TY - GEN
T1 - Safe distribution and parallel execution of data-centric workflows over the publish/subscribe abstraction
AU - Jergler, Matin
AU - Jacobsen, Hans Arno
AU - Sadoghi, Mohammad
AU - Hull, Richard
AU - Vaculin, Roman
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2016/6/22
Y1 - 2016/6/22
N2 - We present a unique representation of data-centric workflows, designed to exploit the loosely coupled nature of publish/subscribe systems to enable their safe distribution and parallel execution. We argue for the practicality of our approach by mapping a standard and industry-strength data-centric workflow model, namely, IBM Business Artifacts with Guard-Stage-Milestone (GSM), into the publish/subscribe abstraction.
AB - We present a unique representation of data-centric workflows, designed to exploit the loosely coupled nature of publish/subscribe systems to enable their safe distribution and parallel execution. We argue for the practicality of our approach by mapping a standard and industry-strength data-centric workflow model, namely, IBM Business Artifacts with Guard-Stage-Milestone (GSM), into the publish/subscribe abstraction.
UR - http://www.scopus.com/inward/record.url?scp=84980416789&partnerID=8YFLogxK
U2 - 10.1109/ICDE.2016.7498393
DO - 10.1109/ICDE.2016.7498393
M3 - Conference contribution
AN - SCOPUS:84980416789
T3 - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
SP - 1498
EP - 1499
BT - 2016 IEEE 32nd International Conference on Data Engineering, ICDE 2016
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 32nd IEEE International Conference on Data Engineering, ICDE 2016
Y2 - 16 May 2016 through 20 May 2016
ER -