Collecting data about moving objects in a distributed environment
Collecting data about moving objects in a distributed environment
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收集有关分布式环境中移动对象的数据
DOI：
10.1109/qest.2004.5
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发表时间：
2004
期刊：
影响因子：
--
通讯作者：
Mauricio Marín
中科院分区：
文献类型：
--
作者：
Manuel Osorio;Michael A. Rodriguez;Mauricio Marín
本文提出并比较了在分布式环境中收集移动对象的数据的策略。这样的环境由负责记录在地理空间的特定分区中发生的事件的服务器组成。这项工作表明，基于对象的数量或移动事件的数量的策略是收集大量的数据，每时间单位移动对象的实际替代方案。我们的研究是在一个模拟的环境中进行的，在空间中的服务器的不同分布，特别是，均匀，正常和集群分布。在这些分布中，在服务器的均匀分布上收集数据优于在服务器的正常或集群分布上收集数据。
This paper presents and compares strategies for collecting data about moving objects in a distributed environment. Such an environment is composed of servers in charge of recording events that occur in particular partitions of a geographic space. This work shows that strategies based on the number of objects or the number of move in events are practical alternatives for collecting large amount of data about moving objects per time unit. Our study was performed in a simulated environment with different distributions of servers in the space, in particular, uniform, normal and cluster distributions. Among these distributions, collecting data on a uniform distribution of servers outperforms the collection of data on a normal or cluster distribution of servers.