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Adaptive push based data collection method for online performance monitoring

机译:基于自适应推送的在线性能监测数据收集方法

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In telecommunication network management systems, pull and push are the conventional methods for data collection. The manager (also called client) entity manages a large number of network elements (NE, also called server) that send monitoring data to the manager. The pull approach does not depend on data changes and is not efficient. The push approach serves the data strictly based on the data changes and is hence more efficient. However, the push approach does not consider the manager's capabilities; hence, the efforts spent on serving the data will be wasted when the manager is unable or unwilling to process the data. Ideally, data collection should be done based on the manager's capabilities, load and other service level criteria. In this paper, we present an adaptive push technique that combines the best of push's advantages while providing the manager with control over demand in data. This approach is compared with pull and push techniques in terms of metrics such as benefit, cost and optimum.
机译:在电信网络管理系统中,拉和推是用于数据收集的常规方法。管理器(也称为客户端)实体管理将监视数据发送到管理器的大量网络元素(NE,也称为服务器)。拉取方法不依赖于数据更改,并且效率不高。推送方法严格根据数据更改为数据提供服务,因此效率更高。但是,推送方法没有考虑管理者的能力。因此,当管理者无法或不愿意处理数据时,将浪费在服务数据上的精力。理想情况下,应根据管理者的能力,负载和其他服务水平标准来进行数据收集。在本文中,我们提出了一种自适应推送技术,该技术结合了推送的最佳优势,同时为管理人员提供了对数据需求的控制。在收益,成本和最佳性等指标方面,此方法与推拉技术进行了比较。

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