TY - GEN
T1 - DEBS grand challenge
T2 - 9th ACM International Conference on Distributed Event-Based Systems, DEBS 2015
AU - Song, Dantong
AU - Zhang, Kaiwen
AU - Rabl, Tilmann
AU - Menon, Prashanth
AU - Jacobsen, Hans Arno
PY - 2015/6/24
Y1 - 2015/6/24
N2 - Traffic monitoring is an important stream processing application, which is highly dynamic and requires aggregation of spatially collocated data. Inspired by this, the DEBS 2015 Grand Challenge uses publicly available taxi transportation information to compute online the most frequent routes and most profitable areas. We describe our solution to the DEBS 2015 Grand Challenge, which can process events at a 10 ms latency and at a throughput of 114,000 events per second.
AB - Traffic monitoring is an important stream processing application, which is highly dynamic and requires aggregation of spatially collocated data. Inspired by this, the DEBS 2015 Grand Challenge uses publicly available taxi transportation information to compute online the most frequent routes and most profitable areas. We describe our solution to the DEBS 2015 Grand Challenge, which can process events at a 10 ms latency and at a throughput of 114,000 events per second.
UR - http://www.scopus.com/inward/record.url?scp=84960949759&partnerID=8YFLogxK
U2 - 10.1145/2675743.2776761
DO - 10.1145/2675743.2776761
M3 - Conference contribution
AN - SCOPUS:84960949759
T3 - DEBS 2015 - Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
SP - 322
EP - 323
BT - DEBS 2015 - Proceedings of the 9th ACM International Conference on Distributed Event-Based Systems
PB - Association for Computing Machinery, Inc
Y2 - 29 June 2015 through 3 July 2015
ER -