Early Flow Table Eviction Impact on Delay and Throughput in Software-Defined Networks

Humayun, Usman; Hamdan, Mosab; Marsono, Muhammad Nadzir

doi:10.1109/iccsce52189.2021.9530933

Cited by 5 publications

(2 citation statements)

References 26 publications

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“…It provides centralized control, programmability of the network, less capital cost, less operational cost, less agility, higher flexibility, easy customization and neutrality. Due to its popularity and scope in the field of networking, it is being adopted by academia and giant IT organizations [27]. Also, network modification is less error-prone and easier to carry out.…”

Section: Theoretical Background 31 Software-defined Networking (Sdn)mentioning

confidence: 99%

Performance evaluation of software-defined networking controllers in wired and wireless networks

2023

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Traditional networking solutions are unable to meet modern computing needs due to the expanding popularity of the internet, which requires increased agility and flexibility. To meet these objectives, software-defined networking (SDN) arises. A controller is a major element that will determine if SDN succeeds or fails. Various current SDN controllers in many sectors must be evaluated and compared. The performance of two well-known SDN controllers, POX and Ryu, is evaluated in this research. We used the Mininet-WiFi emulator to implement our work and the distributed internet traffic generator (D-ITG) to assess the aforementioned controllers using delay, jitter, packet loss, and throughput metrics. What is new in our research is the study of network performance in two different types of transmission media: wired and wireless. The speed of the wired medium was chosen to be fast ethernet, which was not previously studied. In addition, the size of the packet was varied among 128, 256, 512, and 1,024 bytes. The comparison was performed on three topologies (single, linear, and tree). The experimental results showed that Ryu offers significantly lower latency, jitter, and packet loss than POX in most scenarios. Also, the Ryu controller has higher throughput than POX, especially on wireless networks.

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Section: Theoretical Background 31 Software-defined Networking (Sdn)mentioning

confidence: 99%

Performance evaluation of software-defined networking controllers in wired and wireless networks

2023

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“…A similar idea has been implemented for Stream Control Transmission protocol in Ying et al 17 Both works have reduced the flow table size by 80%. Humayun et al 18 have conducted experiments among LRU, FIFO, and random eviction policies with different threshold values for flow bloat conditions. It has been identified that LRU demonstrates reduced delay and increased throughput.…”

Section: Background and Motivationmentioning

confidence: 99%

A novel eviction policy based on shortest remaining time for software defined networking flow tables

Dhandapani,

Thanganadar Thangathai,

Hamead Haja Moinudeen

2023

Int J Network Mgmt

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SummarySoftware defined networking is a modern paradigm that divides the control plane from the data plane for improved network manageability. A flow table in the data plane has limited and expensive memory called TCAM. The presence of unwanted flow rules would lead to flow bloat conditions and make the lookup operation inefficient. Eviction schemes based on LRU policy have been widely studied in the literature which preempts the life of the least recently used flow rule and reduces the occupancy of the flow table. LRU considers the past behavior for the eviction of a flow rule. This paper proposes a novel policy that preempts a flow rule by considering its future characteristic, the shortest remaining time (SRT). A rule with a higher probability of being used is avoided from eviction to mitigate the degradation of performance. The modeling of the SRT technique exhibits better utilization of a flow rule that has higher probability of being used. On the other hand, LRU does not guarantee that the evicted flow rule will not be used frequently in the future and it has been shown that an incorrectly evicted flow rule incurs controller delay. The experimental results show that for different traffic rates, SRT has reduced the delay by 15%, reinstallation count by 25%, and jitter by 40%. SRT has increased utilization by 22% compared to LRU.

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Flow-based Service Time optimization in software-defined networks using Deep Reinforcement Learning

Jiménez-Lázaro,

Berrocal,

Galán-Jiménez

2024

Computer Communications

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Early Flow Table Eviction Impact on Delay and Throughput in Software-Defined Networks

Cited by 5 publications

References 26 publications

Performance evaluation of software-defined networking controllers in wired and wireless networks

Performance evaluation of software-defined networking controllers in wired and wireless networks

A novel eviction policy based on shortest remaining time for software defined networking flow tables

Flow-based Service Time optimization in software-defined networks using Deep Reinforcement Learning

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