{"title":"A framework for QoS management","authors":"J. Contreras, J. Sourrouille","doi":"10.1109/TOOLS.2001.941672","DOIUrl":null,"url":null,"abstract":"Quality of service (QoS) becomes an important issue as systems become more open and therefore less predictable. In such contexts, it is difficult, using static approaches, to ensure that a system will provide the expected QoS. In dynamic approaches, services are adapted to provide the best QoS according to the execution context. This article describes an object-based framework to deal with QoS in domains in which temporal faults are a major QoS criterion. The QoS optimization policy influences most of the architectural design decisions. The implementation is based on meta-objects that collectively manage the QoS and form a two-level decision framework: at the global level, objects share the same decision policy, aiming to reduce timing faults, while at the object level, any specific QoS criteria may be applied. The QoS description is made using UML extension mechanisms. Finally, the main phases of QoS management are detailed: prediction, establishment and operation, including observation and negotiation.","PeriodicalId":388056,"journal":{"name":"Proceedings 39th International Conference and Exhibition on Technology of Object-Oriented Languages and Systems. TOOLS 39","volume":null,"pages":null},"PeriodicalIF":0.0000,"publicationDate":"2001-07-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"11","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings 39th International Conference and Exhibition on Technology of Object-Oriented Languages and Systems. TOOLS 39","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/TOOLS.2001.941672","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 11

Abstract

Quality of service (QoS) becomes an important issue as systems become more open and therefore less predictable. In such contexts, it is difficult, using static approaches, to ensure that a system will provide the expected QoS. In dynamic approaches, services are adapted to provide the best QoS according to the execution context. This article describes an object-based framework to deal with QoS in domains in which temporal faults are a major QoS criterion. The QoS optimization policy influences most of the architectural design decisions. The implementation is based on meta-objects that collectively manage the QoS and form a two-level decision framework: at the global level, objects share the same decision policy, aiming to reduce timing faults, while at the object level, any specific QoS criteria may be applied. The QoS description is made using UML extension mechanisms. Finally, the main phases of QoS management are detailed: prediction, establishment and operation, including observation and negotiation.
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QoS管理的框架
随着系统变得更加开放,因而不可预测,服务质量(QoS)成为一个重要问题。在这种情况下,使用静态方法很难确保系统提供预期的QoS。在动态方法中,根据执行上下文调整服务以提供最佳的QoS。本文描述了一个基于对象的框架,用于处理以时间错误为主要QoS标准的领域中的QoS。QoS优化策略影响大多数体系结构设计决策。实现基于元对象,这些元对象共同管理QoS并形成两级决策框架:在全局级别,对象共享相同的决策策略,旨在减少定时错误,而在对象级别,可以应用任何特定的QoS标准。QoS描述是使用UML扩展机制进行的。最后详细介绍了QoS管理的主要阶段:预测、建立和运行,其中包括观察和协商。
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