ECM Content Handler for Bulk Transfer Across Repositories
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Solution Overview
Problem
Existing content transfer tools for Enterprise Content Management (ECM) systems are limited by proprietary formats, lack control capabilities, and are not reusable, making it difficult to transfer large volumes of data across different vendor repositories, restricting flexibility and scalability.
Innovation Solution
A content handler with a thread-based architecture that allows for simultaneous, controlled import and export of digital content across multiple ECM systems, enabling batch transfer, rate control, and load balancing, and is reusable across various repository technologies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If proprietary content transfer tools are used, then content can be transferred within the same vendor's repository, but the content cannot be easily moved to another vendor's repository due to format limitations
Solution Approach 1:
The content transfer tool is designed with a universal architecture that can handle multiple vendor repository formats through configurable adapters and protocols. The system implements a standardized interface layer that abstracts vendor-specific proprietary formats, enabling the same tool to transfer content across different ECM vendors without requiring custom development for each vendor pair.
Solution Approach 2:
The invention introduces an intermediary transfer mechanism that acts as a mediator between source and target repositories of different vendors. This intermediary layer handles format conversion, protocol translation, and data mapping, allowing content to be transferred between incompatible proprietary systems without direct vendor-specific tooling.
2Ease of operation
If custom-written import/export utilities are used, then content transfer is possible, but the tools lack control capabilities for batch-volume management and dynamic rate adjustment
Solution Approach 1:
The content transfer tool implements dynamic control mechanisms that allow runtime adjustment of transfer parameters including rate, volume, and priority. The system can dynamically pause, resume, and modify transfer operations based on system conditions, queue depth, and performance metrics, enabling operators to optimize throughput while maintaining control over batch operations.
Solution Approach 2:
The invention incorporates feedback mechanisms that monitor transfer progress, system load, and performance metrics in real-time. This feedback is used to automatically adjust transfer rates, prioritize operations, and provide operators with actionable insights for optimizing content migration while preventing system overload.
3Productivity
If conventional import/export tools are used, then limited content transfer is possible, but the tools cannot transfer significant amounts of content at high transfer rates
Solution Approach 1:
The content transfer system segments large-volume transfers into manageable batches and parallel streams. The architecture divides the transfer workload across multiple concurrent operations, each handling a portion of the total content volume, thereby achieving high aggregate throughput while maintaining control over individual transfer operations and preventing system resource exhaustion.
Solution Approach 2:
The invention merges multiple transfer operations into a coordinated unified process that achieves high throughput. By combining parallel transfer streams, optimizing I/O operations, and consolidating resource utilization, the system achieves significant content transfer rates that exceed the capability of individual conventional tools while maintaining reliability.
Data Source
AI summary
An apparatus, and an associated method, for facilitating bulk transfer of large volumes of data-center, ECM repository-stored content. Multiple, simultaneous threads or tasks are concurrently run both to import and to export content, as desired. A controller controls the running of the tasks and is connected to a thread container that runs the tasks by way of a TCP/IP socket or other suitable communication connection.