Biomedicine
The end-to-end biomedicine solution provides enterprises with computing and storage services required for analyzing massive amounts of data, facilitating precision medical treatment.
Industry Trends
Development Trends in Biomedicine
In life sciences, huge volumes of biological data are generated from the fields of genomics, transcriptomics, proteomics, and metabolomics. In the genomic sequencing industry, with advances of the technology, reducing test costs is critical for enterprises aiming to improve their competitiveness. Therefore, traditional self-hosted data centers face the following challenges:
- Construction of computing clusters is a large asset investment, both costly and time-consuming. It cannot meet the flexible requirements of the enterprises’ services, causing resource scarcity or waste.
- The operation expenses (OPEX) including the construction costs of on-premises equipment rooms, utility bills, and system management fees are extremely high.
- O&M consumes a large percentage of labor and resources, distracting enterprises from their business objectives.
- Hardware devices degrade quickly, while new technologies continuously emerge. Aged devices struggle to provide the computing capability required by the exploding data volume.
With the advances in life sciences and the cloudification of data centers, it is inevitable to cloudify the life science industry. Cloud computing allows enterprises to store data and perform data computing in the cloud with high efficiency, reducing heavy assets and maintenance workload. Enterprises can therefore focus on business development.
Solution Advantages
Excellent Performance
100 Gbit/s InfiniBand computing network, 3.2 TB SSD, and local ultra-large high-speed cache disks ensure excellent performance.
Comprehensive Security Protection
A reliable high-performance computing platform provides end-to-end security solutions and ensures user data security.
Open Architecture
OpenStack-based HUAWEI CLOUD ensures greater openness and heterogeneous capabilities to prevent vendor lock-in.
Sustainable Ecosystem
Huawei provides integrated industry-leading HPC application software and implements in-depth system performance evaluation with other vendors to ensure service reliability on HUAWEI CLOUD.
Business Challenges
Great challenge to Computing Capabilities
With the rapid development of genomic sequencing technology, data volumes for genomic sequencing have surged. As a result, the computing capacity cannot meet the requirements of the increasing data.
Low Data Analysis and Interpretation Efficiency
Sequencing a person's genome generates at least 1.5 TB data each time, which takes traditional IT devices at least six days to analyze and interpret.
High IT Investment Costs
The construction, deployment, O&M, and capacity expansion of IT clusters is complex. Increasing requirements for computing server performance results in higher IT infrastructure costs.
Difficult Data Sharing and Storage
The transmission, sharing, storage, and I/O performance for this massive amount of data needs to be improved.
Typical Scenarios
- Genomic sequencing
- Genetic Test
Genomic sequencing applications demand high-performance computing. Computing requirements vary depending on different sequence contents. Huawei's HPC solution provides end-to-end computing services for enterprises focusing on genomic sequencing.
- Scalable and High-performance ECS
Provides various types of Elastic Cloud Server (ECS) instances and dozens of configurations including the fat nodes based on Bare Metal Server (BMS) instances to meet different HPC application requirements for computing and memory capacity. ECS types include H1 (high computing I, which uses a 10GE network), H2 (ultra-high computing II, which uses a 100 Gbit/s InfiniBand network), FPGA, P1 (Artificial Intelligence), and M1 (memory optimization type).
- Excellent-performance BMS
Provides excellent computing performance using dedicated physical servers, avoiding loss due to virtualization and offering industry-lead performance. It allows you to automatically provision BMS on the management console, fully meeting scalability and flexibility requirements for HPC services.
- High-performance Lustre Parallel File System
Uses optimized and dedicated ECS and Elastic Volume Service (EVS) to deploy Lustre file system. Each Object Storage Server (OSS) provides up to 4.5 Gbit/s throughput, with the whole system providing up to 2 Tbit/s throughput. File capacity is up to 32 PB, to fully meet the file system requirements of HPC.
- Distributed and Scalable Block Storage Service
Allows EVS to be attached to each ECS on demand and offers storage space for HPC computing and storage nodes. Each disk provides up to 32 TB of capacity, 20,000 IOPS, and 350 MB/s throughput.
Related Service
Data volume from genomic sequencing continuously grows as genetic test technologies rapidly develop. This amount of data poses a challenge to computing capability. To tackle the problem, Batch Service enables efficient and convenient massive computing in the cloud to save time and costs.
- Efficient and Ease of use
With accessible data processing software, running environments, and convenient process control, large-scale tasks can be processed concurrently to speed up analysis and computing.
- Multiple Storage Services Supported
Multiple cloud storage services including Object Storage Service (OBS), Scalable File Service (SFS), and EVS are supported to meet the requirements of different data.
- Cost-effective
There is neither a software nor hardware investment. Cloud resources are allocated based on demand, and charged by actual usage.
Related Service
Solution Architecture
Description
Provides high-performance, reliable, and convenient computing services to meet the genomic sequencing requirements of biomedicine. This solution helps you shorten the sequencing period and boost enterprise revenue.
Highlights
- High performance: provides 100 Gbit/s InfiniBand computing network, 3.2 TB SSD, and ultra-large local high-speed cache disk.
- Rich instances: supports the deployment on ECS and BMS, meeting the deployment requirements of different applications.
- Open architecture: uses OpenStack-based architecture to avoid being locked in by a specific service provider.
- Comprehensive protection: provides security protection for 7 layers, namely access, transport, infrastructure, networks, virtualization, data, and management.
Related Services
Recommended Services
RDS for PostgreSQL
PostgreSQL is a powerful, open-source, object relational database with a great reputation for reliability and data integrity. It can provide secure lifecycle management for medical applications.
Distributed Message Servic
Distributed Message Service (DMS) is a fully managed, high-performance message queuing service that can access real-time data from medical devices and allows access to data lakes on the cloud.
RDS for PostgreSQL
PostgreSQL is a powerful, open-source, object relational database with a great reputation for reliability and data integrity. It can provide secure lifecycle management for medical applications.
Recommended Configurations
ECS
H2 | 16-core 128 GB | 3.2 TB SSD | 100 Gbit/s InfiniBand | 10
AS
Free | N/A
SFS
5 TB | N/A
IMS
Free | N/A
VPC
10 Mbit/s | N/A
Cloud Eye
Free | N/A
