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Take Your VNF to the Gym: A Testing Framework for Automated NFV Performance Benchmarking.

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Title: Take Your VNF to the Gym: A Testing Framework for Automated NFV Performance Benchmarking.
Authors: Rosa, Raphael Vicente, Bertoldo, Claudio, Rothenberg, Christian Esteve
Source: IEEE Communications Magazine. Sep2017, Vol. 55 Issue 9, p110-117. 8p.
Subjects: Computer network architectures, Virtual machine systems software, Quality of service, Cloud computing, Information superhighway
Abstract: A VNF is a software entity to be run in diverse execution environments with variable configuration options and capabilities (e.g., hardware acceleration) impacting performance. NFV resource multiplexed infrastructures can impose hard-topredict relationships between VNF performance metrics (e.g., latency, frame loss), the underlying allocated resources (e.g., units of vCPU), and the overall system workload. Characterized by many-fold platform configuration and environment variables, the evolving scenario of NFV calls for adequate testing methodologies embracing modern continuous development and integration practices and leveraging open source tools and mindset. To this end, we introduce Gym as our proposed testing framework and methodology for automated NFV performance benchmarking. We present our design principles and the outcomes from a practical validation on a vIMS scenario. A discussion of the lessons learned and the overall NFV performance testing landscape are further contributions of this article. [ABSTRACT FROM PUBLISHER]
Copyright of IEEE Communications Magazine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
Database: Engineering Source
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  Data: Take Your VNF to the Gym: A Testing Framework for Automated NFV Performance Benchmarking.
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  Data: <searchLink fieldCode="DE" term="%22Computer+network+architectures%22">Computer network architectures</searchLink><br /><searchLink fieldCode="DE" term="%22Virtual+machine+systems+software%22">Virtual machine systems software</searchLink><br /><searchLink fieldCode="DE" term="%22Quality+of+service%22">Quality of service</searchLink><br /><searchLink fieldCode="DE" term="%22Cloud+computing%22">Cloud computing</searchLink><br /><searchLink fieldCode="DE" term="%22Information+superhighway%22">Information superhighway</searchLink>
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  Data: A VNF is a software entity to be run in diverse execution environments with variable configuration options and capabilities (e.g., hardware acceleration) impacting performance. NFV resource multiplexed infrastructures can impose hard-topredict relationships between VNF performance metrics (e.g., latency, frame loss), the underlying allocated resources (e.g., units of vCPU), and the overall system workload. Characterized by many-fold platform configuration and environment variables, the evolving scenario of NFV calls for adequate testing methodologies embracing modern continuous development and integration practices and leveraging open source tools and mindset. To this end, we introduce Gym as our proposed testing framework and methodology for automated NFV performance benchmarking. We present our design principles and the outcomes from a practical validation on a vIMS scenario. A discussion of the lessons learned and the overall NFV performance testing landscape are further contributions of this article. [ABSTRACT FROM PUBLISHER]
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  Data: <i>Copyright of IEEE Communications Magazine is the property of IEEE and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1109/MCOM.2017.1700127
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        Text: English
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        Type: general
      – SubjectFull: Virtual machine systems software
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      – SubjectFull: Quality of service
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      – SubjectFull: Cloud computing
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      – SubjectFull: Information superhighway
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      – TitleFull: Take Your VNF to the Gym: A Testing Framework for Automated NFV Performance Benchmarking.
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