Business-oriented service modeling: A case study

IF 3.5 2区计算机科学 Q2 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS

Simulation Modelling Practice and Theory Pub Date : 2009-09-01 DOI:10.1016/j.simpat.2009.06.011

Yanbo Han , Jing Wang , Peng Zhang

引用次数: 12

Abstract

Based on our hand-on experiences in developing a service-based problem-solving environment for bioinformatics research, we present in this paper a particular approach called VINCA4Science to business-oriented modeling of service functionalities, to Web services virtualization and to user-centric utilization of modeled artifacts. Some practical effects regarding the improvement of domain stability, efficiency and scalability are illustrated.

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面向业务的服务建模:一个案例研究

基于我们为生物信息学研究开发基于服务的问题解决环境的实践经验，我们在本文中提出了一种称为VINCA4Science的特定方法，用于面向业务的服务功能建模、Web服务虚拟化和以用户为中心的建模工件的利用。并举例说明了在提高域稳定性、效率和可扩展性方面的一些实际效果。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Simulation Modelling Practice and Theory 工程技术-计算机：跨学科应用

CiteScore

9.80

自引率

4.80%

发文量

142

审稿时长

21 days

期刊介绍： The journal Simulation Modelling Practice and Theory provides a forum for original, high-quality papers dealing with any aspect of systems simulation and modelling. The journal aims at being a reference and a powerful tool to all those professionally active and/or interested in the methods and applications of simulation. Submitted papers will be peer reviewed and must significantly contribute to modelling and simulation in general or use modelling and simulation in application areas. Paper submission is solicited on: • theoretical aspects of modelling and simulation including formal modelling, model-checking, random number generators, sensitivity analysis, variance reduction techniques, experimental design, meta-modelling, methods and algorithms for validation and verification, selection and comparison procedures etc.; • methodology and application of modelling and simulation in any area, including computer systems, networks, real-time and embedded systems, mobile and intelligent agents, manufacturing and transportation systems, management, engineering, biomedical engineering, economics, ecology and environment, education, transaction handling, etc.; • simulation languages and environments including those, specific to distributed computing, grid computing, high performance computers or computer networks, etc.; • distributed and real-time simulation, simulation interoperability; • tools for high performance computing simulation, including dedicated architectures and parallel computing.