Peer-Assisted HTTP Data Transfer for Dynamic Content Acceleration
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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 communication network architecture where devices can function as clients, peers, or agents, utilizing an acceleration server to assign devices for data requests, caching responses, and sharing data among peers to optimize data transfer.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If proxy servers are deployed to cache and serve data locally, then data communication speed is improved, but infrastructure cost and deployment complexity increase significantly
Solution Approach 1:
The patent enables ordinary network devices (clients, servers, routers) to automatically function as content distribution nodes without specialized infrastructure. Devices self-organize into a distributed network where any device can cache and serve content to others, eliminating the need for complex proxy server deployment while maintaining fast local data access.
Solution Approach 2:
The invention makes all network devices universal content distribution nodes. Any client, server, or router can simultaneously serve its original function and act as a content cache for other devices. This multi-functionality replaces the need for dedicated proxy servers, reducing infrastructure complexity while improving data communication speed.
2Device complexity
If peer-to-peer systems are used for data distribution, then infrastructure cost is reduced, but the system cannot effectively handle large indexes and dynamic HTTP data
Solution Approach 1:
The patent implements a dynamic content distribution system where content routing and caching decisions are made in real-time based on current network conditions and device capabilities. The system adapts to dynamic HTTP data and large indexes by continuously updating distribution paths and cache locations, allowing peer-to-peer infrastructure to handle complex dynamic content effectively.
3Productivity
If more video content is made available on demand, then user satisfaction is improved, but bandwidth consumption and network congestion increase
Solution Approach 1:
The system performs preliminary content caching at distributed network devices before actual consumption occurs. By pre-positioning content in local caches and using prediction algorithms to anticipate user requests, the system reduces real-time bandwidth consumption while maintaining extensive content availability on demand.
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.