Connectivity Interface Optimization Engine for Enterprise Systems

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Solution Overview

Problem

Current business processes face challenges in integrating on-premise and on-demand systems, leading to data quality issues, increased Total Cost of Ownership (TCO), and complexity in maintaining connectivity interfaces across heterogeneous networks, which results in slower software deployments and increased time for mergers and acquisitions.

Innovation Solution

A collector and optimizer framework that collects connectivity interfaces data from on-premise and cloud-based systems, analyzes it to generate optimization recommendations, and transmits these recommendations to users via a user interface application, facilitating secure, automatic, and accurate connectivity interfaces optimization.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Adaptability or versatility

If multiple on-premise and on-demand systems are integrated to support complex business processes, then system functionality and business process capability are improved, but system complexity and maintenance difficulty increase

Engineering Contradiction:
Improvebusiness process capabilityVSAvoidsystem integration complexity
Core Design Contradiction:
Adaptability or versatilityVSDevice complexity

Solution Approach 1:

The patent introduces a service registry and service gateway as intermediary components that mediate between multiple on-premise and on-demand systems. The service registry centralizes service metadata management, while the service gateway provides unified service access and orchestration, thereby reducing the complexity of direct point-to-point integrations while maintaining comprehensive business process capability.

Inventive Principle:
Principle #24Intermediary (Mediator)

2Reliability

If data is replicated across multiple systems to ensure data availability, then data accessibility is improved, but data quality and consistency deteriorate

Engineering Contradiction:
Improvedata availabilityVSAvoiddata quality consistency
Core Design Contradiction:
ReliabilityVSManufacturing precision

Solution Approach 1:

The patent implements data quality monitoring and validation mechanisms that continuously track data across replicated systems. When data quality deviations are detected, the system provides feedback through alerts and automated correction workflows, enabling continuous maintenance of data consistency while preserving data availability across multiple systems.

Inventive Principle:
Principle #23Feedback

3Difficulty of detecting and measuring

If comprehensive interface monitoring and analysis tools are deployed to understand system connectivity, then system visibility and control are improved, but implementation cost and complexity increase

Engineering Contradiction:
Improvesystem connectivity visibilityVSAvoidmonitoring system complexity
Core Design Contradiction:
Difficulty of detecting and measuringVSDevice complexity

Solution Approach 1:

The patent creates a service gateway that performs multiple functions including service registration, service publishing, service binding, and interface monitoring within a single unified platform. This multi-functional approach provides comprehensive system connectivity visibility without requiring separate specialized tools for each monitoring function, thereby reducing overall system complexity while improving visibility.

Inventive Principle:
Principle #6Universality (Multi-functionality)

Data Source

PatentUS11188924B2Connectivity interface optimization recommendation engine for enterprise system
Publication Date: 2021.11.30 SAP SE
  • US11188924B2 patent drawing
  • US11188924B2 patent drawing
  • US11188924B2 patent drawing

AI summary

Some embodiments may be provided for an enterprise associated with on-premise systems and cloud-based computing applications. A plurality of on-premise collector agents may each execute between an on-premise system and a collector system server. A plurality of cloud collector agents may each execute between a cloud-based computing application and the collector system server. A collector and optimization framework, executing on the collector system sever, may collect connectivity interfaces data from the on-premise and cloud collector agents and store the collected connectivity interfaces data in a local data store. The stored connectivity interfaces data may then be automatically analyzed to generate an optimization recommendation for an enterprise landscape. The collector and optimizer framework may then transmit information about the optimization recommendation to a user via a User Interface (“UI”) application.