TY - GEN
T1 - A multiple query optimization scheme for change point detection on stream processing system
T2 - International Workshops on Business Intelligence for the Real-Time Enterprise, BIRTE 2013 and BIRTE 2014
AU - Oke, Masahiro
AU - Kawashima, Hideyuki
PY - 2015/1/1
Y1 - 2015/1/1
N2 - To accelerate simultaneous execution of multiple change point detection (CPD) queries, this paper proposes to apply the multiple query optimization scheme which has been studied in DBMS or DSMS. We propose to share a part of steps of CPD procedures, and we propose an algorithm for the sharing. The result of experiments showed that our proposal reduces more than 80% internal steps and achieved 5 times performance improvement. To the best of our knowledge, this is the first work that applies the multiple query optimization scheme for CPD.
AB - To accelerate simultaneous execution of multiple change point detection (CPD) queries, this paper proposes to apply the multiple query optimization scheme which has been studied in DBMS or DSMS. We propose to share a part of steps of CPD procedures, and we propose an algorithm for the sharing. The result of experiments showed that our proposal reduces more than 80% internal steps and achieved 5 times performance improvement. To the best of our knowledge, this is the first work that applies the multiple query optimization scheme for CPD.
KW - Change point detection
KW - Multiple query optimization
UR - http://www.scopus.com/inward/record.url?scp=84942604358&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84942604358&partnerID=8YFLogxK
U2 - 10.1007/978-3-662-46839-5_10
DO - 10.1007/978-3-662-46839-5_10
M3 - Conference contribution
AN - SCOPUS:84942604358
SN - 9783662468388
T3 - Lecture Notes in Business Information Processing
SP - 150
EP - 158
BT - Enabling Real-Time Business Intelligence - International Workshops, BIRTE 2013 and BIRTE 2014, BIRTE 2014, Revised Selected Papers
PB - Springer Verlag
Y2 - 1 September 2014 through 1 September 2014
ER -