Peer-Assisted Web Data Delivery for Dynamic Content Acceleration
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Solution Overview
Problem
Existing solutions for enhancing Internet bandwidth are costly and do not address the need for a system that can efficiently handle the dynamic content delivery and do not provide a scalable solution for the delivery of content delivery, and the need for a system that can handle dynamic content delivery without the need for large infrastructure investments.
Innovation Solution
A network system that includes client, agent, and peer communication devices, with an acceleration server managing assignments, and a communication device with a processor and memory for managing data requests and responses, enabling efficient data communication.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional proxy servers are deployed to cache content and speed up requests, then data communication speed is improved, but infrastructure costs and device complexity increase significantly
Solution Approach 1:
The system enables peer devices to automatically serve content to each other without requiring centralized proxy servers. Each peer device that has downloaded content can directly transmit it to other peers requesting the same content, eliminating the need for complex proxy infrastructure while maintaining fast data communication speeds
Solution Approach 2:
Instead of using a centralized proxy server that replicates content, the system allows multiple peer devices to independently store and serve copies of the same content. This distributed copying approach eliminates the need for expensive proxy infrastructure while providing fast content delivery through multiple simultaneous copies
2Productivity
If content is stored on proxy servers to reduce bandwidth costs, then content delivery efficiency is improved, but the system cannot handle dynamic content effectively
Solution Approach 1:
The system dynamically assigns roles (client, agent, or peer) to devices based on real-time network conditions and content characteristics. This dynamic role assignment allows the system to adapt to both static and dynamic content delivery requirements, with devices switching roles as needed to optimize content delivery efficiency while handling dynamic content
3Quantity of substance
If the Internet infrastructure is expanded to handle increased traffic, then bandwidth capacity is improved, but infrastructure costs increase at tremendous financial expense
Solution Approach 1:
The system introduces an intermediary layer of peer devices that voluntarily participate in content sharing. These peer devices act as distributed intermediaries that reduce the burden on traditional ISP infrastructure by directly sharing content with each other, thereby increasing effective bandwidth capacity without requiring expensive infrastructure expansion
Solution Approach 2:
The system enables existing peer devices to serve multiple functions: they act as both content consumers and content distributors, and can dynamically switch between client, agent, and peer roles. This multi-functionality allows the system to expand effective bandwidth capacity by utilizing existing devices rather than requiring dedicated infrastructure expansion
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.