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Adaptare: Supporting Automatic and Dependable Adaptation in Dynamic Environments

机译:Adaptare:在动态环境中支持自动可靠的适应

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Distributed protocols executing in uncertain environments, like the Internet or ambient computing systems, should dynamically adapt to environment changes in order to preserve Quality of Service (QoS). In earlier work, it was shown that QoS adaptation should be dependable, if correctness of protocol properties is to be maintained. More recently, some ideas concerning specific strategies and methodologies for improving QoS adaptation have been proposed. In this article we describe Adaptare, a complete framework for dependable QoS adaptation. We assume that during its lifetime, a system alternates periods where its temporal behavior is well characterized, with transition periods during which a variation of the environment conditions occurs. Our method is based on the following: if the environment is generically characterized in analytical terms, and we can detect the alternation of these stable and transient phases, we can improve the effectiveness and dependability of QoS adaptation. To prove our point we provide detailed evaluation results of the proposed solutions. Our evaluation is based on synthetic data flows generated from probabilistic distributions, as well as on real data traces collected in various Internet-based environments. We compare our solution with other approaches and we show that Adaptare, albeit more complex, is very effective, allowing protocols to adapt to the available resources in a dependable way.
机译:在不确定的环境(例如Internet或环境计算系统)中执行的分布式协议应动态适应环境变化,以保持服务质量(QoS)。在较早的工作中,已经表明,如果要保持协议属性的正确性,则QoS适配应该是可靠的。最近,已经提出了一些有关改善QoS适应性的特定策略和方法的想法。在本文中,我们描述了Adaptare,这是用于可靠QoS自适应的完整框架。我们假设系统在其生命周期内会交替显示其时间行为得到很好表征的各个时期,并在其中出现环境条件变化的过渡时期。我们的方法基于以下内容:如果以解析术语概括地描述了环境,并且我们可以检测到这些稳定阶段和过渡阶段的交替,则可以提高QoS适应的有效性和可靠性。为了证明我们的观点,我们提供了所提出解决方案的详细评估结果。我们的评估基于概率分布生成的综合数据流,以及基于各种基于Internet的环境中收集的真实数据跟踪。我们将我们的解决方案与其他方法进行了比较,结果表明Adaptare虽然更复杂,但却非常有效,它允许协议以可靠的方式适应可用资源。

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