Earticle

초록

영어

Because of the fast growing volume of web documents during the past decades, the efficiency of the web search engine has become more crucial than ever. Such efficiency can be estimated with both factors of the query relevance of search results answered and the financial cost for query processing. Between them, the ways for improving query relevance of web searches have been intensively studied in the research topics like hyperlink-based ranking, topic-sensitive document classifications, and semantic-awareness in rank evaluations. However, there have been not studies that provide an efficient solution to cut the financial cost of query processing, while retaining high query relevance. In this light, we propose a distributed cache scheme and a server-clustering technique that can be used to reduce the query processing cost. With the help of such techniques for accelerating the web query processing, we saved around 70% of the server cost of a commercial web search engine implemented in South Korea. We believe that our experiences can give a valuable insight to anyone who wants to develop a large-scale search engine.

목차

Abstract
 1. Introduction
 2. System Overview
 3. Scheme for Accelerating Query Processing
  3.1. Basic Ideas
  3.2. Algorithm for Cache Management
 4. Performance Analysis
 5. Conclusion
 References

키워드

저자

• Sungchae Lim [ Dept. of Computer Science, Dongduk Women’s University ]
• Chang-Sup Park [ Dept. of Computer Science, Dongduk Women’s University ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Software Engineering and Its Applications

• 간기

  월간

• pISSN

  1738-9984

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605