Earticle

초록

영어

Data-intensive applications, such as data mining and data visualization, need to deal with huge amount of data. Service-oriented architecture, on the other hand, offers a scalable and flexible framework to implement loosely-coupled and standards-based distribute computing which the data-intensive applications usually require. In this paper, we apply four kinds of data-flow constructs, namely Map Construct, Reduce Construct, Conditional Construct and Loop Construct, to assist Web services composition to process huge volume of data. Furthermore, we put forward the approach to the composition of Web services based on the I/O operation ratio, in which the CPU intensive Web services and the I/O intensive ones are arranged to execute in parallel as far as possible. A case is presented finally to show that our approaches are feasible and effective.

목차

Abstract
 1. Introduction
 2. Related Work
 3. Service Composition with Data-flow Constructs
  3.1. Map Construct
  3.2. Reduce Construct
  3.3. Conditional Construct
  3.4. Loop Construct
 4. Parallel Web Services Based on I/O Operation Ratio
 5. Case Studies
 6. Conclusion
 Acknowledgments
 References

키워드

저자

• Dongjin Yu [ School of Computer, Hangzhou Dianzi University, Hangzhou, China ]
• Qi Zhu [ School of Computer, Hangzhou Dianzi University, Hangzhou, China ]
• Jianhua Shao [ Zhejiang Topcheer Information Technology Co., Ltd, Hangzhou, China, Zhejiang Provincial Key Laboratory of Network Technology and Information Security ]
• Chang Li [ School of Computer, Hangzhou Dianzi University, Hangzhou, China ]
• Youwei Yuan [ School of Computer, Hangzhou Dianzi University, Hangzhou, China ]
• Wanqing Li [ School of Computer, Hangzhou Dianzi University, Hangzhou, 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