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Efficient Data Processing for Large-Scale Cloud Services

机译:大规模云服务的高效数据处理

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The cloud concept and its implementations are gaining in importance for systems that connect evermore new devices which in turn require communication with each other. In scenarios where we can find large numbers of data providers on one side and data consumers on the other side, such as in the Internet of Things, large scale sensor networks, machine to machine communication or even in social media, one emerging requirement is to process, procure, and provide information efficiently and with almost zero latency. This work is introducing new concepts to describe the flow of data to and from sources to cloud services in a formal way by limiting information flow with filtering concepts and combining data processing techniques adopted from complex event processing.
机译:对于连接越来越多的新设备的系统而言,云概念及其实现正变得越来越重要,而新设备又需要彼此通信。在我们可以在一侧找到大量数据提供者而在另一侧找到大量数据使用者的情况下,例如在物联网,大规模传感器网络,机器对机器通信甚至是社交媒体中,一个新兴的需求是有效地处理,采购和提供信息,并且延迟几乎为零。这项工作引入了新的概念,以正式的方式描述数据往返于云服务的数据流,方法是使用过滤概念限制信息流,并结合复杂事件处理中采用的数据处理技术。

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