{"id":161997,"date":"2012-05-01T00:00:00","date_gmt":"2012-05-01T00:00:00","guid":{"rendered":"https:\/\/www.microsoft.com\/en-us\/research\/msr-research-item\/race-real-time-applications-over-cloud-edge\/"},"modified":"2018-10-16T20:05:47","modified_gmt":"2018-10-17T03:05:47","slug":"race-real-time-applications-over-cloud-edge","status":"publish","type":"msr-research-item","link":"https:\/\/www.microsoft.com\/en-us\/research\/publication\/race-real-time-applications-over-cloud-edge\/","title":{"rendered":"RACE: Real-time Applications over Cloud-Edge"},"content":{"rendered":"<div class=\"asset-content\">\n<p>The Cloud-Edge topology &#8211; where multiple smart edge devices such as phones are connected to one another via the Cloud &#8211; 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.<\/p>\n<\/div>\n<p><!-- .asset-content --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>The Cloud-Edge topology &#8211; where multiple smart edge devices such as phones are connected to one another via the Cloud &#8211; 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 [&hellip;]<\/p>\n","protected":false},"featured_media":0,"template":"","meta":{"msr-url-field":"","msr-podcast-episode":"","msrModifiedDate":"","msrModifiedDateEnabled":false,"ep_exclude_from_search":false,"footnotes":""},"msr-content-type":[3],"msr-research-highlight":[],"research-area":[13547],"msr-publication-type":[193716],"msr-product-type":[],"msr-focus-area":[],"msr-platform":[],"msr-download-source":[],"msr-locale":[268875],"msr-field-of-study":[],"msr-conference":[],"msr-journal":[],"msr-impact-theme":[],"msr-pillar":[],"class_list":["post-161997","msr-research-item","type-msr-research-item","status-publish","hentry","msr-research-area-systems-and-networking","msr-locale-en_us"],"msr_publishername":"ACM SIGMOD","msr_edition":"ACM SIGMOD International Conference on Management of Data (SIGMOD 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