Client-Agent-Peer Data Communication for Dynamic Content Delivery
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Solution Overview
Problem
Existing solutions for improving Internet bandwidth and reducing infrastructure costs are either too costly or unable to handle dynamic content, with proxy servers requiring extensive global deployment and peer-to-peer systems struggling with large indexes and dynamic HTTP data.
Innovation Solution
A network architecture that includes client, agent, and peer communication devices, utilizing an acceleration server to assign devices for data requests, caching responses, and enabling peer-to-peer data sharing within a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If proxy servers are deployed globally to speed up data requests, then data communication speed is improved, but infrastructure costs and device complexity increase significantly
Solution Approach 1:
The patent extracts the proxy server functionality from dedicated infrastructure and implements it as client-side software that runs on users' existing devices. This eliminates the need for expensive global proxy server deployment while maintaining the speed benefit of local caching and request optimization.
Solution Approach 2:
The system enables clients to serve themselves by caching data locally and providing requests to other clients without requiring centralized proxy servers. The acceleration server only coordinates the peer-to-peer network, allowing clients to independently handle their own data requests efficiently.
2Device complexity
If peer-to-peer systems are used to reduce infrastructure costs, then infrastructure investment is reduced, but the system cannot handle dynamic content and large indexes effectively
Solution Approach 1:
The patent implements dynamic content handling by allowing clients to generate and share customized data requests based on individual user needs. The system dynamically creates peer-to-peer connections and data routes according to real-time requirements, enabling effective handling of dynamic HTTP data and personalized content.
Solution Approach 2:
The acceleration server acts as an intermediary that coordinates between clients and manages the peer-to-peer network. It handles the complexity of indexing and routing dynamic content requests, allowing clients to focus on serving their specific needs without managing the overall system complexity.
3Adaptability or versatility
If more video content is made available on demand, then content variety is improved, but bandwidth consumption and infrastructure costs increase
Solution Approach 1:
The system performs preliminary action by caching frequently accessed video content and data on client devices before they are needed. This allows clients to access content locally without consuming bandwidth for every view, significantly reducing overall bandwidth consumption while maintaining content variety availability.
Solution Approach 2:
The patent implements a mechanism where data is discarded from central servers and recovered through peer-to-peer sharing. Once content is cached on clients, it can be reused by multiple users without requiring continuous bandwidth transmission, effectively reducing the quantity of bandwidth needed for content distribution.
Data Source
AI summary
A system designed for increasing network communication speed for users, while lowering network congestion for content owners and ISPs. The system employs network elements including an acceleration server, clients, agents, and peers, where communication requests generated by applications are intercepted by the client on the same machine. The IP address of the server in the communication request is transmitted to the acceleration server, which provides a list of agents to use for this IP address. The communication request is sent to the agents. One or more of the agents respond with a list of peers that have previously seen some or all of the content which is the response to this request (after checking whether this data is still valid). The client then downloads the data from these peers in parts and in parallel, thereby speeding up the Web transfer, releasing congestion from the Web by fetching the information from multiple sources, and relieving traffic from Web servers by offloading the data transfers from them to nearby peers.