Activity Client for Distributed Entertainment Asset Management
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Solution Overview
Problem
Current distributed entertainment systems face challenges in managing resources and assets across a nationwide network, including network overload, memory limitations in computing devices, varying device models, and differing state laws, which affect the timely delivery of necessary data for interactive events.
Innovation Solution
The implementation of an 'Activity Client' on computing devices, which manages activity information and data, prioritizes asset delivery by distinguishing between necessary and preferred assets, and ensures geographic-specific scheduling, allowing only required components to be downloaded efficiently before events, thereby optimizing device preparation and compliance with state laws.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all necessary data and assets are downloaded to computing devices before events, then users can access complete activity information, but network traffic increases and network overload occurs
Solution Approach 1:
The patent extracts and separates necessary data from the complete asset package, downloading only essential information (event schedules, activity details, geographic-specific content) to computing devices while leaving less critical assets on the server. This selective extraction reduces network traffic while ensuring data availability for event participation.
Solution Approach 2:
The patent segments data and assets into hierarchical categories (essential event information, activity-specific data, supplementary assets) and downloads only the necessary segments to computing devices. This segmentation allows the system to maintain data availability while minimizing network traffic by transmitting only the required portions of the complete dataset.
2Reliability
If complete asset packages are downloaded to computing devices, then all necessary components are available for events, but device memory is exceeded
Solution Approach 1:
The patent extracts only the necessary assets and data required for specific events and activities, excluding supplementary or optional components from the download package. This ensures that computing devices have sufficient memory while maintaining asset completeness for event participation.
Solution Approach 2:
The patent segments the complete asset package into essential components (event schedules, activity instructions, geographic-specific data) and non-essential components, downloading only the essential segments to computing devices. This segmentation prevents memory overflow while ensuring all necessary assets are available.
3Loss of time
If data is downloaded in advance to ensure timely access, then users can participate in events on time, but network congestion increases
Solution Approach 1:
The patent extracts and downloads only the critical data needed for timely event participation (event schedules, activity details, geographic-specific information) rather than complete asset packages. This extraction approach ensures users can access necessary information in time for events while minimizing network traffic and congestion.
Solution Approach 2:
The patent applies partial action by downloading only the sufficient portion of data and assets needed for event participation, rather than downloading the complete package. This partial download ensures timely access to necessary information while reducing network traffic to avoid congestion.
4Adaptability or versatility
If the system supports multiple device models and protocols, then compatibility is improved, but system complexity increases
Solution Approach 1:
The patent implements a universal data format and communication protocol that can be used across multiple device models and platforms. This universal approach allows the system to support diverse computing devices without requiring separate implementation for each device type, thereby maintaining compatibility while avoiding excessive system complexity.
Solution Approach 2:
The patent uses parameter changes to adapt data and assets for different device models and protocols, modifying only the necessary parameters (resolution, format, protocol specifications) while maintaining the core data structure. This approach improves device compatibility without significantly increasing system complexity.
Data Source
AI summary
A method of and system for enabling a distributed entertainment system over a computing device is described herein. When implementing a distributed entertainment system wherein the entertainment system is directly correlated to live events or televised programs, there are a number of issues that must be addressed such as differing timing and channels of television programs and separate state laws. Furthermore, there are a plethora of varying computing device models possibly requiring model-specific software. An “Activity Client” is provided to handle such concerns. Furthermore, since time is of the essence for activities based on live or televised events, it is necessary to ensure a computing device is able to receive the necessary updates for the program before the event begins. By providing only the needed components instead of entire data packages, the present invention is able to much more efficiently prepare users' computing devices in time.


