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首页> 外文期刊>Journal of systems and software >Data Access In Distributed Simulations Of Multi-agent Systems
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Data Access In Distributed Simulations Of Multi-agent Systems

机译：多主体系统分布式仿真中的数据访问

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Distributed simulation has emerged as an important instrument for studying large-scale complex systems. Such systems inherently consist of a large number of components, which operate in a large shared state space interacting with it in highly dynamic and unpredictable ways. Optimising access to the shared state space is crucial for achieving efficient simulation executions. Data accesses may take two forms: locating data according to a set of attribute value ranges (range query) or locating a particular state variable from the given identifier (ID query and update). This paper proposes two alternative routing approaches, namely the address-based approach, which locates data according to their address information, and the range-based approach, whose operation is based on looking up attribute value range information along the paths to the destinations. The two algorithms are discussed and analysed in the context of PDES-MAS, a framework for the distributed simulation of multi-agent systems, which uses a hierarchical infrastructure to manage the shared state space. The paper introduces a generic meta-simulation framework which is used to perform a quantitative comparative analysis of the proposed algorithms under various circumstances.
机译：分布式仿真已经成为研究大型复杂系统的重要工具。这样的系统固有地由大量组件组成，这些组件在大型共享状态空间中操作，并以高度动态且不可预测的方式与其交互。优化对共享状态空间的访问对于实现有效的仿真执行至关重要。数据访问可以采取两种形式：根据一组属性值范围定位数据（范围查询）或从给定标识符定位特定状态变量（ID查询和更新）。本文提出了两种可选的路由方法，一种是基于地址的方法，该方法根据数据的地址信息来定位数据；另一种是基于范围的方法，其操作是基于在到目的地的路径上查找属性值范围信息。在PDES-MAS上下文中讨论和分析了这两种算法，PDES-MAS是用于多主体系统的分布式仿真的框架，该框架使用分层基础结构来管理共享状态空间。本文介绍了一种通用的元仿真框架，该框架用于在各种情况下对提出的算法进行定量比较分析。

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