GE
Downlink ports: 32 x 10GE
CX610
CX911
QDR/FDR switch
module
10GE/FC multi-plane switch
module
Uplink ports: 18 x QDR/FDR IB
Downlink ports: 16 x QDR/FDR IB
Uplink ports: 16 x 10GE and 8 x 8G FC
Downlink ports: 32 x 10GE and 16 x 8G FC
E9000 Features
Industry-leading
Supports 64 Romley EP 130 W CPUs per chassis, with the highest
computing density in the industry.
Supports computing performance of up to 16.5 TFLOPS per chassis.
Industry-leading
Supports 15 x 2.5-inch hard disks per CH222 (full-width node).
Supports 120 x 2.5-inch internal hard disks per chassis, with the
largest internal storage capacity per chassis.
1 computing
density
2
storage
density
Industry-leading
3 switching
capability
Uses industry-leading Huawei DC switch technologies for E9000 switch
modules.
Supports backplane switching capability of 15.6 Tbit/s and network
evolution from 10GE to 40GE and 100GE.
Supports up to 128 x 10GE uplink ports per chassis.
Supports various ports such as Ethernet, IB, and FC ports.
• Computing
7 types of compute nodes with E5-2600/E5-4600/E7-4800 CPUs
• Storage
Cost-effective distributed storage solution, ideal for big data
applications
• Network
9 types of switch modules: GE/10GE/FCoE/FC/IB QDR/FDR
• Management
eSight provides unified management, improving management
efficiency by 70%.
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4 reliability
Industry-leading
5
6
Stably operates at 40°C (104°F).
Supports a failure rate of 15% lower than competitors' products.
energy
efficiency
Ranked No.1 in competitive tests for projects of China Mobile and China
Unicom.
Has passed the China Energy Conservation and EnvironmentallyFriendly Certification.
Simplified
O&M
Supports plug-and-play for boards and cards and requires no
configuration for new devices.
Supports automatic parameter configuration and transfer.
Industry-leading
Storage Solution: Distributed, Parallel Storage System
Solution 1: Distributed NAS
Compute node cluster
…
Solution 2: SAN + parallel file system (Lustre)
Compute
node
cluster
…
…
…
IB/10GE
IB/10GE/GE
…
OSS
MDS
I/O node
cluster
OSS
Lustre parallel distributed file
system
Distributed file system
…
…
SAN
OceanStor 9000 (storage node cluster)
• Excellent performance: 800 MB/s bandwidth per node, up to 200
GB/s bandwidth per system (288 nodes), linear performance
enhancement
• Large capacity: 40 PB capacity per file system
• High reliability: N+M data protection mechanism, tolerating the failure
of up to four nodes
• Elastic scalability: on-demand deployment and expansion; node
addition within 1 minute
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T series storage
FC
IP/IB
• Excellent performance: T series unified storage and Lustre file system;
up to 96 GB/s bandwidth per cabinet
• High reliability: rapid rebuilding with the RAID 2.0+ virtualization
technology; end-to-end reliability design
• Elastic scalability: scalable to 16 controllers; capacity expansion and
performance improvement based on service growth
OceanStor 9000 Features
Highlights
Solution
…
Compute head
node
Compute node
queue 1
Compute node
queue 2
Compute node
queue 3
Data
collection
• High performance: 600 MB/s bandwidth per node and 200
GB/s total bandwidth
• Large capacity: linear expansion of 3 to 288 nodes, with up to
…
40 PB storage capacity per file system.
• Easy to use: Is easy to manage and integrate with the legacy
network since the storage system supports both IB and 10GE
networks.
• On-demand allocation: dynamically allocates storage
resources to different computing clusters.
10GE or
IB switch
Core switch
(10GE or IB switch)
GE switch
Key Technologies
High-performance
storage resource pool
GE
Large-capacity storage
resource pool
10GE or IB
OceanStor 9000
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User access and query
• A fully symmetrical distributed architecture without any individual
metadata node eliminates the performance bottleneck.
