Reliability Aware Multiple Path Installation in Software-Defined Networking

Raza, Syed Mohsan; Ahvar, Shohreh; Amin, Rashid; Hussain, Mudassar

doi:10.3390/electronics10222820

Cited by 8 publications

(7 citation statements)

References 49 publications

(42 reference statements)

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“…It severely impacts overall QoS/QoE performance of SDN networks [18] [19]. Well-known approaches like OpenFlow [7] manages communication in between the controllers and switches [20]; however, so far it could not address any malicious assessment and proactive decision making. Merely, applying single network parameter such as packet delivery [20], congestion etc.…”

Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

“…Well-known approaches like OpenFlow [7] manages communication in between the controllers and switches [20]; however, so far it could not address any malicious assessment and proactive decision making. Merely, applying single network parameter such as packet delivery [20], congestion etc. as standalone parameter can't guarantee robustness over real-time dynamic SDNs [21].…”

Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

“…Yet, such multi-constraints condition might be NP-Hard problem and hence requires dynamic programming to improve failure recovery strategy while maintaining low latency. In Synchronization with multi-constraints decision adaptive (proactive) failure recovery method, it is inevitable to have complete network (synchronized) view [20]. This approach can not only help in applying multiple network parameters (pertaining to the deployed switches) to assess threat level and make proactive failure decision by enabling self-configuring multi-recovery path selection.…”

Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

See 2 more Smart Citations

HSPC-SDN: Heuristic Driven Self-Configuring Proactive Controller for QoS-Centric Software Defined Network

S¹,

Sreenath²

2023

IJCDS

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The exponential rise in software computing, low-cost hardware and allied application demands has broadened the horizon for wireless technologies to serve different purposes. Wireless communication systems being central to the modern innovation and industrial growth have given rise to the different communication ecosystems including internet of things, machine to machine communication, wireless local area network, Ad-hoc networks etc. However, coping with non-negotiable service level agreements have forced industries to ensure quality of service (QoS) and quality of experience demands. To meet such demands, software defined network (SDN) has gained widespread attention. The ability to enable higher programmability, flexibility and scalability makes SDN-based system viable; yet, guaranteeing their robustness towards dynamic network, link-failure and adaptive QoS-centric recovery has remained a challenge. In synchronization with this motive, in this paper a robust Heuristic Driven Self-Configuring Proactive Controller is designed for QoS-centric SDN network (HSPC-SDN). Unlike classical data-plane SDN controllers or allied routing solutions, HSPC-SDN performs multiconstraints risk assessment followed by heuristic driven disjoint multiple path selection to support proactive network failurerecovery. HSPC-SDN applies dynamic link-quality information, cumulative congestion degree, probability of successful transmission and link quality change index to perform best forwarding device selection to alleviate any malicious behaviour or malfunction during transmission. Subsequently, it applies genetic algorithm to perform disjoint multiple forwarding cum failure recovery path selection that in conjunction with AND logic function enables self-configuring route recovery to meet fault-tolerant QoS-centric communication. The proposed heuristic model exploits network availability information amalgamated with minimal distance and strictly no-shared component criteria to perform multiple disjoint forwarding-paths cum recovery-path selection. Simulation based results revealed that HSPC-SDN, which can be implemented as a standalone single data-plane controller as well as a middleware routing concept achieves superior average packet delivery rate of 98.03%, packet loss rate of 1.97%, recovery time of 1.66ms and energy consumption of 77.14mJ over other disjoint forwarding path based SDN controllers.

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Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

Section: Fig 1 An Illustration Of Sdn Architecturementioning

confidence: 99%

See 1 more Smart Citation

HSPC-SDN: Heuristic Driven Self-Configuring Proactive Controller for QoS-Centric Software Defined Network

S¹,

Sreenath²

2023

IJCDS

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“…However, such a design may not guarantee the reliability of the link as the network evolves, some switches could easily be overloaded leading to high congestion. RAF [82] calculates link reliability and installs minimum flow rules for multiple paths based on the reliability value of the path. Such value is appended to N paths, and the path with a higher value is chosen.…”

Section: A Routing With Flows Operations Awarementioning

confidence: 99%

Dynamic Routing and Failure Recovery Approaches for Efficient Resource Utilization in OpenFlow-SDN: A Survey

et al. 2022

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Software Defined Networks (SDN) is a new network paradigm that emerged to offer better network management through the separation of network control logic and data forwarding element. This separation speed up network innovation without the need to rely on the vendor-proprietary interface for network element configuration to forward packets. However, SDN is flow driven network, for each arrived flow, a feasible path is computed to forward the flow to its destination. Afterward, the SDN control logic process the corresponding routing and instruct the set of data forwarding elements to install them on their Flowtable to guide the routing process. Unfortunately, the network changes more frequently in dynamic large-scale networks and the Flowtable is a constraint with limited space. These challenges require the SDN controller to compute paths more often which may also need a large number of flow routing rules placement. In addition, the frequency of communication link failures increases lately. The successful deployment of SDN heavily depends on how it satisfies the reliability requirement with uninterrupted services. Several studies were conducted to compute the optimal path for data forward to meet their Quality of Service demand. Other studies focus on reducing the frequency of link failure. Some studies were conducted to manage the constraint Flowtable resources. This survey focuses on Routing rules placement, unoptimized routing, link, and switch load balancing, failure detection, and recovery. The paper extensively discusses each issue and analyzes the weakness of the current solutions. Finally, it highlights potential challenges that need future research attention.

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“…An augmented Fast Reroute (FRR) approach and a shortcut mechanism is introduced by authors in [21] to store the connectivity rapidly and to resolve unnecessary loops and detours. The authors in [22] have used an approach namely Reliability Aware Multiple Path Flow Rule calculating links reliability and installs minimum flow rules for multiple paths based on the reliability value of the primary path.…”

Section: Literature Surveymentioning

confidence: 99%

A Fast Failover Technique for Link Failures and Proactive controller based Fault Recovery Mechanism in Software Defined Networks

Kumar¹,

Sreen²

2022

Preprint

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In this work, a fast fault tolerant failure methodology is proposed to solve problems including single link and multi-link failure by including pre-established various alternate backup paths for each pair from origin to final destination. In addition, a Reliable fast failover technique for link faults and fault recovery mechanism using proactive controller Software defined Network (FF-FRM-SDN) is implemented by making use of openflow-enabled switches and applying a disjoint path selection methodology producing the best failure recovery mechanism and to achieve the high probability of successful transmission. To conclude, if any fault or failure is detected in SDN, the proposed recovery approach minimizes available packet loss by making use of alternate paths and proactively form flow rules by using flow rules to reduce the failure recovery time. From the simulation results obtained, the proposed FF_FRM_SDN method achieves considerably improved results w.r.t parameters like Packet loss Ratio, End-to-End delay (transmission delay) and Failure recovery time as compared with the other traditional SDN baseline approaches.

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Reliability Aware Multiple Path Installation in Software-Defined Networking

Cited by 8 publications

References 49 publications

HSPC-SDN: Heuristic Driven Self-Configuring Proactive Controller for QoS-Centric Software Defined Network

HSPC-SDN: Heuristic Driven Self-Configuring Proactive Controller for QoS-Centric Software Defined Network

Dynamic Routing and Failure Recovery Approaches for Efficient Resource Utilization in OpenFlow-SDN: A Survey

A Fast Failover Technique for Link Failures and Proactive controller based Fault Recovery Mechanism in Software Defined Networks

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