# Core Components

### Message Subscriber

**Function** : Collects and processes all game-related events and data in real time.

**\[Features]**

* High-performance data stream management : Efficiently handles large volumes of data using\
  asynchronous message processing.
* Automatic retry and error recovery : Minimizes data loss with automatic retries in case of system\
  errors.
* Priority-based message handling : Ensures fast response and processing by prioritizing messages\
  based on importance.

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### IPFS File Manager

**Function** : Manages decentralized storage and access control for game data.

**\[Features]**

* Efficient data retrieval : Enables rapid data searches using content-based addressing.
* Optimized storage utilization : Eliminates duplicate data to maximize storage efficiency.
* Data integrity verification : Continuously verifies stored data to maintain security and reliability.
* Fast data access : Provides quick access to frequently used data through a caching system.

***

### Reward Processor

**Function** : Handles reward calculations and distributions based on gaming activities.

**\[Features]**

* Automated reward payouts : Leverages smart contracts for reliable and automated reward\
  distribution.
* Secure transaction processing : Ensures safe transactions with multi-signature-based security\
  systems.
* Real-time reward monitoring : Tracks and verifies reward status in real time.
* Transparent reward history : Maintains a detailed, blockchain-recorded history of all reward\
  distributions.

***

### Local Storage Processor

**Function** : Manages temporary data and critical game states.

**\[Features]**

* High-performance caching system : Speeds up data access with an advanced caching mechanism.
* Data recovery and backup : Prevents data loss through robust recovery and backup systems.
* Distributed database synchronization : Maintains data consistency by synchronizing with\
  decentralized databases.
* Layered storage optimization : Enhances performance by optimizing storage layers based on data\
  access patterns.
