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基于发布/订阅机制的Web服务QoS信息分发模型
  • 期刊名称:计算机研究与发展
  • 时间:0
  • 页码:1088-1097
  • 语言:中文
  • 分类:TP393[自动化与计算机技术—计算机应用技术;自动化与计算机技术—计算机科学与技术]
  • 作者机构:[1]东南大学计算机科学与工程学院,南京210096, [2]安徽工业大学计算机学院,安徽马鞍山243002
  • 相关基金:国家自然科学基金项目(60773103 60903161 60903162 90912002); 国家“九七三”重点基础研究发展计划基金项目(2010CB328104); 高等学校博士学科点专项科研基金项目(200802860031); 江苏省自然科学基金重点项目(BK2008030); 江苏省“网络与信息安全”重点实验室基金项目(BM2003201); “计算机网络和信息集成”教育部重点实验室基金项目(93K-9)
  • 相关项目:AMS数据计算环境应用示范
中文摘要:

QoS感知的Web服务管理和组合的基本问题是如何及时有效地获取Web服务的QoS信息.当前的研究包括基于查询或监视的方法.然而在动态的服务计算环境下,这些方法或多或少存在时效慢、代价高和可扩展性差等问题.提出一个基于发布/订阅机制的Web服务QoS信息分发模型,目标是提供一个在大规模的服务计算环境下可靠、及时地获得Web服务QoS信息的方法.提出一个基于P2P的内容发布/订阅网络,利用专用的集合点和副本机制减少订阅丢失,改善可靠性.利用RP链加快订阅和QoS信息发布.通过支持组合服务的组合QoS订阅,减少通知消息数量,减轻网络负载.仿真实验验证了系统的低成本、有效性和可扩展性.

英文摘要:

Quality of service (QoS) information for Web services is essential to QoS-aware service management. Currently, most work assumes that the overall QoS of a composite service can be computed by the pre-existing QoS information of component services. However, the issue of how to obtain these QoS information has largely been overlooked. Current research on this problem usually involves query-based or monitoring-based methods. However, in a dynamic service oriented computing (SOC) environment, these solutions suffer from some or all of the limitations, such as cost, timeliness guarantee and scalability. In this paper, a P2P based publish/subscribe model is proposed to disseminate new revised QoS information of Web services, which not only maintains the scalability of the underlying Chord network, but also improves reliability and timelines guarantee especially for QoS information obtainment. The authors suggest specialized rendezvous points(RPs) and a replica mechanism to reduce the risk of subscriptions loss and consequently improve reliability. A reverse RP ring is designed to quicken subscription delivery and QoS information publication. In addition, an optimization mechanism for composite services is built into the proposed model, which helps to reduce notification traffic. Simulation results show that the model is featured by low cost, high efficiency and scalability, which is suitable to large-volume QoS information distribution.

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