Annotated Dependency Graph-Based Approach for Service Composition

HUANG Wei; ZHU Qiao-ming; LI Pei-feng; LIU Mei-mei

Chinese

您当前的位置：

首页 >

文章列表页 >

Annotated Dependency Graph-Based Approach for Service Composition

更新时间：2026-09-04

- Annotated Dependency Graph-Based Approach for Service Composition
- Vol. 27, Issue 1, Pages: 94-98(2010)
- 作者机构：
  
  1. 苏州大学计算机科学与技术学院,江苏,苏州,215006
  2. 江苏省计算机信息处理技术重点实验室机构,江苏,苏州,215006
- 作者简介：
- 基金信息：
- DOI：
  CLC：
- Published：2010
- 稿件说明：
移动端阅览
黄炜, 朱巧明, 李培峰, 刘梅梅. 基于标注依赖图的服务组合方法[J]. 微电子学与计算机, 2010, 27(1): 94-98.

HUANG Wei, ZHU Qiao-ming, LI Pei-feng, et al. Annotated Dependency Graph-Based Approach for Service Composition[J]. 2010, 27(1): 94-98.
黄炜, 朱巧明, 李培峰, 刘梅梅. 基于标注依赖图的服务组合方法[J]. 微电子学与计算机, 2010, 27(1): 94-98. DOI：

HUANG Wei, ZHU Qiao-ming, LI Pei-feng, et al. Annotated Dependency Graph-Based Approach for Service Composition[J]. 2010, 27(1): 94-98. DOI：

摘要

针对服务组合问题

提出了一种既考虑服务输入/输出又考虑服务前提条件/执行效果的结构化组合方法.根据服务请求查找服务组合路径

得到服务依赖图

然后通过依赖图中的依赖关系

把依赖图转化为结构化流程模型

除了标注结构化过程中的某些分支类型时

需要一些额外的用户干预外

整个过程是完全自动的.

Abstract

This paper introduces a structured service composition method which considers both services input/output and pre-condition/post-cond ition. It gets service dependency graph by means of searching service compostion path based on service request. It transforms service dependency graph into a structured process model. It is fully automated

besides some additional user input needed to annotate dependencies with specific branching types.

关键词

Keywords

references

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

The Research of Automatic Dynamic Service Composition Based on Causal Relationship Matrix

Web Service Request Input Closure and Satisfiability Analysis

Monte carlo analysis of V-layout trench SiC neutron detector

Lightweight countermeasures against Spectre attacks on the branch prediction unit

Microservices anomaly detection based on the correlation of monitoring metrics

Related Author

ZHU Xue-feng

XIE Qian

DAI Gui-lan

YE Heng-zhou

LUO Xiao-juan

NIU Qin-zhou

Related Institution

College of Computer and Information Engineering, Henan University

Research Institution of Information Technology, Tsinghua University

College of Information Science and Engineering,Guilin University of Technology

AI问答

Postal code：100079
Tel：（010）53879206 Email：tmw@bjxintong.com.cn
Technical support is provided by Beijing Founder electronics co., LTD 京ICP备09082226号-64 京公网安备11010602201714号
It is recommended to read the content of this site in Chrome&IE9+. Please switch to extreme mode in browser 360.
Cookies We use cookies to help provide and enhance our service and tailor content. By continuing, you agree to the use of cookies.

⁰