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 fail to handle dynamic content effectively, leading to unsolved issues of slow user experience, high content distribution costs, and increased ISP infrastructure expenses.
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 distributing data chunks among peers, optimizing data transfer without extensive hardware costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If traditional proxy servers are deployed to cache and serve content locally, then data communication speed for users is improved, but infrastructure costs and device complexity increase significantly
Solution Approach 1:
The system enables end-user devices to serve each other by storing and sharing content locally. Users' devices act as both clients and servers, eliminating the need for expensive centralized proxy infrastructure. The peer-to-peer architecture allows the network to serve itself through distributed storage and retrieval operations.
Solution Approach 2:
The invention transitions from a centralized hierarchical model (clients → proxies → servers) to a distributed peer-to-peer model where any device can directly access content from any other device. This dimensional shift from centralized to distributed architecture reduces infrastructure complexity while maintaining or improving access speed.
2Reliability
If content is stored and served through centralized servers, then content availability is ensured, but bandwidth costs and infrastructure expenses increase
Solution Approach 1:
The system segments content storage and delivery across multiple peer devices rather than concentrating it at centralized servers. Content is divided into manageable units that can be stored and served independently by different peers, reducing the bandwidth burden on any single infrastructure point while maintaining content availability.
Solution Approach 2:
Instead of relying on a single centralized copy of content, the system creates multiple distributed copies across peer devices. This replication strategy ensures content availability through redundancy while reducing overall bandwidth consumption by allowing local retrieval from multiple sources rather than relying on centralized bandwidth capacity.
3Adaptability or versatility
If dynamic content is generated per user session, then user experience is customized, but content caching and distribution become impossible
Solution Approach 1:
The system dynamically adapts content selection based on user behavior patterns and preferences while maintaining efficient distribution. The peer-to-peer network can dynamically route requests to appropriate peers based on real-time conditions, and content can be dynamically generated or selected without requiring centralized caching, thus accommodating customization without sacrificing distribution efficiency.
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.