Simplified XML Real-Time Content Delivery System
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Solution Overview
Problem
Existing content publication systems fail to deliver market data in real-time to multiple subscribers reliably, often resulting in data loss due to network errors or server issues, and lack the capability to preserve critical market data until it can be delivered.
Innovation Solution
A system and method utilizing simplified XML to receive, package, and deliver real-time textual and numeric content to subscribers over the internet, employing enterprise messaging technology with a custom tag set and Transform Publish Filter engine for granular content customization, real-time permissioning, and error handling to ensure timely and reliable delivery.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If existing content publication systems store incoming data for later retrieval and dissemination, then data can be delivered to subscribers, but critical market data may be lost or dropped due to network errors or server problems
Solution Approach 1:
The system performs preliminary packaging of market data into standardized XML format with acknowledgment protocols before transmission. This preliminary action ensures data is properly formatted and ready for delivery, reducing the risk of loss during transmission.
Solution Approach 2:
The system implements acknowledgment protocols where subscribers confirm receipt of data packets. If acknowledgments are not received, the system retransmits the data, ensuring reliable delivery and preventing data loss due to network errors or server issues.
2Productivity
If existing systems retrieve data at certain intervals, then data can be processed and delivered, but real-time delivery cannot be achieved
Solution Approach 1:
The system continuously receives, packages, and transmits market data in real-time without periodic interruptions. Data flows continuously from source through the packaging system to subscribers, eliminating the delays inherent in interval-based retrieval and delivery mechanisms.
3Reliability
If existing systems deliver data without preservation capability, then data can be transmitted quickly, but data cannot be preserved if delivery fails
Solution Approach 1:
The system introduces an intermediary packaging layer that temporarily holds data in standardized XML format during transmission. This intermediary structure preserves data integrity without requiring complex backup systems, as the packaged data can be retransmitted if delivery fails.
4Adaptability or versatility
If existing systems use standardized data formats, then data can be exchanged between different platforms, but granular content customization is limited
Solution Approach 1:
The system segments market data into standardized XML elements that can be independently configured and customized. This segmentation allows granular control over content packaging while maintaining overall standardization, enabling different subscription packages with specific data elements without requiring entirely custom formats.
Data Source
AI summary
A system and method for delivering content in real-time using advanced messaging technology that reduces the risk of content being lost or dropped in transmission. The system and method utilize a custom, simplified XML format to deliver real-time textual, numeric, and metadata content directly to subscribers. The XML tag set specifies all of the information needed to package, process, and distribute real-time content messages and includes an advanced tagging structure that allows granular content customization. Messages are built on the fly using multi-channel data processing techniques. The XML delivery system and method offers an array of real-time market-specific page-based “Alert” services and aggregated newswires with accompanying real-time numeric data feeds. These feeds contain proprietary assessments and other price data across a broad spectrum of global and regional commodity markets, including oil, petrochemicals, metals, electric power, natural gas, coal, and risk.


