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A quality of service framework for dependability in large-scale distributed systems

机译:用于大规模分布式系统中可靠性的服务质量框架

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As recognition grows within industry for the advantages that can be gained through the exploitation of large-scale dynamic systems, a need emerges for dependable performance. Future systems are being developed with a requirement to support mission critical and safety critical applications. These levels of criticality require predictable performance and as such have traditionally not been associated with adaptive systems. The software architecture proposed for such systems takes its properties from the service-oriented computing paradigm and the communication model follows a publish/subscribe approach. While adaptive, such architectures do not, however, typically support real-time levels of performance. There is scope, however, for dependability within such architectures through the use of Quality of Service (QoS) methods. QoS is used in systems where the distribution of resources cannot be decided at design time. In this paper a QoS based framework is proposed for providing adaptive and dependable behaviour for future large-scale dynamic systems through the flexible allocation of resources. Simulation results are presented to demonstrate the benefits of the QoS framework and the tradeoffs that occur between negotiation algorithms of varying complexities.
机译:随着行业内对通过开发大型动态系统获得的优势的认可度不断提高,对可靠性能的需求也不断涌现。正在开发未来的系统,以支持关键任务和安全关键应用程序。这些关键级别需要可预测的性能,因此传统上不与自适应系统相关联。为此类系统建议的软件体系结构采用了面向服务的计算范式的属性,并且通信模型遵循了发布/订阅方法。尽管具有自适应性,但此类体系结构通常不支持实时性能水平。但是,通过使用服务质量(QoS)方法,在此类体系结构中存在可靠性。 QoS用于无法在设计时确定资源分配的系统。本文提出了一种基于QoS的框架,通过灵活的资源分配为未来的大型动态系统提供自适应和可靠的行为。给出了仿真结果,以证明QoS框架的好处以及各种复杂程度的协商算法之间的权衡。

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