Netbench – large-scale network device testing with real-life traffic patterns
Creators
- 1. CERN, Geneva (Switzerland)
- 2. Università degli Studi di Cagliari (Italy)
Description
Network performance is key to the correct operation of any modern data centre infrastructure or data acquisition (DAQ) system. Hence, it is crucial to ensure the devices employed in the network are carefully selected to meet the required needs. Specialized commercial testers implement standardized tests [1, 2], which benchmark the performance of network devices under reproducible, yet artificial conditions. Netbench is a network-testing framework, relying on commodity servers and NICs, that enables the evaluation of network devices performance for handling traffic-patterns that closely resemble real-life usage, at a reasonably affordable price. We will present the architecture of the Netbench framework, its capabilities and how they complement the use of specialized commercial testers (e.g. competing TCP flows that create temporary congestion provide a good benchmark of buffering capabilities in real-life scenarios). Last but not least, we will describe how CERN used Netbench for performing large scale tests with partial-mesh and full-mesh TCP flows [3], an essential validation point during its most recent high-end routers call for tender.
Availability note (English)
Available from https://www.epj-conferences.org/articles/epjconf/pdf/2019/19/epjconf_chep2018_08005.pdf; https://doaj.org/article/45d6c37e065c44d8911965bd5e8884f0Additional details
Identifiers
Publishing Information
- Journal Title
- EPJ. Web of Conferences
- Journal Volume
- 214
- Journal Page Range
- vp.
- ISSN
- 2100-014X
Conference
- Title
- 23. International Conference on Computing in High Energy and Nuclear Physics
- Acronym
- CHEP 2018
- Dates
- 9-13 Jul 2018
- Place
- Sofia (Bulgaria)
INIS
- Country of Publication
- France
- Country of Input or Organization
- France
- INIS RN
- 53095785
- Subject category
- S97: MATHEMATICAL METHODS AND COMPUTING;
- Resource subtype / Literary indicator
- Conference
- Descriptors DEI
- BENCHMARKS; COMPUTER ARCHITECTURE; DATA ACQUISITION; OPERATION; PERFORMANCE
- Descriptors DEC
- DATA PROCESSING; PROCESSING