Data-Center Communications Server for Context-Based Network Optimization
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing data communications systems lack the ability to efficiently optimize network performance based on the context and patterns of user-data communications, leading to suboptimal service delivery and operational issues.
Innovation Solution
Implementing a data-center communications server that aggregates context information from user-data communications, analyzes operational statistics, and configures network parameters using machine learning to improve subsequent communications based on identified patterns and context.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If data communications systems use traditional network management approaches, then system simplicity is maintained, but network performance optimization based on communication context and patterns cannot be achieved
Solution Approach 1:
The patent introduces a context aggregation server as an intermediary component that collects, processes, and analyzes communication context information from multiple sources. This server acts as a mediator between the existing network infrastructure and the optimization processes, enabling performance improvement without fundamentally redesigning the entire system. The context aggregation server gathers data about communication patterns, user behavior, and network conditions, then uses this information to dynamically adjust network parameters and resource allocation.
Solution Approach 2:
The system implements continuous feedback loops where network performance data and communication context information are constantly collected, analyzed, and used to adjust network operations. The context aggregation server monitors communication patterns and network conditions in real-time, then feeds this information back to network elements for dynamic optimization. This feedback mechanism enables the system to adapt to changing conditions and continuously improve performance based on actual usage patterns.
2Reliability
If context information is aggregated and analyzed for all user-data communications, then network performance optimization is improved, but information processing requirements and system resource consumption increase
Solution Approach 1:
The patent applies local quality by tailoring network optimization to specific communication contexts and user patterns rather than applying uniform optimization across all communications. The context aggregation server analyzes individual communication patterns and applies customized optimization strategies for different users, applications, and network conditions. This allows resource-intensive processing to be focused only where and when it is most beneficial, rather than uniformly processing all communications at high detail levels.
Solution Approach 2:
The system implements partial action by selectively aggregating and processing context information for communications where optimization can provide measurable benefits. Rather than analyzing every single communication packet in detail, the context aggregation server focuses processing resources on communications that exhibit patterns indicating potential for optimization, such as recurring communication flows or applications with known performance requirements. This selective approach reduces overall processing requirements while maintaining service quality for critical communications.
Data Source
AI summary
Certain aspects of the disclosure are directed to context aggregation in a data communications network. According to a specific example, user-data communications between a client-specific endpoint device and the other participating endpoint device can be retrieved from a plurality of interconnected data communications systems. The client station can be configured to interface with a data communications server for providing such data communications services. Context information for each respective user-data communication between the client station and the participating station are aggregated, and operational statistics from network circuitry providing the user-data communications between the client station and the participating station are retrieved. Various network parameters can be changed to improve or optimize performance of subsequent user-data communications between the client station and the participating station, based on patterns identified in the operational statistics and the aggregated context information.