• Up to 55 TB global cache effectively improves performance and
shortens response time.
• Automated storage tiering and intelligent load balancing maximize
resource utilization.
• Space quota management implements flexible space allocation.
• The index search technology rapidly retrieves and analyzes
numerous files.
Network Solution: External Switches
Flagship core switches
10GE network
High-performance
TOR switches
CE6850-48T4Q-EI
CE6850-48S4Q-EI
CE5850-48T4S2Q-EI
CE5810-24T4S-EI
CE12812
CE12808
IB network
CE12816
15
CE12804
CE5810-48T4S-EI
12800 Switch Features
Elastic cloud engine
Core switches
CE12816
CE12812
40GE switch
CE12808
CE12804
• High-speed line cards: 12 x 100GE and
24 x 40GE
• 64 TB/s total capacity and 4 TB/s
bandwidth per slot
• Connected to up to 18,000+ 10GE
servers
• 18 GB cache for handling surging traffic
Supports four generations of servers in a
10-year lifecycle.
• VS: 1-to-16 virtualization (industry-leading)
and core multiplexing
• CSS/SVF: many-to-one virtualization for
simplified O&M
• TRILL: large L2 network for easy VM
migration
• EVN: cross-DC network virtualization
Improves ICT resource utilization.
GE TOR switches
Agile cloud engine
CE7850-32Q-EI
Virtual cloud engine
CE5850-48T4S2Q-HI
10GE TOR switches
CE5850-48T4S2Q-EI
CE6810-48S4Q-EI
CE6850-48T4Q-EI
CE5810-24T4S-EI
CE6850-48S4Q-EI
CE5810-48T4S-EI
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Quality cloud engine
• OPS provides open APIs to program networks.
• ENP is supported for in-depth programming for
the forwarding plane.
• nCenter supports agile VM deployment.
• ZTP uses Python to implement zero-touch
network deployment and configuration.
• Industry-leading orthogonal architecture
• Patented front-to-rear air channels and
separation of hot and cold air channels
• Low latency (2 us) and efficient forwarding
• Hot standby of five hardware systems
Accelerates agile innovation of cloud
services.
Provides high-value data center services.
Typical 10GE Network Solution
System management
network S5748
Hardware management
networkS5748
Computing network
System
management
network
OceanStor 9000
Frontend IB
Thin nodes:
32 CH140s
Thin nodes:
16 CH121s
GPU nodes:
8 CH221s
Fat nodes:
8 CH240s
Management/Login/
I/O node: CH121
Storage nodes:
8 CH222s
N9000 internal
frontend 10GE
interface module
Internal switch CX310 or
pass through module CX317
Internal switch CX310 or
pass through module CX317
• The computing network and data network are integrated and
10GE networking is adopted.
• Internal pass through or 10GE switches and external 10GE
switches constitute a high-speed non-blocking network.
10GE switch
17
Infrastructure Solution: Modular Equipment Room
Mini (< 20 m2)
Small (30-100 m2)
Application scenario: small-sized enterprises
Deployment scale: 1-5 server cabinets
Application scenario: small- and mediumsized enterprises
Deployment scale: 6-28 server cabinets
Three core modules + two auxiliary systems
·
·
·
·
Power transformation and
distribution
Diesel generator
UPS and battery room
Power
supply and
distribution
module
Data center
module
Output power distribution
Fire
extinguishing
system
·
·
·
·
·
·
Application scenario: medium- and largesized enterprises
Deployment scale: 28-1000+ server cabinets
Lower construction cost
Reduces initial
investment by 25%
Higher power density
Up to 21 kW/cabinet
Energy-saving data center
PUE: 1.25-1.6 (optional)
Simplified construction,
rapid deployment
Standard construction: only
8-12 weeks
Investment upon service
growth
Cabinet
Power distribution
Indoor air conditioner
Management
Cabling
Surge protection grounding
Outdoor cold
source
module
Decoration
system
Medium and large (100-2000+ m2)
Replicable, modular design
and expansion
· Outdoor air-cooled machine
· Chilled water system
Refined management
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IT
IT
IT
Load
Load
IT
Load
Load
Load
Load
Load
Maximizing ROI
Green operation
Modular Equipment Room Features
Adaption to various scenarios,
maximum space utilization
Cabling
system

Management
system
Skylight
Fire extinguishing
system
End
door
All-in-room design

Cooling system
Power
supply and
distribution
system
The equipment room supports single-row or dual-row, open or contained, hot or
cold aisles. A single module supports up to 36 IT cabinets, requiring a minimum
height of 2.6 m.
