Lightweight Asynchronous Snapshots for Distributed Dataflows Paris Carbone1 Gyula F´ora2 Stephan Ewen3

First Page		Document Content
Date: 2015-06-28 16:05:52 Computing Concurrent computing Parallel computing Computer architecture Models of computation Computer engineering Programming paradigms Apache Flink Dataflow Stream processing Distributed computing Snapshot		Lightweight Asynchronous Snapshots for Distributed Dataflows Paris Carbone1 Gyula F´ora2 Stephan Ewen3 Add to Reading List Source URL: kth.diva-portal.org Download Document from Source Website File Size: 611,33 KB Share Document on Facebook

	N EPTUNE: Real Time Stream Processing for Internet of Things and Sensing Environments Thilina Buddhika and Shrideep Pallickara Department of Computer Science Colorado State University, USA Email: {thilinab, shrideep}@cs. DocID: 1vdbL - View Document
	CONDITIONAL TECHNIQUES FOR STREAM PROCESSING KERNELS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF ELECTRICAL ENGINEERING AND THE COMMITTEE ON GRADUATE STUDIES DocID: 1v3Cw - View Document
	Handling Shared, Mutable State in Stream Processing with Correctness Guarantees Nesime Tatbul1,2 , Stan Zdonik3 , John Meehan3 , Cansu Aslantas3 , Michael Stonebraker2 , Kristin Tufte4 , Chris Giossi4 , Hong Quach4 1 2 DocID: 1tT0C - View Document
	SPL: An Extensible Language for Distributed Stream Processing MARTIN HIRZEL and SCOTT SCHNEIDER, IBM Thomas J. Watson Research Center ˘ BUGRA GED˙IK, Bilkent University DocID: 1tRtk - View Document
	Optimizing The Lazy DFA Approach for XML Stream Processing Danny Chen Raymond K. Wong School of Computer Science & Engineering DocID: 1tPi4 - View Document