Name
Abstract | ||
|---|---|---|
Scientific applications (SciApps) are broadly used in all science domains. For more accurate results, they have been increasingly demanding computational power and extremely agile networks. These applications are usually implemented using numerical methods presenting well-behaved patterns to exchange data across its computing nodes. This paper presents SpateN, a tool that exploits the spatial communication patterns of SciApps as the fundamental logic to drive the network programming. SpateN classifies the SciApps nodes communications and balances the elephant flows across the available network paths. As a proof of concept, we carried out a set of experiments in real testbeds, demonstrating that network programming may affect the performance of SciApps significantly. Also, a balanced flow allocation can speed up SciApps to near-optimal execution times. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/LCN.2016.42 | 2016 IEEE 41st Conference on Local Computer Networks (LCN) |
Keywords | Field | DocType |
Software-Defined Networking,Scientific Applications,Communication Patterns | Carving,Computer science,Computer network,Network topology,Exploit,Agile software development,Proof of concept,Software-defined networking,Computer network programming,Distributed computing,Speedup | Conference |
ISSN | ISBN | Citations |
0742-1303 | 978-1-5090-2055-3 | 1 |
PageRank | References | Authors |
0.35 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Celio Trois | 1 | 1 | 0.35 |
| Luis Carlos Erpen De Bona | 2 | 228 | 17.69 |
| Marcos Didonet Del Fabro | 3 | 273 | 34.14 |
| Magnos Martinello | 4 | 1 | 0.69 |