Search Result Sequencing Based on Edge-Cached Content Availability
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Solution Overview
Problem
Conventional content delivery systems fail to efficiently manage the sequencing of search results in multi-tiered architectures, leading to increased costs and resource demands as users navigate vast content libraries without considering the impact on overall viewing experience.
Innovation Solution
A system that sequences content search results by prioritizing assets stored at the network edge, using historical user activity and asset characterization to recommend content that minimizes bandwidth demand and optimizes resource usage.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If conventional content delivery systems provide access to vast content libraries without sequencing, then users can access any content, but bandwidth requirements and operational strain increase significantly
Solution Approach 1:
The system performs preliminary actions by pre-sequencing content based on edge server asset availability before user requests are processed. Search results are pre-organized to prioritize content that can be delivered from edge servers, so when users search, the system has already prepared the optimal delivery path, reducing real-time bandwidth consumption and operational strain.
2Loss of energy
If content is sequenced to prioritize edge server assets, then bandwidth requirements are reduced, but system complexity increases due to multi-tiered architecture management
Solution Approach 1:
The system implements feedback mechanisms where search result sequencing is dynamically adjusted based on real-time data about edge server asset availability. The sequencing algorithm receives feedback about what content is stored at edge servers and automatically adjusts the presentation order, allowing the system to manage complexity through automated adaptation rather than manual configuration.
3Ease of manufacture
If conventional systems treat all content selections as equally available, then implementation is simple, but user experience deteriorates as users cannot anticipate delivery impact
Solution Approach 1:
The system applies local quality by differentiating content presentation based on delivery location. Instead of treating all content uniformly, the system sequences search results according to where the content is stored (edge server vs. central server), providing locally optimized delivery paths. This creates a differentiated user experience where content availability and delivery speed are optimized based on the specific edge server's asset inventory.
Data Source
AI summary
Systems and methods for generating and receiving a sequenced listing of pieces of content are described. A request to search for assets may be received. A first listing of assets associated with the request may be received. Data representative of assets stored within an edge server associated with the user may be received. A first group of assets of the plurality of assets that are stored within the edge server based upon the received data representative of assets stored within the edge server and a second group of assets of the plurality of assets that are not stored within the edge server based upon the received data representative of assets stored within the edge server may be determined. A second listing of assets may be generated where the first group of assets is sequenced earlier in the second listing than the second group of assets.