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Freshness-aware metadata management: Performance evaluation with SWN models

机译：感知新鲜度的元数据管理：SWN模型的性能评估

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摘要

Recent systems which are in general composed by several resources and distributed over a large-scale network, need high-level models to be studied. In these complex systems such as peer-to-peer systems, efficient and fast query routing is necessary for managing applications workload. Many works have been proposed to deal with query routing, however none of these studies rely on Stochastic Well formed Petri Nets (SWN) for modelling the approach proposed. We aim in this paper, to propose an algorithm for managing metadata needed to route queries. Moreover we use SWN models to evaluate and validate our approach. Our solution is freshness-aware, thus gains in the fact that stale data can be read under some limits. These limits are wideley taken into account for managing metadata coherently. Our study takes into account the concurrency, the synchronization, the parallelism, the identity of the resources and their cooperation. We propose two SWN models for structuring metadata: one with strong consistency and another with weak consistency. Simulations are used to validate our approach and the results obtainded demonstrate the fesability of our solution.
机译：通常由几种资源组成并分布在大规模网络上的最新系统需要研究高级模型。在诸如点对点系统之类的这些复杂系统中，高效而快速的查询路由对于管理应用程序工作负载是必需的。已经提出了许多工作来处理查询路由，但是这些研究都没有依赖随机井格式良好的Petri网（SWN）来对提出的方法进行建模。我们的目标是提出一种用于管理路由查询所需的元数据的算法。此外，我们使用SWN模型来评估和验证我们的方法。我们的解决方案可以感知新鲜度，因此可以在一定的限制下读取过时的数据。为了统一管理元数据，将这些限制考虑在内。我们的研究考虑了并发性，同步性，并行性，资源的标识及其合作。我们提出了两种用于构造元数据的SWN模型：一种具有强一致性，而另一种具有弱一致性。仿真用于验证我们的方法，所获得的结果证明了我们解决方案的可行性。

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