A tool for the generation of realistic network workload for emerging networking scenarios

By Alessio Botta, Alberto Dainotti, Antonio Pescapè. Comput. Networks, 2012

481 citations recorded by the source corpus.

Subfields: Computer Networks and Communications

View Paper: https://www.semanticscholar.org/paper/8687d1938bf4459e3c4a66e2b69136bf081038d4

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Computer Networks and Communications

1. Giuseppe Aceto
2. Antonio Pescapè
3. Ernesto Exposito
4. Alessio Botta
5. Walter de Donato
6. S. Geetha
7. Shiramshetty Gouthami

Citations in the corpus

• Cloud monitoring: A survey (2013, background): “This analysis evidenced that while different contributions have been provided in terms of studies of real and synthetic workloads, an important remaining challenge is that of workload generators specifically designed for Cloud scenarios (see e.g. [124] for emerging networking scenarios).”
• Towards the Deployment of Machine Learning Solutions in Network Traffic Classification: A Systematic Survey (2019, background): “The work in [67] reviews some of the most popular tools for traffic generation, and proposes a synthetic workload generator that can be used as a platform to place both flow and model based generation approaches.”