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A two-level cache for distributed information retrieval in search engines.

Weizhe Zhang1, Hui He1, Jianwei Ye1

  • 1School of Computer Science and Technology, Harbin Institute of Technology, P.O. Box 320, Harbin 150001, China.

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A new two-level cache structure significantly enhances distributed information retrieval performance by optimizing popular query caching. This approach improves hit rates and efficiency for search engines.

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Area of Science:

  • Computer Science
  • Information Retrieval
  • Distributed Systems

Background:

  • Distributed information retrieval systems face performance challenges.
  • Efficient caching is crucial for optimizing search engine performance.
  • Existing cache structures may not fully leverage user query patterns.

Purpose of the Study:

  • To propose and evaluate a novel two-level cache structure for distributed information retrieval.
  • To enhance search engine performance by optimizing cache data distribution and query handling.
  • To improve cache hit rates, efficiency, and reduce time consumption.

Main Methods:

  • Developed a two-level cache system comprising a static and a dynamic cache.
  • Extracted high-ranking, popular user queries from user logs for the static cache.
  • Implemented a dynamic cache to optimize the distribution of cache data.
  • Proposed a specific cache data distribution strategy.

Main Results:

  • The proposed two-level cache structure demonstrated superior performance.
  • Achieved higher hit rates compared to traditional cache structures.
  • Showcased improved efficiency in information retrieval processes.
  • Demonstrated reduced time consumption for query processing.

Conclusions:

  • The two-level cache structure offers significant advantages for distributed information retrieval.
  • Optimizing cache data distribution based on user query logs enhances search engine performance.
  • This caching strategy is effective in improving key performance metrics.