Technical Architecture

The DSFS (Distributed Storage and Super Computing) underlying technology system is the foundational infrastructure for the DSC (Distributed Super Computing) platform, providing critical support for distributed AI computing services. The DSFS system consists of multiple subsystems, each optimized for specific functions and requirements. Here are the main components of the DSFS underlying technology system:

Distributed Storage Subsystem

  • Responsible for the distributed storage and management of data, ensuring high availability and fault tolerance.

  • Enhances data security and access speed by splitting data into multiple segments and storing them in different geographical locations.

  • Supports the scalability of metadata management architectures and storage optimization for applications and workloads.

High-Performance Computing Subsystem

  • Provides powerful computing capabilities and efficient computation, supporting various computing architectures and algorithms.

  • Meets diverse computational needs, particularly in fields such as deep learning and big data analytics.

  • Utilizes advanced scheduling algorithms to achieve task priority allocation, resource utilization optimization, and load balancing.

Intelligent Computing Power Scheduling Subsystem

  • Automatically allocates, monitors, and maintains computing resources based on factors like task priority, resource utilization, and load balancing.

  • Supports high concurrency and low latency computing requirements, ensuring efficient use of computing resources.

  • Reduces resource wastage and improves overall system operational efficiency through intelligent scheduling.

Data Security Protection Subsystem

  • Implements multi-dimensional proactive real-time defense technologies to effectively prevent data leakage, loss, privacy breaches, and hacking attacks.

  • Uses encryption technologies to secure data during transmission and storage, ensuring the confidentiality and integrity of user data.

  • System scalability breakthroughs maintain efficient data processing and security protection under heavy data requests.

Since its development completion in June 2018, the DSFS system has undergone multiple iterations and upgrades, incorporating capabilities such as intelligent computing power scheduling and multimodal distributed system functions. The DSFS system has been successfully commercialized in over ten countries worldwide, providing stable and efficient underlying technical support for the DSC platform. Through the collaborative efforts of these subsystems, DSFS provides a solid foundation for the DSC platform's distributed AI computing services, enabling it to meet the growing market demand and user expectations.

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