Dynamic Buffer Management for P2P Streaming Synchronization
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Solution Overview
Problem
In peer-to-peer (P2P) based streaming services, maintaining synchronization between peers and a server is challenging due to varying network conditions, leading to a decrease in data packet sharing ratios.
Innovation Solution
A system and method for managing buffering, which includes dynamically adjusting the size of buffers to store data stream pieces based on network conditions, using a first buffer for storing incoming pieces and a second buffer for outputting pieces for playback, and transmitting buffered pieces between peer clients to maintain synchronization and increase sharing ratios.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If buffering is not managed in P2P streaming, then network bandwidth is utilized efficiently, but synchronization between peers deteriorates due to varying network conditions
Solution Approach 1:
The patent implements dynamic buffer management where the buffer controller continuously monitors playback status and network conditions, adjusting buffer operations in real-time. The buffer size and timing are dynamically adapted to maintain synchronization despite varying network conditions, resolving the contradiction between reliability and static complexity.
Solution Approach 2:
Each peer client autonomously manages its own buffering without requiring complex centralized coordination. The local buffer controller independently regulates data reception, storage, and playback timing based on local playback status, simplifying the overall system while maintaining synchronization reliability.
2Reliability
If data pieces are transmitted immediately without buffering, then playback latency is reduced, but sharing ratio of data packets decreases due to synchronization failures
Solution Approach 1:
The system performs preliminary buffering of incoming data pieces before playback. The buffer stores data in advance, allowing peers to share pre-buffered pieces with other peers even before they are played back locally, thereby increasing sharing ratio without significantly impacting user-perceived latency.
Solution Approach 2:
The buffer holds more data pieces than the minimum required for continuous playback. This excessive buffering ensures that sufficient data is available for sharing with other peers during synchronization events, improving the sharing ratio while maintaining acceptable playback timing.
3Reliability
If buffer size is increased to maintain synchronization, then data packet sharing ratio improves, but memory usage increases
Solution Approach 1:
The buffer size is dynamically adjusted based on actual playback status and network conditions rather than being fixed at a large value. The buffer controller monitors synchronization status and expands or contracts buffer capacity accordingly, maintaining reliable synchronization while optimizing memory utilization.
Solution Approach 2:
The system changes buffer parameters (size, timing, retention duration) adaptively based on operational conditions. When synchronization is stable, buffer size is reduced; when network variability increases, buffer size is expanded. This parameter adaptation maintains reliability while minimizing average memory usage.
Data Source
AI summary
A system to manage a buffering of a data stream for a peer client in a peer-to-peer based streaming service includes a buffering control unit including a processor configured to control pieces of the data stream to be buffered in a first buffer of the peer client, and to control one or more outputted pieces to be buffered in a second buffer of the peer client, the outputted pieces being outputted from the first buffer for play back of the data stream. A method for managing a buffering includes storing pieces of the data stream in a first buffer; storing one or more outputted pieces of the data stream in a second buffer; and transmitting one or more pieces stored in the first buffer or the second buffer.


