Release-Time Prioritization for In-Transit Media Content Delivery
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional methods for updating on-board media content on transport crafts are limited, as they typically require the craft to be docked, and do not efficiently manage content delivery during transit due to network constraints.
Innovation Solution
The implementation of release-time based prioritization systems that schedule and deliver updated content to on-board media servers while the transport crafts are in transit, using a communications infrastructure to manage content delivery based on release times and network capacity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If content is updated while transport craft are docked using conventional methods, then content delivery is simple and reliable, but content update frequency is limited and productivity is reduced
Solution Approach 1:
The system performs preliminary actions by pre-processing and prioritizing content for delivery before the transport craft is available. Release-time based prioritization profiles are created in advance, and content is staged for immediate delivery upon network availability, eliminating the need to wait for docked periods.
Solution Approach 2:
The content delivery system transitions from static, scheduled updates during docked periods to dynamic, real-time delivery based on network capacity and release-time priorities. The system continuously adjusts delivery schedules and prioritization based on current network conditions and content urgency.
2Reliability
If content delivery is scheduled during transit using network capacity, then content freshness is improved, but network constraint management becomes more complex
Solution Approach 1:
The system implements feedback mechanisms where network capacity measurements and content delivery status are continuously monitored and fed back to the prioritization system. This feedback loop enables dynamic adjustment of delivery schedules and prioritization levels, ensuring reliable content delivery while adapting to changing network conditions.
Solution Approach 2:
The system changes key parameters including release-time priorities, network capacity thresholds, and delivery scheduling based on real-time conditions. By dynamically adjusting these parameters, the system maintains content availability during transit without requiring complex manual network management.
3Productivity
If manual content updates are performed by ground crew, then content delivery is simple and reliable, but time consumption increases and productivity decreases
Solution Approach 1:
The content delivery system performs self-service by automatically selecting, prioritizing, and scheduling content for delivery based on release-time profiles and network capacity. This eliminates the need for manual ground crew intervention, significantly reducing update time and improving efficiency while maintaining reliability.
4Loss of information
If content is delivered based on release-time prioritization during transit, then content freshness is improved, but scheduling complexity increases
Solution Approach 1:
The scheduling system segments content into priority levels based on release-time profiles and delivery urgency. By dividing content into distinct priority categories, the system manages scheduling complexity while ensuring that time-sensitive content is delivered first, preventing obsolescence without requiring complex holistic scheduling.
Data Source
AI summary
Approaches are described for release-time-driven (RTD) prioritization of on-board content scheduling and delivery to in-transit transport craft via communications systems. In context of a constrained network, content is scheduled to be delivered to those in-transit on-board media servers in a manner driven by respective release times and other prioritization factors associated with the updated content. Each content is associated with a RTD priority profile that can define a release time, a release priority, and a profile plot for the content. The RTD priority profiles can be used to compute priority surfaces that define priority scores over a multidimensional space for a particular time. A subset of the content can be selected for delivery based on the priority surfaces, and can be scheduled for delivery according to network capacity determinations.