Published 2019 | Version v1
Journal article

Netbench – large-scale network device testing with real-life traffic patterns

  • 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/45d6c37e065c44d8911965bd5e8884f0

Additional details

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