Title :
Flow: A Stream Processing System Simulator
Author :
Park, Alfred J. ; Li, Cheng-Hong ; Nair, Ravi ; Ohba, Nobuyuki ; Shvadron, Uzi ; Zaks, Ayal ; Schenfeld, Eugen
Author_Institution :
T.J. Watson Res. Center, IBM Res., Yorktown Heights, NY, USA
Abstract :
Stream processing is an important emerging computational model for performing complex operations on and across multi-source, high volume, unpredictable dataflows. We present Flow, a platform for parallel and distributed stream processing system simulation that provides a flexible modeling environment for analyzing stream processing applications. The Flow stream processing system simulator is a high performance, scalable simulator that automatically parallelizes chunks of the model space and incurs near zero synchronization overhead for stream application graphs that exhibit feed-forward behavior. We show promising multi-threaded and multi-process event rates exceeding 80 million events per second on a cluster with 256 processor cores.
Keywords :
data flow computing; digital simulation; multi-threading; parallel processing; synchronisation; Flow stream processing system simulator; data flows; distributed stream processing system simulation; feed-forward behavior; multiprocess event rates; multithreaded event rates; near zero synchronization; parallel stream processing system simulation; stream processing system simulator; Analytical models; Application software; Computational modeling; Feedforward systems; Hardware; Intelligent transportation systems; Kernel; Laboratories; Large-scale systems; Streaming media;
Conference_Titel :
Principles of Advanced and Distributed Simulation (PADS), 2010 IEEE Workshop on
Conference_Location :
Atlanta, GA
Print_ISBN :
978-1-4244-7292-5
Electronic_ISBN :
1087-4097
DOI :
10.1109/PADS.2010.5471658