Control frameworks in network emulation testbeds: A survey

Pang Wei Tsai, Francesco Piccialli, Chun Wei Tsai, Mon Yen Luo, Chu Sing Yang

Research output: Contribution to journalArticle

4 Citations (Scopus)

Abstract

The network emulation testbed is a promising research area because it provides a platform to fulfill testing requirements, creating emulated environments for conducting experiments. Through such testbeds, heterogeneous resources can be well controlled as emulated environment, and new ideas can be verified in the environment without interfering the real world. Thus, it can be used to reduce the time of the developers for conducting experiment to explore new inventions. Various kinds of network emulation testbed have been around for years, and it can be expected that more testbeds will emerge. To provide an integrated perspective of network emulation testbed, this paper surveys the issues associated in developing network emulation testbeds, including the state-of-the-art of architecture, the interoperability of orchestrating resources, and the way of managing components. Several wide-area, geographically distributed and large-scale network testbeds have been reviewed and discussed. Finally, critical research findings, open issues, and possible future research directions have also been provided.

Original languageEnglish
Pages (from-to)148-161
Number of pages14
JournalJournal of Computational Science
Volume22
DOIs
Publication statusPublished - 2017 Sep

Fingerprint

Emulation
Testbeds
Testbed
Resources
Patents and inventions
Framework
Interoperability
Experiment
Experiments
Testing
Requirements

All Science Journal Classification (ASJC) codes

  • Theoretical Computer Science
  • Computer Science(all)
  • Modelling and Simulation

Cite this

Tsai, Pang Wei ; Piccialli, Francesco ; Tsai, Chun Wei ; Luo, Mon Yen ; Yang, Chu Sing. / Control frameworks in network emulation testbeds : A survey. In: Journal of Computational Science. 2017 ; Vol. 22. pp. 148-161.
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Control frameworks in network emulation testbeds : A survey. / Tsai, Pang Wei; Piccialli, Francesco; Tsai, Chun Wei; Luo, Mon Yen; Yang, Chu Sing.

In: Journal of Computational Science, Vol. 22, 09.2017, p. 148-161.

Research output: Contribution to journalArticle

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