Manager-Worker Content Processing with Regional Throttling
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Solution Overview
Problem
Current content processing systems face scalability issues, complexity in managing distributed systems, non-compliance with data movement regulations, and inefficiency in handling legacy systems across geographic boundaries, leading to high costs and potential data breaches.
Innovation Solution
A content processing management system with manager and worker nodes, utilizing a tag-based job assignment process to streamline content scanning across multiple sources, ensuring compliance and efficient processing, even across different countries, while decoupling worker nodes from queue management and failover responsibilities.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the push model is used to process content from distributed sources, then content can be processed locally without overwhelming central systems, but the complexity of managing many connectors across distributed systems increases significantly
Solution Approach 1:
The patent merges the functions of multiple distributed connectors into a single centralized content processing system. Instead of managing separate connector software at each content source, the invention consolidates scanning, processing, and pushing capabilities into one unified system that centrally manages all content sources, thereby reducing operational complexity while maintaining system stability
Solution Approach 2:
The invention introduces a centralized content processing system as an intermediary between content sources and the search engine. This mediator system handles all interactions with content sources through standardized interfaces, eliminating the need for complex point-to-point connector management while ensuring reliable content collection and processing
2Device complexity
If the pull model is used to fetch content from distributed sources, then centralization simplifies management, but the central controller can overwhelm legacy systems and cause them to degrade or crash
Solution Approach 1:
The patent implements dynamic throttling mechanisms that automatically adjust the rate and volume of content requests based on the response capacity of legacy systems. The system monitors system performance metrics and dynamically modifies crawling intensity, request rates, and data transfer volumes to prevent overwhelming legacy infrastructure while maintaining centralized management
Solution Approach 2:
The invention applies partial action by selectively controlling which content sources are scanned and at what intensity. The system prioritizes content sources based on importance and system capacity, performing partial scans or sampling when full scanning would overwhelm legacy systems, thereby maintaining management simplicity without causing system degradation
3Device complexity
If content is pulled from geographically distributed sources, then centralization enables unified processing, but data transfer across country boundaries may violate local privacy laws
Solution Approach 1:
The patent implements local quality by enabling content processing to occur in the same geographic location as the content source. The system can deploy processing capabilities locally or use regional processing nodes that handle content within their respective jurisdictions, ensuring data remains subject to local privacy laws while maintaining processing efficiency through a unified architectural framework
4Device complexity
If all software runs on the same hardware and operating system, then system management is simplified, but very old legacy systems with legacy operating systems cannot be accessed
Solution Approach 1:
The patent implements universality by designing the content processing system to operate across multiple hardware platforms and operating systems. The architecture uses standardized interfaces and abstraction layers that allow the same processing logic to function on diverse systems including modern servers, legacy mainframes, and specialized hardware, thereby maintaining deployment simplicity while achieving broad legacy system compatibility
Data Source
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AI summary
Systems and methods that offer significant improvements to current content processing management systems for heterogeneous and widely distributed content sources are disclosed. The proposed systems and methods are configured to provide a framework and libraries of extensible components that together are designed enable creation of solutions to acquire data from one or more content repositories, possibly distributed around the world across a wide range of operating systems and hardware, process said content, and publish the resulting processed information to a search engine or other target application. The proposed embodiments offer an improved architecture that incorporates manager nodes and worker (processing) nodes, where worker nodes are configured to scan and process data, while manager nodes are configured to handle all allocation of work (including throttling) and control state and failover. Such an arrangement enables the system to perform with greater scalability and reliability.