Name
Abstract | ||
|---|---|---|
Modeling Interconnection networks is an important research topic enabling the study of the interconnection behavior and its significance in telecommunication applications and distributed systems. However, complexity of large-scale networks makes development of models and simulation tools a prohibitively difficult task. In this paper we have explored the network modeling space design to provide models following two different approaches: accurate simulation models based on finite state machines (FSM), and also, analytical models to provide profitable speedup with a minimal accuracy loss. Experiments results show that the proposed analytical model provides a faithful abstraction for the scale of systems that are of interest in the foreseeable future, it reaches an 8% error and speedup of around 30Ã vs. a FSM model. |
Year | DOI | Venue |
|---|---|---|
2009 | 10.1109/MASCOT.2009.5366358 | MASCOTS |
Keywords | Field | DocType |
finite state machines,multiprocessor interconnection networks,analytical models,finite state machines,high-speed interconnection networks modeling,large-scale networks,network modeling space design,performance analysis,simulation models | Abstraction,Computer science,Load modeling,Finite-state machine,Simulation modeling,Interconnection,Multiprocessor interconnection,Network model,Speedup,Distributed computing | Conference |
ISSN | ISBN | Citations |
1526-7539 E-ISBN : 978-1-4244-4928-6 | 978-1-4244-4928-6 | 0 |
PageRank | References | Authors |
0.34 | 2 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Diego Lugones | 1 | 35 | 9.77 |
| daniel franco | 2 | 24 | 6.18 |
| Eduardo Argollo | 3 | 0 | 0.34 |
| Emilio Luque | 4 | 1097 | 176.18 |