 Maximum nameplate power per cabinet: 21 kW; maximum nameplate power per
module: 200 kW.
Cabinet
system
Modular architecture and high
energy efficiency


Modular design, flexible combination, and ondemand deployment
Component-level modular architecture allows on-demand, elastic
expansion, cutting down initial investment by 30%.
In-row air conditioners, modular UPSs, aisle containment, and integrated
PDFs decline PUE to less than 1.5.
Intelligent management system for
real-time monitoring

19
Onsite installation can be completed within 1 week, improving deployment
efficiency by 50%.
The NetEco intelligent management system implements real-time monitoring.
Overall Software Architecture
Simplified maintenance
Pre-integrated industry applications and centralized scheduling management
Web portal/CLI
Compiler
Math library
Parallel library
Commissioning
tool
Animation rendering
Oil exploration
Installation
Cluster security
User
management
CAS emulation
Power
consumption
management
Alarm
management
Cluster
monitoring
Job scheduling
HTTP
Cluster
management
Biological pharmacy
HTTP/SSH
Web Service
Interface
RHEL 5.x/6.x
SLES 11.x
CentOS 5.x/6.x
Modular design, high scalability, and ease of upgrades
20
Cluster Management Software: BCM Features
•
•
•
Easy to manage: supports rapid installation within 1 hour, provides a GUI for management and monitoring, and integrates with various parallel application environments.
Easy to expand: uses a single lightweight management process to support over 1000 nodes per cluster and integrated management of multiple clusters.
Comprehensive functions: provides all functions required by users or administrators, and supports GPU management, job scheduling integration, and cloud computing.
21
Typical Solution 1: All-in-Chassis
Chassis
Component
Product Model
Quantity
Chassis
E9000
1
Management node &
compute node
CH140
8
GPGPU node
CH221
2
Fat node
CH240
1
Storage node
CH222
1
• All-in-chassis solution: high convergence of high-density computing, large-capacity storage, and high-bandwidth network sources
• Main features: computing capability: 10.6 TFLOPS; storage capacity: 13.5 TB; maximum power consumption: 10 kW
• Main scenario: small-scale parallel computing for key labs of specific majors in universities
22
Typical Solution 2: All-in-Rack
Rack
Component
Product Model
Quantity
Rack
Standard rack
1
E9000
2
CH140
32
Management/Monitoring/
Storage server
RH1288 V2
Total: 6
Management: 1
Monitoring: 1
Storage: 4
Storage device
S2600T
1
Computing device
• Main features: computing capability: 33 TFLOPS; storage capacity: 144 TB; maximum power consumption: 25 kW
• Main scenario: medium-scale parallel computing for specific majors of colleges in universities
• All-in-rack HPC solution: high integration of infrastructure and IT devices in a rack, and plug-and-play
23
Typical Solution 3: All-in-Room
Input PDF
UPS
Output
PDF
Battery
In-row air Computing
conditioner
cabinet
In-row air Fat node GPU
conditioner cabinet cabinet
3600 mm
Medium-sized modular equipment room
Contained cold aisle
6600 mm
 22 42U standard cabinets, scalable to 28 cabinets
 Dual-row contained cold aisles, with the minimum
power usage
efficiency (PUE) of 1.3
 Total IT nameplate power consumption of an equipment room: 133 kW
In-row air
conditioner
Storage
cabinet
In-row air
conditioner
Computing In-row air
cabinet
conditioner
Computing In-row air Network
conditioner cabinet
cabinet
• All-in-room solution: modular design for rapid construction, on-demand deployment, high energy efficiency, and smart management
• Main features: computing capability: 187 TFLOPS @ 322 nodes (6 computing cabinet, 1 GPU cabinet, and 1 fat node cabinet); storage capacity: 1
