Mobile CEP in real-time big data processing: challenges and opportunities

N. Stojanović, Ljiljana Stojanović, Yongchun Xu, Boban Stajic Nissatech
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引用次数: 9

Abstract

The expansion of the mobile applications in various domains has opened the issue of the optimal usage of the limited resources (e.g. data storage capacity and processing power). This is especially important for the so-called data-intensive applications, which deal with huge amount of mobile data, like in the case of m-Health (i.e. wearable sensing). Many of these applications are oriented towards detecting of particular real-time situations, which brings them to the domain of Event Processing. However, we argue that real-time, big data driven applications require a novel infrastructure for distributed complex event processing that is only partially executed on the mobile devices. This tutorial paper presents a foundation for an efficient development of such mobile applications, by introducing a mobile-driven distributed CEP infrastructure. We present the technical details of the infrastructure and its initial implementation.
实时大数据处理中的移动CEP:挑战与机遇
移动应用程序在各个领域的扩展已经打开了有限资源(例如数据存储容量和处理能力)的最佳使用问题。这对于所谓的数据密集型应用程序尤其重要,这些应用程序处理大量移动数据,例如移动健康(即可穿戴传感)。这些应用程序中的许多都面向检测特定的实时情况,这将它们带入了事件处理领域。然而,我们认为实时、大数据驱动的应用程序需要一种新的基础设施来处理分布式复杂事件,而这种基础设施只能部分地在移动设备上执行。本教程通过介绍移动驱动的分布式CEP基础设施,为高效开发此类移动应用程序提供了基础。我们介绍了基础设施的技术细节及其初步实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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