Grand challenge: SPRINT stream processing engine as a solution

Authors:
Yingjun Wu;David Maier;Kian-Lee Tan
Affiliations:
National University of Singapore, Singapore, Singapore;Portland State University, Portland, Oregon, USA;National University of Singapore, Singapore, Singapore
Venue:
Proceedings of the 7th ACM international conference on Distributed event-based systems
Year:
2013

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Abstract

A stream processing engine, named SPRINT, is designed and implemented to efficiently process queries over high-speed sensor data streams from soccer games. SPRINT adopts several novel strategies, including a lock-free ring buffer, frame-based sliding windows, and dynamic parallel computation, to pursue three objectives: high speed, high precision, and low space consumption. Experiments show that SPRINT can achieve these three goals simultaneously.