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首页> 外文期刊>Electronic Notes in Theoretical Computer Science >Performance Evaluation of Self-reconfigurable Service-oriented Software With Stochastic Petri Nets
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Performance Evaluation of Self-reconfigurable Service-oriented Software With Stochastic Petri Nets

机译：基于随机Petri网的可自我重构的面向服务软件的性能评估

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摘要

Open-world software is a paradigm which allows to develop distributed and heterogeneous software systems. They can be built by integrating already developed third-party services, which use to declare QoS values (e.g., related to performance). It is true that these QoS values are subject to some uncertainties. Consequently, the performance of the systems using these services may unexpectedly decrease. A challenge for this kind of software is to self-adapt its behavior as a response to changes in the availability or performance of the required services. In this paper, we develop an approach to model self-renconfigurable open-world software systems with stochastic Petri nets. Moreover, we develop strategies for a system to gain a new state where it can recover its availability or even improve its performance. Through an example, we apply these strategies and evaluate them to discover suitable reconfigurations for the system. Results will announce appropriate strategies for system performance enhancement.
机译：开放世界软件是允许开发分布式和异构软件系统的范例。可以通过集成已经开发的第三方服务来构建它们，这些服务用于声明QoS值（例如，与性能有关的值）。这些QoS值确实存在一些不确定性。因此，使用这些服务的系统的性能可能会意外降低。这种软件面临的挑战是如何自适应其行为，以响应所需服务的可用性或性能的变化。在本文中，我们开发了一种使用随机Petri网建模可自我重新配置的开放世界软件系统的方法。此外，我们为系统开发策略以获得新状态，在该状态下系统可以恢复其可用性甚至提高性能。通过示例，我们应用这些策略并对它们进行评估，以发现适合该系统的重新配置。结果将宣布提高系统性能的适当策略。

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