Earticle

초록

영어

It remains both important and difficult for service-oriented computing to retrieve accurately and efficiently the service components fulfilling the client’s need. This paper intends to present a method for use in retrieving the personalized service components based on Hadoop architecture. It extends the semantic ontology of service components, and proposes the methods for building and inquiring the index files based on Lucene. By utilizing the HDFS and adopting the QoS computation and personalized recommendation techniques, the working principles of Map and Reduce of Hadoop are expanded. Experiment results show that the proposed method is applicable in realizing the retrieval of service components in distributed computing environment.

목차

Abstract
 1. Introduction
 2. Index File Construction for Service Component
  2.1. Semantic Description of Service Component
  2.2. Index Building Process for Service Component
 3. Index File Construction for Service Component
  3.1. Map Process
  3.2. Reduce Process
 4. Service Component Retrieval in Hadoop Architecture
 5. Summary and Prospective Research
 References

키워드

저자

• Wen Si [ College of Information and Computer Science, Shanghai Business School, Shanghai, P. R. China ]
• Rong Tan [ College of Information and Computer Science, Shanghai Business School, Shanghai, P. R. China ]
• Lu Bing [ College of Information and Computer Science, Shanghai Business School, Shanghai, P. R. China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Database Theory and Application

• 간기

  격월간

• pISSN

  2005-4270

• 수록기간

  2008~2016

• 십진분류

  KDC 505 DDC 605