Peer-Assisted Web Transfer for Faster Dynamic Content Delivery
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Solution Overview
Problem
Existing solutions for improving Internet data communication speed and bandwidth efficiency are either costly, require extensive infrastructure investment, or are unable to handle dynamically created content, leading to unsolved issues of slow user experience, high hosting costs for content owners, and increased infrastructure expenses for ISPs.
Innovation Solution
A network architecture that includes client, agent, and peer communication devices, utilizing an acceleration server to assign devices for data requests, and caching data for efficient distribution within a communication network.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional proxy servers are deployed to cache data and speed up requests, then data communication speed is improved, but capital investment and infrastructure costs increase significantly
Solution Approach 1:
The patent implements self-service by enabling peer devices to automatically cache and serve data for each other without requiring centralized proxy servers. Each peer device performs the caching function locally, eliminating the need for expensive infrastructure investment while maintaining fast data communication speeds through distributed peer-to-peer service.
Solution Approach 2:
The patent uses copying by creating distributed copies of data across multiple peer devices instead of relying on a single centralized proxy server. This allows any peer to serve cached data to others, providing redundancy and scalability without the infrastructure costs of traditional proxy deployments.
2Productivity
If centralized proxy servers are used to handle data requests, then data distribution efficiency is improved, but adaptability to dynamically created content decreases
Solution Approach 1:
The patent implements dynamics by allowing the peer-to-peer network to dynamically adapt to changing content requirements. Peers can join and leave the network, and the system automatically reconfigures data distribution paths without requiring centralized control, enabling efficient handling of dynamically created content while maintaining high distribution efficiency.
Solution Approach 2:
The patent uses segmentation by dividing the centralized proxy function into distributed segments across multiple peer devices. Each peer handles data requests independently and can adapt to dynamic content needs, providing both efficiency and flexibility that centralized systems cannot achieve.
3Loss of time
If more proxy servers are deployed globally to reduce latency, then user experience is improved, but infrastructure costs for ISPs increase
Solution Approach 1:
The patent enables users' own devices to serve as caching nodes, eliminating the need for ISPs to invest in dedicated proxy server infrastructure. Each user device performs the latency-reducing caching function locally, providing fast data transmission without imposing infrastructure costs on ISPs.
Solution Approach 2:
The patent shifts the caching infrastructure from a horizontal dimension (requiring physical proxy server deployment across the network) to a vertical dimension (utilizing existing user device resources). This transforms the problem from ISP infrastructure investment to user device utilization, reducing latency without costing ISPs additional capital.
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.