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 acyclic stream application graphs. We show promising parallel and distributed event rates exceeding 149 million events per second on a cluster with 512 processor cores. |
Year | DOI | Venue |
|---|---|---|
2012 | 10.1177/0037549711412981 | Simulation |
Keywords | DocType | Volume |
model space,scalable simulator,stream processing,promising parallel,stream processing application,Flow stream processing system,complex operation,acyclic stream application graph,computational model,Towards flexible exascale stream,stream processing system simulation | Journal | 88 |
Issue | ISSN | Citations |
7 | 0037-5497 | 2 |
PageRank | References | Authors |
0.37 | 45 | 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 |