PB; bandwidth: over 10 GB/s (16 OceanStor 9000 nodes in 2 cabinets)
• Main scenario: large-scale parallel computing for comprehensive majors of the campus computer center
24
Huawei HPC Solution Highlights
Advanced converged architecture to provide optimal
performance
Management GUI, improving management efficiency by
50%
Board-level to system-level energy conversation,
reducing power consumption by 40%
200 GB/s
25
High-speed
interconnect:
IB FDR
Management
16.5 TFLOPS
Throughput:
Network
Computing capability
per chassis:
Storage
Computing
Modular design for on-demand, elastic expansion
Unified
management:
Evolution to the
cloud platform
Contents
1
Trends and Challenges
2
Huawei Solution
3
Success Stories
26
Extensive Deployment and Service Experience for HPC
Solutions (Education Industry)
•
•
•
•
Newcastle University in U.K. (Phases I and II)
Universidad De Burgos in Spain
Deltares Institute in the Netherlands
Utility Association Eilenburg-Wurzen in German
• University of
Nebraska-Lincoln
• University of
Tennessee,
Knoxville
• Istanbul Technical University in
Turkey
• Yildiz Technical University
• Turkish Academic Network and
Information Center
• Mackenzie University in Brazil
27
• School of Computer Science and Engineering,
Beihang University
• Beijing Jiaotong University
• Beijing Post and Telecommunications
Research Institute
• Capital Medical University
• Institute of Disaster Prevention Science and
Technology in Hebei
• School of Psychology, Southwest University
ULAKBIM: HPC Platform
Challenges
•
•
•
With the explosive increase of computing data, the existing HPC platform
could not address user requirements.
A low network bandwidth decreased computing efficiency and
deteriorated service quality.
The previous data center had poor heat dissipation and power supply
capabilities and could not be easily expanded.
Huawei Solution
•
•
•
The Huawei RH1288 V2 rack server expanded the capacity of the legacy
HPC platform.
Compute nodes were interconnected over a 56G IB network to set up a
non-blocking, high-speed computing network.
The legacy heat dissipation and power supply resources were used for
easier capacity expansion.
Customer Benefits
•
•
•
28
Improves computing capabilities by four times and boosts service capabilit
ies, addressing ever-increasing user demand.
Improves computing network capabilities, enhancing computing and user
efficiency.
Fully utilizes existing resources, minimizing capacity expansion costs.
Institute of Disaster Prevention for China's State
Seismological Bureau: HPC Solution
Challenges
•
•
•
Computing data has increased rapidly, and the institute's current
computing capability could not meet requirements.
The current data access speed was so slow that the overall
computing performance was negatively affected.
Computing and storage requirements were increasing constantly,
and the system capacity was difficult to expand.
Huawei Solution
•
•
•
Huawei RH2288 servers were used as compute nodes, providing
peak data processing capability of 20 TFLOPS.
Huawei's OceanStor was deployed as the hierarchical storage
system, with a storage capacity of up to 500 TB.
The Huawei all-in-one HPC solution supported modular
deployment, meeting requirements for flexible capacity expansion.
Customer Benefits
"Huawei provides us with a complete end-to-end HPC solution, which
features high cost-effectiveness, low power consumption, and high
scalability. This solution meets our requirements for real-time acquisition
of, rapid access to, and large-scale computing of earthquake warning sign
monitoring data."
— Institute of Disaster Prevention
29
•
•
•
Improves overall performance by 80%.
Increases data access speed by 70%.
Meets capacity expansion requirements for the next 10 years.
