Hybrid Cloud-Local DVR Conflict Resolution
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Solution Overview
Problem
Conventional DVR systems face recording conflicts due to hardware and service limitations, requiring users to manually cancel or delete recordings, which is time-consuming and disruptive.
Innovation Solution
A hybrid cloud-local DVR system that includes a cloud-based service provider system remotely managing a local DVR system, automatically resolving conflicts by prioritizing recordings and storage based on user preferences and system limitations, allowing for automated cancellation or deletion of lower-priority recordings to facilitate scheduled recordings.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional DVR systems implement maximum recording limitations based on hardware and service agreements, then the system can maintain stable operation within resource constraints, but the system cannot record additional media programs when conflicts occur, requiring user intervention
Solution Approach 1:
The system automatically detects recording conflicts and resolves them by identifying and canceling lower-priority scheduled recordings without requiring user intervention. The conflict resolution mechanism autonomously manages recording priorities based on user preferences and system constraints, allowing the system to serve itself in resolving conflicts.
Solution Approach 2:
The system performs preliminary conflict detection when a user attempts to schedule a new recording. Before the recording conflict actually occurs, the system proactively identifies the conflict and automatically resolves it by canceling appropriate lower-priority recordings, ensuring the new recording can proceed without interruption.
2Ease of operation
If the DVR system automatically resolves recording conflicts by canceling lower-priority recordings, then recording conflicts are resolved without user intervention, but the system requires complex conflict detection and resolution mechanisms
Solution Approach 1:
The system continuously monitors scheduled recordings and maintains a priority database that reflects user preferences and recording importance. When conflicts are detected, the system queries this database to determine which recordings have lower priority and should be canceled, using feedback from user behavior patterns to make intelligent resolution decisions.
Solution Approach 2:
The system introduces a cloud-based service provider as an intermediary that manages the conflict resolution logic. The local DVR system communicates recording schedules and conflicts to the cloud service, which performs the prioritization analysis and returns resolution decisions, distributing the computational complexity away from the local device.
3Speed
If the DVR system stores media programs locally with limited storage capacity, then the system can provide fast local access to recordings, but the system cannot accommodate additional recordings when storage space is full
Solution Approach 1:
The system transitions from a single-dimension local storage model to a multi-dimensional storage architecture that combines local DVR storage with cloud-based storage. When local storage is full, the system can offload recordings to the cloud, effectively adding a second storage dimension and expanding total capacity while maintaining fast local access for frequently watched content.
Data Source
AI summary
An exemplary method includes a cloud-based service provider system detecting an input command provided by a user during a scheduling session and representative of a request for a local digital video recording (“DVR”) system to record a media program during a presentation time period. In response to the detecting of the input command, the cloud-based service provider system identifies a conflict associated with the request for the local DVR system to record the media program, performs a prioritization operation to determine a relative priority of media programs that are at least one of scheduled to be recorded by the local DVR system at any given time during the presentation time period and currently recorded in a memory of the local DVR system, and automatically performs, based on the performing of the prioritization operation, a predetermined action to resolve the conflict and facilitate the local DVR system recording the media program.