P2P Network Bandwidth Managing Scheme Automation
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Solution Overview
Problem
Existing P2P network schemes rely on personal analysis and manual execution for resource pushing decisions, which is inefficient and skill-dependent, lacking automation in bandwidth management.
Innovation Solution
A method and apparatus for automatically generating P2P network schemes by obtaining predicted data, determining a bandwidth managing scheme based on corresponding relationships, and executing it to manage bandwidth, thereby reducing personal analysis and execution processes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If manual personal analysis and execution are used for P2P resource pushing decisions, then flexibility and adaptability are maintained, but efficiency and productivity are reduced
Solution Approach 1:
The system enables self-service by allowing the bandwidth management system to automatically analyze network data, generate pushing schemes, and execute resource distribution decisions without human intervention. The system serves itself by using its own collected data to make autonomous decisions about resource pushing timing and targets.
Solution Approach 2:
The patent replaces the mechanical manual analysis and decision-making process with an automated computational system. Instead of human operators manually analyzing network conditions and making pushing decisions, the system uses data analysis modules and scheme generation algorithms to automatically substitute human mechanical processes with automated electronic decision-making.
2Speed
If server bandwidth is increased to provide faster downloading speeds, then downloading speed is improved, but bandwidth cost and resource consumption increase
Solution Approach 1:
The system performs preliminary actions by pushing resources to P2P nodes before the actual download demand occurs. The bandwidth management system analyzes predicted download patterns and proactively distributes resources to potential downloaders in advance, so when download requests arrive, the resources are already available in the P2P network, eliminating the need for increased server bandwidth during peak download times.
Solution Approach 2:
The patent introduces P2P nodes as intermediaries between the server and end users. Instead of direct server-to-user downloads that consume server bandwidth, the system uses P2P nodes as intermediate distribution points that have already received resources through pushing. These intermediaries then share resources with other users, reducing direct server bandwidth consumption while maintaining high download speeds.
3Loss of energy
If P2P pushing is implemented to save server bandwidth, then bandwidth cost is reduced, but decision-making complexity and scheme generation difficulty increase
Solution Approach 1:
The patent segments the complex bandwidth management task into distinct functional modules: data collection module, data analysis module, scheme generation module, and execution module. Each module handles a specific aspect of the pushing decision process, breaking down the overall complexity into manageable, specialized components that can be developed and maintained independently.
Solution Approach 2:
The system manages complexity by changing and optimizing key parameters such as pushing timing, target node selection, and resource priority levels. The scheme generation module adjusts these parameters based on analyzed network conditions and download patterns, transforming complex qualitative decisions into quantifiable parameter optimizations that can be systematically managed.
Data Source
AI summary
Various embodiments provide methods, apparatus, and systems for generating P2P network schemes. In an exemplary method for generating a P2P network scheme, predicted data can be obtained and used to determine a bandwidth managing scheme of the predicted data, based on a corresponding relationship between predicted data and bandwidth managing schemes. The bandwidth managing scheme can be executed and be used to automatically determine schemes, e.g., for pushing resources into the P2P network.


