Tunnel Node Content Slicing for Congestion-Resilient Web Delivery
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Solution Overview
Problem
Current internet communication systems face inefficiencies due to network congestion, traffic load balancing, and unpredictable network behavior, leading to issues like packet loss, duplication, and out-of-order delivery, which existing protocols like TCP/IP struggle to address effectively.
Innovation Solution
Implementing intermediate nodes that function both as end-users and intermediate nodes to enhance communication by optimizing TCP/IP protocols, specifically through improved packet routing and error handling mechanisms, enabling more efficient data transfer and reduced network congestion.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If TCP/IP protocols are used for internet communication, then reliable data delivery is achieved, but network congestion and packet loss occur due to unpredictable network behavior
Solution Approach 1:
The patent introduces intermediate nodes (gateway devices) that act as mediators between end devices and the network. These nodes perform functions including: caching data from remote servers, predicting client requests using machine learning models, and proactively pushing predicted data to clients before requests are made. This intermediary layer reduces actual network traffic by serving data locally, thereby maintaining reliability while improving communication efficiency and reducing congestion.
Solution Approach 2:
The system performs preliminary actions by predicting client data requests before they occur. Machine learning models analyze client behavior patterns to anticipate which data will be requested, cache this predicted data in advance at intermediate nodes, and prepare it for immediate delivery. This preliminary caching and prediction approach reduces latency and network traffic when actual requests are made, improving overall network efficiency while maintaining data delivery reliability.
2Productivity
If intermediate nodes are added to optimize communication, then network congestion is reduced, but system complexity increases
Solution Approach 1:
The patent designs intermediate nodes with multi-functional capabilities to handle diverse tasks within a single system component. These nodes simultaneously perform: data caching, machine learning-based prediction, client behavior analysis, data compression, and intelligent routing. By consolidating multiple functions into universal intermediate nodes rather than separate specialized components, the system reduces overall architectural complexity while achieving congestion reduction and efficiency improvement.
Data Source
AI summary
A method for fetching a content from a web server to a client device is disclosed, using tunnel devices serving as intermediate devices. The client device accesses an acceleration server to receive a list of available tunnel devices. The requested content is partitioned into slices, and the client device sends a request for the slices to the available tunnel devices. The tunnel devices in turn fetch the slices from the data server, and send the slices to the client device, where the content is reconstructed from the received slices. A client device may also serve as a tunnel device, serving as an intermediate device to other client devices. Similarly, a tunnel device may also serve as a client device for fetching content from a data server. The selection of tunnel devices to be used by a client device may be in the acceleration server, in the client device, or in both. The partition into slices may be overlapping or non-overlapping, and the same slice (or the whole content) may be fetched via multiple tunnel devices.