Challenges and solutions to consistent data plane update in software defined networks

Komajwar, Sharvari; Korkmaz, Turgay

doi:10.1016/j.comcom.2018.08.008

Cited by 9 publications

(4 citation statements)

References 41 publications

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“…There is a need for a hardware-based method to schedule the packets processing sequence, allowing real-time detection of RAW hazards and utilizing hardware mechanisms to avoid RAW hazards while minimizing hardware pipeline stalls. However, the current methods [9,[11][12][13][14][15] can not meet these requirements simultaneously. OPP proposed a hardware implementable state data plane architecture, but it did not consider the consistency of the flow state, which has potential risks.…”

Section: Limitations Of Prior Artmentioning

confidence: 99%

An FPGA-Based High-Performance Stateful Packet Processing Method

Lu,

Guo

2023

Micromachines

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Compared to a stateless data plane, a stateful data plane offloads part of state information and control logic from a controller to a data plane to reduce communication overhead and improve packet processing efficiency. However, existing methods for implementing stateful data planes face challenges, particularly maintaining state consistency during packet processing and improving throughput performance. This paper presents a high-performance, FPGA (Field Programmable Gate Array)-based stateful packet processing approach, which addresses these challenges utilizing the PHV (Packet Header Vector) dynamic scheduling technique to ensure flow state consistency. Our experiments demonstrate that the proposed method could operate at 200 MHz while adding 3–12 microseconds latency. The method we proposed also provides a considerable degree of programmability.

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Section: Limitations Of Prior Artmentioning

confidence: 99%

An FPGA-Based High-Performance Stateful Packet Processing Method

Lu,

Guo

2023

Micromachines

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“…For example the red community has 4 inter community links and 7 intra-community links, Red (4,7). The remaining communities are summarized: Blue (5,9), Green (4,8), Orange (8,10) and Yellow (4,6).…”

Section: Examplementioning

confidence: 99%

“…On one hand, protection mechanisms are expensive [5] as they require two paths to be installed for each flow and this could overwhelm critical network resources such as switch Ternary Content Addressable Memory (TCAM). Moreover, the backup path may not be available when it is needed.…”

Section: Introductionmentioning

confidence: 99%

Rapid Restoration Techniques for Software-Defined Networks

2020

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There is increasing demand in modern day business applications for communication networks to be robust and reliable due to the complexity and critical nature of such applications. As such, data delivery is expected to be reliable and secure even in the harshest of environments. Software-Defined Networking (SDN) is gaining traction as a promising approach for designing network architectures which are robust and flexible. One reason for this is that separating the data plane from the control plane, increases the controller’s ability to configure the network rapidly. When network failure events occur, the network manager may trade-off the optimality of the achieved network reconfiguration with the responsivenss of the reconfiguration process. Responsiveness may be favoured when the network resources are under stress and the failure rate is high. We contribute SDN recovery methods that leverage information about the structure of the network to expedite network restoration when a link failure occurs. They operate by detecting community-like structures in the network topology and then they find alternative paths which have low operation and installation costs using this information. Extensive simulations are conducted to evaluate the proposed SDN recovery methods using open-source simulation tools. They provide evidence that the proposed approaches lead to performance gains when an alternative path is required among a set of candidate paths.

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“…flow intensity, new connection from host are handled by the controller through sending forwarding rules to switches' flow tables. Route updates(also called network updates) which remarkably improve network performance is one of the most popular research aspects in SDN [7]. Usually, route updates can be divided into two stages as traffic selection and flow table update scheduling.…”

Section: Introductionmentioning

confidence: 99%

TRUS: Towards the Real-Time Route Update Scheduling in SDN for Data Centers

et al. 2020

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Periodically data plane update is a necessary task in Software Defined Networking(SDN). Most prior approaches update many flows without considering which flows should be updated. Hence, most of them get long update delay. However, due to the dramatic increase of data arriving in data centers in the coming 5G networks, flows to be updated should be carefully chosen. Otherwise, unsatisfactory update delay may occur, which will make the route after the reconfiguration invalid for most flows and even bring about a poor user experience. In this paper, we present a Timely Route Update Scheme(TRUS). Different from previously proposed update approaches, TRUS not only meets the real-time route update demand for data centers, but also guarantees bandwidth requirements of delay-sensitive flows. Further, it can avoid the congestion on ''hot'' links in the update process. Simulation results verify the effectiveness of our scheme and demonstrate it can largely cut down the route update latency while obtaining a good network performance when comparing with some former approaches. INDEX TERMS Software defined networking, fuzzy quantifier, update scheduling, bandwidth requirement.

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Challenges and solutions to consistent data plane update in software defined networks

Cited by 9 publications

References 41 publications

An FPGA-Based High-Performance Stateful Packet Processing Method

An FPGA-Based High-Performance Stateful Packet Processing Method

Rapid Restoration Techniques for Software-Defined Networks

TRUS: Towards the Real-Time Route Update Scheduling in SDN for Data Centers

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