Configuring a Software Router by the Erlang-&lt;inline-formula&gt; 
                     &lt;tex-math notation="LaTeX"&gt;$k$ &lt;/tex-math&gt;
                  &lt;/inline-formula&gt;-Based Packet Latency Prediction

Suksomboon, Kalika; Matsumotos, Nobutaka; Okamoto, Satoru; Hayashi, Michiaki; Ji, Yusheng

doi:10.1109/jsac.2018.2815420

Cited by 6 publications

(2 citation statements)

References 32 publications

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“…Numerous studies have been performed to analyze the network latency from different aspects such as the underlying software architecture [36] and the impact of control plane [37]. From the modeling perspective, single devices, such as general software switches [38], software DPDK switch [39], OpenFlow switch [25], [40] and VNF [41], and networks ranging from switches [42], [43] and VNF chains [44] are covered in depth. The models applied include stochastic models based on queuing theory [25], [43], [45] and network calculus [46].…”

Section: Related Workmentioning

confidence: 99%

P8: P4 With Predictable Packet Processing Performance

Harkous

Jarschel

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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Data plane programmability brings network flexibility to a new level. However, it introduces the complexity of the data path's program as a new factor that influences packet forwarding latency and thus devices' performance. Accurate identification of the relation between data path complexity and packet forwarding latency enables the design and management of networks with predictable performance.In this paper, we leverage the characteristics of P4 programming language to provide a method for estimating the packet forwarding latency as a function of the data path program. We analyze the impact of different P4 constructs on packet processing latency for three state-of-the-art P4 devices: Netronome SmartNIC, NetFPGA-SUME, and T4P4S DPDK-based software switch. Besides comparing the performance of these three targets, we use the derived results to propose a method for estimating the average packet latency, at compilation time, of arbitrary P4-based network functions implemented using the surveyed P4 constructs. The proposed method is finally validated using a set of realistic network functions, which shows that our method estimates the average packet latency with sub-microsecond precision.

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Section: Related Workmentioning

confidence: 99%

P8: P4 With Predictable Packet Processing Performance

Harkous

Jarschel

et al. 2021

IEEE Trans. Netw. Serv. Manage.

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“…The paper [29] deals with the configuration of a software router to ensure the minimum average packet delay in networks. The proposed model for predicting the packet delay uses Erlang-k distribution, and based on that, it presented a measurement system that interacts with the function of virtualization and network function management to improve the efficiency of network management.…”

Section: Related Workmentioning

confidence: 99%

Virtual Router Design and Modeling for Future Networks with QoS Guarantees

et al. 2021

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A virtual router model with a static and dynamic resource reconfiguration for future internet networking was developed. This technique allows us to create efficient virtual devices with optimal parameters (queue length, queue overflow management discipline, number of serving devices, mode of serving devices) to ensure the required level of quality of service (QoS). An analytical model of a network device with virtual routers is proposed. By means of the mentioned mathematical representation, it is possible to determine the main parameters of the virtual queue system, which are based on the first in, first out (FIFO) algorithm, in order to analyze the efficiency of network resources utilization, as well as to determine the parameters of QoS flows, for a given intensity of packets arrival at the input interface of the network element. In order to research the guaranteed level of QoS in future telecommunications networks, a simulation model of a packet router with resource virtualization was developed. This model will allow designers to choose the optimal parameters of network equipment for the organization of virtual routers, which, in contrast to the existing principle of service, will provide the necessary quality of service provision to end users in the future network. It is shown that the use of standard static network device virtualization technology is not able to fully provide a guaranteed level of QoS to all present flows in the network by the criterion of minimum delay. An approach for dynamic reconfiguration of network device resources for virtual routers has been proposed, which allows more flexible resource management at certain points in time depending on the input load. Based on the results of the study, it is shown that the dynamic virtualization of the network device provides a guaranteed level of QoS for all transmitted flows. Thus, the obtained results confirm the feasibility of using dynamic reconfiguration of network device resources to improve the quality of service for end users.

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Performance Modeling of Virtual Packet Forwarding Functions for Wireless Network Virtualization

Suksomboon¹

2019

Encyclopedia of Wireless Networks

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Configuring a Software Router by the Erlang-<inline-formula> <tex-math notation="LaTeX">$k$ </tex-math> </inline-formula>-Based Packet Latency Prediction

Cited by 6 publications

References 32 publications

P8: P4 With Predictable Packet Processing Performance

P8: P4 With Predictable Packet Processing Performance

Virtual Router Design and Modeling for Future Networks with QoS Guarantees

Performance Modeling of Virtual Packet Forwarding Functions for Wireless Network Virtualization

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