China's National Meteorological Information Center:
Integrated, Multi-Service R&D Platform
Challenges
• Long system construction cycle and complex management
• Large IT equipment footprint and high O&M management costs
• Low IT equipment utilization rate and high TCO
Huawei Solution
• A cloud platform was built to satisfy the requirements of multiple business
departments in diverse application scenarios.
• Huawei E9000 converged infrastructure blade servers integrated
computing, storage, and network resources.
• The Huawei FusionSphere centrally monitored and scheduled resources,
accelerated deployment, and enabled resource sharing.
Customer Benefits
• Simplifies IT construction and management and accelerates IT deployment,
which helps the customer focus on core services.
• Reduces the IT equipment footprint by 60% and overall power consumption
by 40%.
• Enables resource sharing to improve the resource utilization rate and cut
down IT costs by 50%.
30
Newcastle University in U.K.: HPC System
Challenges
• Memory capacity of a single compute node: > 512 GB; overall computing
performance: > 88 TFLOPS
• I/O bandwidth: > 1 GB/s
• Multi-phase deployment and easy system expansion
Molecular
dynamics
simulation
Huawei Solution
Huawei HPC solution
Bioinformatics
Computing
Storage
Medicine
R&D
Network
• Huawei provided an HPC solution that incorporated the E9000 blade
server, S5500T storage device, full 10GE high-speed network, Huawei
FusionCluster, and Lustre high-performance parallel storage.
• The all-in-one HPC modular solution will meet future expansion
requirements.
Customer Benefits
"We are impressed by Huawei's HPC solution that integrates computing,
storage, and network resources. Huawei's HPC solution provides us with
an easy-to-expand and cost-effective HPC cluster. This is the solution we
need."
— Jason Bain, Deputy Dean of the IT Infrastructure and Architecture
Department, Newcastle University
31
• Rapid deployment: Integrated computing, network, and storage
resources enable service deployment time to be reduced to three days.
• Simplified management: Unified management minimizes maintenance
workloads.
• Easy capacity expansion: The expansion capability of Huawei's HPC
solution will reduce expansion costs and meet expansion requirements for
the next five years.
Turkey YTU: HPC Platform
Challenges
•
•
The previous standalone serial computing mode had poor computing
capabilities. Simulated computing was time-consuming and complex
computing tasks could not be executed, which hindered the research
progress of the university.
Computing and storage resources could not be shared, which resulted
in a low resource utilization rate.
Huawei Solution
•
•
Yildiz Technical University (YTU), founded in 1911, is one of the seven
public universities in Istanbul and is also one of the oldest and most
prominent universities in Istanbul. Its predecessor is Yildiz University
founded in 1882. YTU is dedicated to engineering sciences, and has three
campuses and 17000+ students nowadays. YTU wanted to deploy an HPC
platform to improve its abilities in the scientific research and to provide
various HPC resources for enterprises in its science park.
32
•
256 RH2288 V2 2-socket rack servers were deployed as computing
servers to provide the maximum computing capability of 90 TFLOPS. 10
RH5885H V3 servers and 40 NVDIA K20X GPGPUs were used as
acceleration nodes to provide the maximum computing capability of 57.5
TFLOPS.
One OceanStor18000 was deployed as the storage system, which
provided 300 TB storage capacity. Six RH2288 V2 servers were
deployed to run the commercial Lustre software, which provided a highperformance parallel file system.
The QDR 40GE network was used to ensure high-speed data
communication.
Customer Benefits
•
•
Huawei's HPC platform provides superb computing performance to
improve scientific research efficiency by 80%.
End-to-end provisioning and unified management reduce maintenance
cost by 30%.
Istanbul Technical University in Turkey: HPC Platform
Challenges
•
•
•
The previous serial computing could not satisfy ever-increasing service
demand.
The previous storage products had poor reliability, performance, and
scalability, which resulted in severe data loss.
The previous factory service was not responsive.
