RACE: real-time applications over cloud-edge
RACE: real-time applications over cloud-edge
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RACE：云边缘实时应用程序
DOI：
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发表时间：
2012
期刊：
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通讯作者：
Wenchao Zhou
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作者：
Badrish Chandramouli;J. Claessens;Suman Nath;I. Santos;Wenchao Zhou
云边缘拓扑 - 通过云通过云连接多个智能边缘设备 - 变得无处不在。我们演示了种族，这是一个新颖的框架和系统，用于指定并有效地执行云边缘拓扑中的分布式实时应用程序。 Race使用Linq进行流媒体，简洁地表达各种有用的实时应用程序。此外，它利用边缘设备和云的处理能力以分布式的方式分区和执行此类查询。 Race具有一种新颖的基于成本的优化器，可有效地找到最佳位置，最大程度地降低全球沟通成本，同时处理多层次的加入查询和非对称网络链接。
The Cloud-Edge topology - where multiple smart edge devices such as phones are connected to one another via the Cloud - is becoming ubiquitous. We demonstrate RACE, a novel framework and system for specifying and efficiently executing distributed real-time applications in the Cloud-Edge topology. RACE uses LINQ for StreamInsight to succinctly express a diverse suite of useful real-time applications. Further, it exploits the processing power of edge devices and the Cloud to partition and execute such queries in a distributed manner. RACE features a novel cost-based optimizer that efficiently finds the optimal placement, minimizing global communication cost while handling multi-level join queries and asymmetric network links.