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.
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

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.

  1. 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).

  2. Excellent-performance BMS

    Provides excellent computing performance using dedicated physical servers, avoiding loss due to virtualization and offering industry-leading performance. It allows you to automatically provision BMS on the management console, fully meeting scalability and flexibility requirements for HPC services.

  3. 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.

  4. 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.

  5. Related Services

    Elastic Cloud Server

    Bare Metal Server

    GPU Accelerated Cloud Server

    FPGA Accelerated Cloud Server

    Elastic Volume Service

    Object Storage Service

    Scalable File Service

    Data Express Service

    Virtual Private Cloud

    Direct Connect

    Image Management Service

Genetic Test

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.

  1. 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.

  2. 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.

  3. Cost-effective

    There is neither a software nor hardware investment. Cloud resources are allocated based on demand, and charged by actual usage.

  4. Related Services

    Elastic Cloud Server

    Object Storage Service

    Scalable File Service

    Elastic Volume Service

Solution Architectures

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.
Recommended Services
  • Elastic Cloud Server
    Provides scalable, on-demand cloud servers for reliable, secure, flexible, and efficient application environments.
  • Bare Metal Server
    Provides dedicated physical servers in the cloud. With the advantage of scalable cloud resources, it provides flexible and excellent computing capability.
  • Data Express Service
    Users can seamlessly integrate with SFS without any modifications to existing applications and tools. The performance of SFS improves as capacity increases, satisfying the requirements of medical content management.

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