Name
Abstract | ||
|---|---|---|
Nowadays commodity hardware is offering an ever increasing degree of parallelism: CPUs are equipped with more and more cores and a new generation of NICs can dispatch packets across multiple queues. Software based network monitoring can leverage the opportunity offered by this new trend in order to target a level of performance which was unattainable with single core technologies. In this paper, which is the result of a thorough measurement campaign, we explore the potential of parallelism when coupled with existing packet capturing technologies and show how, by accurately tuning configurations, a huge performance gain can be obtained. We also show how minimal configuration changes can dramatically affect the overall throughput. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IWMN.2011.6088500 | M&N |
Keywords | Field | DocType |
parallel architectures,cpu,commodity hardware,multiple queues,packet capturing,parallel architecture,software based network monitoring,tuning configuration,network monitoring,instruction sets,layout,kernel,engines,hardware,parallel processing | Kernel (linear algebra),Single-core,Computer science,Instruction set,Degree of parallelism,Network packet,Software,Network monitoring,Throughput,Distributed computing,Embedded system | Conference |
ISBN | Citations | PageRank |
978-1-4577-0455-0 | 2 | 0.59 |
References | Authors | |
3 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Nicola Bonelli | 1 | 70 | 8.72 |
| Di Pietro, A. | 2 | 14 | 3.86 |
| Stefano Giordano | 3 | 609 | 86.56 |
| Procissi, G. | 4 | 2 | 0.59 |