원문정보
보안공학연구지원센터(IJDTA)
International Journal of Database Theory and Application
Vol.9 No.10
2016.10
pp.327-336
피인용수 : 0건 (자료제공 : 네이버학술정보)
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
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
저자정보
참고문헌
자료제공 : 네이버학술정보