竞赛:云边缘的实时应用程序

B. Chandramouli, J. Claessens, Suman Nath, I. Santos, Wenchao Zhou
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引用次数: 25

摘要

云边缘拓扑——多个智能边缘设备(如手机)通过云相互连接——正变得无处不在。我们演示了RACE,这是一个用于指定和有效执行云边缘拓扑中的分布式实时应用程序的新框架和系统。RACE使用LINQ for StreamInsight来简洁地表达各种有用的实时应用程序套件。此外,它还利用边缘设备和云的处理能力,以分布式方式对此类查询进行分区和执行。RACE具有一种新颖的基于成本的优化器,可以有效地找到最佳位置,在处理多级连接查询和非对称网络链接时最大限度地减少全局通信成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
RACE: real-time applications over cloud-edge
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.
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