Parrot Trade
  • Parrot Trade
  • Introduction
  • Background of the project
  • Project Overview
  • Technical Overview
  • Technical architecture overview
  • Core functions and features
  • Data collection and preprocessing
  • Data cleaning and denoising
  • Data standardization and normalization
  • Data transformation and feature engineering
  • AI intelligent learning and training model
  • Neural network model architecture
  • Supervised and unsupervised learning algorithms
  • Model evaluation and optimization strategies
  • Intelligent Trading Strategy
  • Risk Management and Money Management
  • Real-time decision-making and trade execution
  • Technical implementation and system architecture
  • Data storage and processing
  • Real-time data stream processing
  • Distributed computing and high availability
  • Security and Privacy Protection
  • Development Roadmap
  • Commercial Application and Value
  • Conclusion and Outlook
  • Appendix
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Distributed computing and high availability

Distributed computing and high availability are one of the key technologies in building the Parrot platform, which can ensure good performance and stability of the platform. About the application of parrot distributed computing and high availability in the Parrot platform:

Distributed Computing:

  1. Task distribution and parallel computing: The Parrot platform adopts a distributed architecture, decomposes tasks into multiple subtasks, and distributes these subtasks to multiple computing nodes for parallel computing through the task scheduler. This can speed up the process of data processing and model training.

  2. Data sharding and distributed storage: Large-scale data needs to be sharded and stored on multiple nodes and managed through a distributed file system or object storage. This improves data reliability and scalability and makes full use of the cluster's computing resources.

  3. Fault tolerance and load balancing: The Parrot platform adopts a fault tolerance mechanism. When a computing node fails, tasks can be automatically migrated to other healthy nodes to continue execution. At the same time, tasks are evenly distributed to each node through the load balancer to ensure resource utilization and performance of the cluster.

  4. Distributed storage and caching: The Parrot platform uses distributed storage and caching technology to store data on multiple nodes, and uses the caching system to accelerate data access and calculation processes. This reduces the risk of single points of failure and improves the efficiency of data reading and writing.

High availability:

  1. Multi-active architecture: The Parrot platform adopts a multi-active architecture, deploying the system in data centers or cloud service providers in multiple geographical locations to ensure that even if a failure occurs in one area, systems in other areas can still continue to provide services.

  2. Automatic expansion and elastic scaling: The Parrot platform has automatic expansion and elastic scaling capabilities, automatically adjusting the number and configuration of computing nodes based on system load and resource utilization to cope with sudden traffic increases or load fluctuations.

  3. Disaster recovery backup and data replication: The Parrot platform sets up disaster recovery backup and data replication mechanisms to back up key data to different geographical locations or data centers, and perform regular data synchronization and backup to prevent data loss and system failures.

  4. Monitoring and alarm system: The Parrot platform has established a complete monitoring and alarm system to monitor system operation and performance indicators in real time, and to detect and respond to abnormal situations in a timely manner to ensure the availability and stability of the system.

Through distributed computing and high-availability technical means, the Parrot platform can provide stable and efficient trading services to meet users' needs for performance and reliability.

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Last updated 1 year ago