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
WP2PLearning routing methodsUser 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 ]
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 505DDC 605
이 권호 내 다른 논문 / International Journal of Advanced Science and Technology Vol.53