Web search engine based on DNS
Wang Liang, Guo YiPing, Fang Ming

TL;DR
This paper proposes a DNS-based web search engine with a hierarchical distributed architecture that aims to cover all web pages and significantly reduce update intervals, addressing key limitations of existing search engines.
Contribution
It introduces a novel DNS-based architecture for web search engines, enabling comprehensive coverage and rapid updates unlike traditional systems.
Findings
The system can theoretically cover all web pages.
It can achieve update intervals as short as one day.
The hierarchical distributed architecture differs from current commercial engines.
Abstract
Now no web search engine can cover more than 60 percent of all the pages on Internet. The update interval of most pages database is almost one month. This condition hasn't changed for many years. Converge and recency problems have become the bottleneck problem of current web search engine. To solve these problems, a new system, search engine based on DNS is proposed in this paper. This system adopts the hierarchical distributed architecture like DNS, which is different from any current commercial search engine. In theory, this system can cover all the web pages on Internet. Its update interval could even be one day. The original idea, detailed content and implementation of this system all are introduced in this paper.
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Taxonomy
TopicsWeb Data Mining and Analysis · Caching and Content Delivery · Data Management and Algorithms
