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RACE: Real-time Applications over Cloud-Edge

Badrish Chandramouli, Joris Claessens, Suman Nath, Ivo Santos, and Wenchao Zhou


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 new 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.


Publication typeInproceedings
Published inACM SIGMOD International Conference on Management of Data (SIGMOD 2012)
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