Name
Abstract | ||
|---|---|---|
Network flow monitoring provides critical information for many network applications, and several approaches have been proposed to address flow monitoring. However they either lack flexibility in adapting to ever-changing network traffic (e.g. NetFlow), or require intensive computing resources (e.g. ANF). In this paper, we propose a resource-efficient flow monitoring system (called REFMS), which co... |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/LCOMM.2007.070198 | IEEE Communications Letters |
Keywords | Field | DocType |
Monitoring,Sampling methods,Internet,Adaptive systems,Computer crime,Computer networks,Computer science education,Educational programs,Computer science,High-speed networks | Flow network,NetFlow,Adaptive system,Computer science,Computer network,Real-time computing,Resource allocation,Condition monitoring,Sampling (statistics),Internet traffic,The Internet | Journal |
Volume | Issue | ISSN |
11 | 6 | 1089-7798 |
Citations | PageRank | References |
4 | 0.41 | 5 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Guang Cheng | 1 | 61 | 26.17 |
| Jian Gong | 2 | 36 | 12.67 |