Parallel Data Streaming with Interactive Ticker Display
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Solution Overview
Problem
Current technologies are inefficient in parsing and delivering multiple Internet data sources to mobile devices in real time, as they primarily rely on static snapshots and manual interaction, failing to provide an organized and understandable display of live data feeds from multiple sources.
Innovation Solution
A method for highly efficient and parallel data transfer and display involves compiling multiple data streams from various Internet sources onto a central server, parsing and compressing data chunks according to user preferences, and asynchronously streaming them to mobile devices for real-time display, with features like event alerts and interactive ticker displays.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If static snapshot display with manual interaction is used, then device complexity is reduced, but information delivery efficiency deteriorates
Solution Approach 1:
A server acts as an intermediary between multiple Internet data sources and the mobile device, consolidating and managing data streams. The server receives data from multiple sources, processes it according to user preferences, and delivers it to the device, thereby improving information delivery efficiency without significantly increasing device complexity.
Solution Approach 2:
The system segments data from multiple Internet sources into separate data streams, each processed and displayed independently in the ticker display. This allows efficient parallel processing of multiple data sources while maintaining manageable system complexity through modular architecture.
2Loss of information
If multiple data streams are compiled and displayed in real-time, then information completeness is improved, but data processing complexity deteriorates
Solution Approach 1:
User preferences and filtering criteria are pre-configured before data arrival. The server uses these pre-set parameters to automatically filter, prioritize, and organize incoming data streams, reducing real-time processing complexity while ensuring complete and relevant information delivery.
Solution Approach 2:
The system changes data parameters by transforming raw data into formatted ticker display entries based on user-defined preferences. Data is reorganized, compressed, and prioritized according to configurable parameters, managing processing complexity while maintaining information completeness.
3Ease of operation
If parallax scrolling is used to navigate data, then ease of operation is maintained, but information accessibility deteriorates
Solution Approach 1:
The system transitions from vertical scrolling (single dimension) to a horizontal ticker display format (another dimension). Multiple data streams are displayed horizontally in a scrolling ticker, allowing users to access information from multiple sources simultaneously without requiring deep vertical scrolling, thereby improving information accessibility while maintaining ease of operation.
4Loss of time
If live data streaming from multiple sources is implemented, then information freshness is improved, but data transfer volume deteriorates
Solution Approach 1:
The server extracts only the essential and relevant portions of data from multiple Internet sources based on user preferences. Instead of transmitting complete data streams, the system extracts key information elements, formats them for ticker display, and transmits only this processed content, reducing data transfer volume while maintaining information freshness.
Solution Approach 2:
The system transmits partial data - only the most relevant portions of each data stream that meet user-defined criteria. This selective transmission approach reduces overall data volume while ensuring that the most important information is delivered in real-time, balancing freshness with efficiency.
Data Source
AI summary
A method for highly efficient and parallel data transfer and display with event alerting includes employing an aggregation server to receive and filter multiple Internet data feeds, including an event list, streaming each Internet data feed to an input device as a streamed data segment, displaying each data segment in an interactive stacked ticker display on the remote computing device, determining a location of the input device, displaying an event alert in the interactive stacked ticker display if the input device location comes within a threshold distance of an event location, and enabling a user to purchase tickets to the event corresponding to the event alert.