Web Pages Search Engine Based on DNS

Title: Web Pages Search Engine Based on DNS

Abstract: This research proposes a new search engine architecture based on the Domain Name System (DNS). The goal is to improve the coverage and recency of search results while reducing network traffic. The system uses a distributed hierarchical architecture similar to DNS, with each organization responsible for indexing and updating their own web pages. This approach allows for more efficient updates and better results for users.

Main Research Question: Can a search engine based on DNS improve the coverage and recency of search results while reducing network traffic?

Methodology: The research team developed a new search engine architecture that uses the DNS as a model. The system is divided into three layers: local networks, sub-Internets of a country, and each country. Each layer is responsible for indexing and updating its own web pages. The team tested the system's performance and compared it to existing search engines.

Results: The research showed that the new search engine based on DNS significantly improved the coverage and recency of search results. The system was able to index and update web pages more efficiently than existing search engines, reducing network traffic and improving user experience.

Implications: The research suggests that a search engine based on DNS can be an effective solution to the problems faced by existing search engines, such as poor coverage, outdated results, and high network traffic. This approach could lead to more accurate and timely search results for users.

Keywords: search engine, domain, information retrieval, distributed system, Web-based service, information network

Link to Article: https://arxiv.org/abs/0403035v1 Authors: arXiv ID: 0403035v1