Research on QoS Discomposing and Service Status Monitor for Composite Service with Global QoS Constraint

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Research on QoS Discomposing and Service Status Monitor for Composite Service with Global QoS Constraint

更新时间：2025-07-16

- Research on QoS Discomposing and Service Status Monitor for Composite Service with Global QoS Constraint
- Acta Electronica Sinica Vol. 44, Issue 4, Pages: 886-892(2016)
- 作者机构：
  
  解放军理工大学指挥信息系统学院,江苏,南京,210007
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0372-2112.2016.04.019
  CLC： TP317
- Published Online：25 April 2016，
  
  Published：2016
- 稿件说明：
移动端阅览
LIU Zhi-zhong, PENG Hui, CAO Lei. Research on QoS Discomposing and Service Status Monitor for Composite Service with Global QoS Constraint[J]. Acta Electronica Sinica, 2016, 44(4): 886-892.
DOI：

LIU Zhi-zhong, PENG Hui, CAO Lei. Research on QoS Discomposing and Service Status Monitor for Composite Service with Global QoS Constraint[J]. Acta Electronica Sinica, 2016, 44(4): 886-892. DOI： 10.3969/j.issn.0372-2112.2016.04.019.

摘要

组合服务QoS需求的全局性和服务QoS状态监控的局部性之间的矛盾使得组合服务的可用性难以满足用户的需求.针对此问题

提出了组合服务的自适应框架

重点研究了全局QoS分配与服务的QoS状态监控机制;通过分析服务的QoS历史信息来预测服务的QoS阈值

从而为全局QoS分解提供启发信息.并引入松弛系数以降低服务自适应的开销.实验表明:通过QoS阈值预测和松弛系数的使用能够实现以较小的自适应开销适应环境变化满足用户端到端的QoS需求

从而提高组合服务的可用性.

Abstract

Contradiction between the global QoS requirements and local service QoS status monitor decreases the availability of composite service

and makes it hard to meet users' requirements.Aiming at this problem

a framework for composite service adaption is proposed.And the mechanism for composite services QoS decomposing and individual service status monitor in this framework is demonstrated.To get the threshold of individual service

an approach to predict the service QoS by analyzing the historical QoS is studied.Further

to decrease the overhead of composite service adaption

the relax index is introduced into the mechanism.The experimental results show that predicting the QoS threshold and relax index can make the composite service QoS decomposing more reasonable

and can satisfy the user's end-to-end requirement through little adjustment to the greatest extent when changes happen.

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