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Cooperative Big Data Processing Engine for Fast Reaction in Internet of Things Environment: Greater Than the Sum of Its Parts

机译:合作大数据处理引擎,用于在物联网上进行快速反应环境:大于其部件的总和

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This paper outlines cooperative big data processing engine in Internet of Things environment. Our platform splits an analytical job into two meaningful sub-jobs. First one of two sub-jobs push away from centralized points (e.g., analysis server) to the physical Internet of Things devices (e.g., embedded devices) for filtering out the inconsequential messages and achieving the best message-response possible. Second one of two sub-jobs conducts remaining parts of complicated analytic mission in traditional servers. This approach significantly decreases the data volume that must be moved, the consequent traffic. Furthermore, it can provide faster reaction in most instances.
机译:本文概述了物联网环境中的合作大数据处理引擎。我们的平台将分析工作分成两份有意义的子作业。两个子作业中的第一个推断从集中点(例如,分析服务器)到物理互联网设备(例如,嵌入式设备),以过滤无关紧要的消息并实现最佳消息响应。两个子就业机中的第二个是传统服务器中的复杂分析任务的剩余部分。这种方法显着降低了必须移动的数据量,从而实现的流量。此外,它可以在大多数情况下提供更快的反应。

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