Service-Based Data Transfer Engine for Content Management
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Solution Overview
Problem
In content management environments, data transfer is hindered by network latency and bandwidth issues, especially when transferring large files simultaneously across multiple users and systems, requiring efficient and reliable solutions that integrate with security measures and various interfaces.
Innovation Solution
A service-based data transfer system with a common data transfer interface using HTTP/HTTPS protocols and a client data transfer engine that breaks files into chunks for concurrent transfer, managing status and retransmissions to optimize bandwidth and reliability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If data is transferred over networked environments, then data transfer capability is enabled, but network latency increases transfer time
Solution Approach 1:
The patent divides large files into smaller chunks and transfers them concurrently through multiple threads. This segmentation reduces the impact of network latency on overall transfer time by parallelizing the transmission of multiple data segments simultaneously, thereby maintaining data transfer capability while mitigating time loss.
2Productivity
If multiple threads are used for concurrent data transfer, then bandwidth utilization is maximized, but system complexity increases
Solution Approach 1:
The patent implements a universal data transfer system that can handle multiple protocols (HTTP, HTTPS, FTP, SFTP) and various file types through a common multi-threaded architecture. This universal design maximizes bandwidth utilization across different transfer scenarios while managing system complexity through a unified, reusable framework rather than separate specialized systems.
3Reliability
If large files are transferred simultaneously by multiple users, then data availability is improved, but network congestion increases
Solution Approach 1:
The patent employs dynamic thread pool management that can adjust the number of concurrent transfer threads based on network conditions and system load. This dynamic adaptation allows the system to maintain high data availability through concurrent transfers while dynamically controlling network congestion by scaling the level of parallelism according to real-time network capacity.
Data Source
AI summary
Embodiments of a service based data transfer system are disclosed herein. Embodiments may of such a data transfer system may include a data transfer server providing a common data transfer interface such as a services interface that may be called by a client device to transfer data files to, or retrieve data files from a content management system.