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An Efficient Learning Query Routing Method for Unstructured P2P Systems

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJAST) 바로가기
  • 간행물
    International Journal of Advanced Science and Technology 바로가기
  • 통권
    Vol.53 (2013.04)바로가기
  • 페이지
    pp.61-72
  • 저자
    Taoufik Yeferny, Khedija Arour, Amel Bouzeghoub
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A206909

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원문정보

초록

영어
In unstructured P2P systems, peers organize themselves into a random overlay. A challenging problem in these systems is to efficiently locate appropriate peers to answer a specific query. This paper proposes a semantic method in , which a query can be routed for appropriate peers instead of broadcasting or using random selection. This semantic is generally built from the contents of the peers, but can also bring in the implicit behavior of the users. The main objective of our method is to achieve better results in non-supervised tasks through the incorporation of usage data obtained from past search queries. This type of method allows us to discover the motivations of users when visiting a certain documents and peers. The terms used in past queries can provide a better choice of features queries. Hence, for each peer, our method learns from past queries to represent correlation between sent queries terms and related peers. We implemented the proposed method, and compared its routing effectiveness in terms of both recall and messages traffic with a broadcasting scheme (without learning). Experimental results show that our method is efficient and performs better than other non-semantic query routing methods with respect to accuracy. In addition, our approach improves the recall rate nearly 90% while reducing message traffic dramatically compared with Gnutella protocol.

목차

Abstract
 1. Introduction
 2. Overview of query routing in P2P systems
 3. Synthesis on routing methods
 4. Proposed method
  4.1. Global Architecture
  4.2. Management log file module
  4.3. Management profiles Module
  4.4. Queries spreading module
 5. Experiments
  5.1. Environment
  5.2. Integration
  5.3. Data source characteristics
  5.4. Evaluation measures
  5.5. Initial parameters of simulation
  5.6. Results
 6. Conclusion and Future Works
 References

키워드

WP2P Learning routing methods User profile.

저자

  • Taoufik Yeferny [ Dept. of Computer Science Faculty of Sciences of Tunis, Tunisia MOSIC Research Group ]
  • Khedija Arour [ Dept. of Computer Science National Institute of Applied Sciences and Technology of Tunis ]
  • Amel Bouzeghoub [ Dept. of Computer Science Telecom SudParis, France SAMOVAR CNRS LAB ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJAST) [Science & Engineering Research Support Center, Republic of Korea(IJAST)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Advanced Science and Technology
  • 간기
    월간
  • pISSN
    2005-4238
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

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