Name
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. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1109/PADS.2010.5471658 | PADS |
Keywords | Field | DocType |
stream processing system simulator,model space,scalable simulator,stream processing,stream processing application,flow stream processing system,high performance,computational model,high volume,stream processing system simulation,stream application graph,data models,multi threading,physical layer,kernel,parallel processing,computational modeling,computer model,application software,synchronisation,feed forward,hardware,automatic parallelization,intelligent transportation systems | Data modeling,Multithreading,Computer science,Real-time computing,Physical layer,Application software,Multi-core processor,Distributed computing,Synchronization,Simulation,Parallel computing,Stream processing,Scalability | Conference |
ISSN | ISBN | Citations |
1087-4097 E-ISBN : 978-1-4244-7291-8 | 978-1-4244-7291-8 | 2 |
PageRank | References | Authors |
0.39 | 21 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Alfred J. Park | 1 | 35 | 4.53 |
| Cheng-Hong Li | 2 | 79 | 5.98 |
| Ravi Nair | 3 | 4 | 0.76 |
| Nobuyuki Ohba | 4 | 28 | 5.80 |
| Uzi Shvadron | 5 | 31 | 3.51 |
| Ayal Zaks | 6 | 414 | 26.73 |
| Eugen Schenfeld | 7 | 296 | 38.01 |