The increased demand for high-quality Internet connectivity resulting from the growing number of connected devices and advanced services has put significant strain on telecommunication networks. In response, cutting-edge technologies such as Network Function Virtualization (NFV) and Software Defined Networking (SDN) have been introduced to transform network infrastructure. These innovative solutions offer dynamic, efficient, and easily manageable networks that surpass traditional approaches. To fully realize the benefits of NFV and maintain the performance level of specialized equipment, it is critical to assess the behavior of Virtual Network Functions (VNFs) and the impact of virtualization overhead. This paper delves into understanding how various factors such as resource allocation, consumption, and traffic load impact the performance of VNFs. We aim to provide a detailed analysis of these factors and develop analytical functions to accurately describe their impact. By testing VNFs on different testbeds, we identify the key parameters and trends, and develop models to generalize VNF behavior. Our results highlight the negative impact of resource saturation on performance and identify the CPU as the main bottleneck. We also propose a VNF profiling procedure as a solution to model the observed trends and test more complex VNFs deployment scenarios to evaluate the impact of interconnection, co-location, and NFV infrastructure on performance.

Troia, S., Savi, M., Nava, G., Zorello, L., Schneider, T., Maier, G. (2023). Performance Characterization and Profiling of Chained CPU-bound Virtual Network Functions. COMPUTER NETWORKS, 231(July 2023), 1-15 [10.1016/j.comnet.2023.109815].

Performance Characterization and Profiling of Chained CPU-bound Virtual Network Functions

Savi M.;
2023

Abstract

The increased demand for high-quality Internet connectivity resulting from the growing number of connected devices and advanced services has put significant strain on telecommunication networks. In response, cutting-edge technologies such as Network Function Virtualization (NFV) and Software Defined Networking (SDN) have been introduced to transform network infrastructure. These innovative solutions offer dynamic, efficient, and easily manageable networks that surpass traditional approaches. To fully realize the benefits of NFV and maintain the performance level of specialized equipment, it is critical to assess the behavior of Virtual Network Functions (VNFs) and the impact of virtualization overhead. This paper delves into understanding how various factors such as resource allocation, consumption, and traffic load impact the performance of VNFs. We aim to provide a detailed analysis of these factors and develop analytical functions to accurately describe their impact. By testing VNFs on different testbeds, we identify the key parameters and trends, and develop models to generalize VNF behavior. Our results highlight the negative impact of resource saturation on performance and identify the CPU as the main bottleneck. We also propose a VNF profiling procedure as a solution to model the observed trends and test more complex VNFs deployment scenarios to evaluate the impact of interconnection, co-location, and NFV infrastructure on performance.
Articolo in rivista - Articolo scientifico
Monitoring; Network Function Virtualization; Profiling; Service Function Chain; Software defined networking; Virtual firewall; Virtual Network Function; Virtual router;
English
12-mag-2023
2023
231
July 2023
1
15
109815
partially_open
Troia, S., Savi, M., Nava, G., Zorello, L., Schneider, T., Maier, G. (2023). Performance Characterization and Profiling of Chained CPU-bound Virtual Network Functions. COMPUTER NETWORKS, 231(July 2023), 1-15 [10.1016/j.comnet.2023.109815].
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/10281/416796
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