Huawei Solution
•
•
Istanbul Technical University (ITU) in Turkey, founded in 1773, is one of the
world's oldest universities dedicated to engineering sciences and one of the
most prominent educational institutions in Turkey. This university has 25,000
students and 2200 teachers (including 430 professors). It also has five
campuses, 12 colleges, five research institutes, and two training institutes in
Istanbul. The university studied the agricultural IT program for the Turkey's
Ministry of Agriculture. In this program, the university needed to collect and
analyze temperature, humidity, and geographical information in different
regions using satellites, provide various agricultural indicators for farmers,
and generate reports and predictive information based on the collected
massive information using an HPC platform. To accomplish this program, the
university needed an efficient computing and storage platform with good
scalability to meet ever-increasing service demand.
33
•
An HPC system was established by using 800-core RH1288 rack servers
and 10GE switches to replace serial computing with parallel computing.
A high-end storage solution with the remote disaster recovery (DR)
capability was deployed to fulfill performance and reliability requirements. In
this solution, the four-controller OceanStor 18800 was deployed at the
primary site in Istanbul, and the dual-controller OceanStor 18800 was
deployed at the DR site in Ankara. Data could be remotely duplicated
between the sites, and hierarchical storage enhanced system performance.
Huawei provided the high-quality local factory service.
Customer Benefits
•
•
•
Parallel computing improves computing performance by 8 times.
High performance and scalability meet storage requirements of 200,000 to
2,500,000 users, and support expansion to 16 controllers to meet service
requirements for the next five years.
The one-stop solution with high data reliability significantly reduces TCO.
University of Tennessee, Knoxville: HPC Platform Storage System
Challenges
• The bandwidth of the existing storage system could not meet HPC system
requirements as compute nodes and computing tasks increased
constantly.
• 4 GB/s bandwidth was required to support 64 compute nodes and 256
processes.
• The existing file system capacity could not meet HPC application
requirements.
Huawei Solution
• Provided the N8300 cluster NAS that consisted of 10 nodes.
• Used the active-active architecture to support parallel access of compute
nodes and implement system load balancing; adopted redundancy design to
enhance system reliability.
• Deployed two S5600T storage units to provide 1 PB available space.
The University of Tennessee, Knoxville (UTK), founded in 1794, is a public
university funded by the government. This university has comprehensive,
high-performance. In its 2012 ranking of universities, U.S. News & World
Report ranked UTK 101st among all national universities and 46th among
public institutions of higher learning. It covers an area of 3500 hectares,
provides 300+ degree programs, has 1400+ employees, and hosts
28,000+ students from 100+ countries around the world.
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Customer Benefits
• Provides up to 4 GB/s bandwidth and 1 PB capacity to satisfy HPC
application requirements.
• Supports future online performance improvement and capacity expansion.
• Provides non-stop services around the clock.
Mackenzie University in Brazil: Container Data Center
Challenges
•
•
•
PB-level storage capacity needed to be provided for Mackenzie Television to store
videos of 2 million hours.
A unified data storage service needed to be provided for over 30 scientific research
and administrative departments to eliminate information silos.
A container data center needed to be built to protect old buildings.
Huawei Solution
•
•
Huawei provided a one-stop solution that consisted of the Huawei IDS1000
container data center and Huawei N8000 cluster NAS storage devices.
Two N8000 devices were deployed. One was used as the video and image storage
system, and the other was used as the file sharing center.
Customer Benefits
"We are impressed by Huawei's one-stop solution. It helps
resolve various difficulties arising from IT construction. This
cost-effective solution not only protects our old buildings but
also meets our service demand. This is the solution that we
need."
--- Brito Pereira, director of Mackenzie University's
information center
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•
•
•
•
The one-stop solution reduces the initial investment by 40%.
The container data center minimizes equipment footprint, is easy to deploy, and
protects old buildings.
The PUE value decreases to 1.55 and the overall power consumption decreases by
30% compared with the previous data center.
Centralized data storage and unified management cut down TCO by over 20%
compared with the previous storage system.
HUAWEI ENTERPRISE ICT SOLUTIONS A BETTER WAY
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portfolio, new technology, etc. There are a number of factors that could cause actual results and developments to differ materially from those expressed or implied in the predictive
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