On Fair Rule Caching in Software Defined Radio Access Networks

Rastegar, Seyed Hamed; Abbasfar, Aliazam; Shah-Mansouri, Vahid

doi:10.1109/lwc.2017.2785256

Cited by 9 publications

(10 citation statements)

References 13 publications

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“…This is why many studies proposed to pre-calculate and pre-deploy flow rules [9], [11], [23], [25]- [27]. Different use cases have been considered: fair flow table entries' repartition between users [25], efficient occupancy ratio of flow tables [9], [23], [26], [27] and flow tables management in uncovered areas [11]. Nevertheless, pre-deployment is always applied with the same objective: to limit the number of requests sent by the network devices to the SDN controller and to enable an instantaneous mobility management.…”

Section: Related Workmentioning

confidence: 99%

“…Indeed, these exchanges between SDN controllers and network devices induce a communication delay and increase the control chan-nel load. With these approaches [9], [11], [23], [25]- [27], flow rules are pre-deployed within network devices. Thus, when a vehicle connects to a new BS, the communication continuity can be ensured without any intervention of the SDN controller, reducing the number of exchanges.…”

Section: Related Workmentioning

confidence: 99%

“…In existing solutions [9], [11], [23], [25]- [27], the calculation of this value is only based on vehicles mobility prediction, using the observables fed back from vehicles (position, direction, speed) and BSs (connections/disconnections). These observables are classified according to vehicle speed.…”

Section: Flow Rules' Hard Timeout Calculationmentioning

confidence: 99%

“…In the defined simulation area a variable number of vehicles were considered (18)(19)(20)(21)(22)(23)(24)(25)(26)(27)(28)(29)(30)(31)(32)(33)(34)(35)(36), travelling at variable speed (8-20m/s). The mobility model that we used for this simulation is one of the models usually used in urban areas: the Manhattan Mobility Model [43].…”

Section: A Experimental Setupmentioning

confidence: 99%

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Load-Aware and Mobility-Aware Flow Rules Management in Software Defined Vehicular Access Networks

2020

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To ensure high performance for vehicular access networks, Software Defined Networking (SDN) technology is an efficient solution offering programmability, flexibility and a centralized view of the network. Nevertheless, to guarantee an efficient mobility management, some improvements are needed. In particular, a limitation on the number of exchanges between SDN controller and network devices and a better flow tables' management are required. To achieve that, the ideas of flow rules' pre-deployment and mobility-aware management of flow rules' lifetime have been proposed. However, existing approaches have two major limitations: accuracy and adaptability. Indeed, network load (accuracy) and network devices' feedbacks (adaptability) are not considered, two factors impacting flow rules management. That is why, in this paper, we define a state-based approach using connection/disconnection information reported by network devices to improve adaptability. Moreover, we propose a mobility-aware and load-aware flow rules management to improve accuracy. Finally, we specify a new flow rules' pre-deployment policy based on flow tables occupancy rate, vehicles mobility and SDN control channel load. The evaluations carried out confirm the benefits of the approach, compared to existing solutions, both in terms of recovery delay, control overhead, hard timeout calculation and flow table occupancy.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Flow Rules' Hard Timeout Calculationmentioning

confidence: 99%

Section: A Experimental Setupmentioning

confidence: 99%

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Load-Aware and Mobility-Aware Flow Rules Management in Software Defined Vehicular Access Networks

2020

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“…In recent years, several works have designed schemes to solve various fair problems in wireless network. In [25], Rastegar et al established a fair allocation scheme regarding of flow table spaces to reduce the delay of users in software defined radio (SDR) access networks when user information is obtained from the controller. In [26], Yang et al used logarithmic utility functions to ensure the user fairness in light modulation of the multi-user visible light communications (VLC).…”

Section: Related Workmentioning

confidence: 99%

Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles

Xia

Fan

et al. 2018

Sensors

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Platooning strategy is an important component of autonomous driving technology. Autonomous vehicles in platoons are often equipped with a variety of on-board sensors to detect the surrounding environment. The abundant data collected by autonomous vehicles in platoons can be transmitted to the infrastructure through vehicle-to-infrastructure (V2I) communications using the IEEE 802.11 distributed coordination function (DCF) mechanism and then uploaded to the cloud platform through the Internet. The cloud platform extracts useful information and then sends it back to the autonomous vehicles respectively. In this way, autonomous vehicles in platoons can detect emergency conditions and make a decision in time. The characteristics of platoons would cause a fair-access problem in the V2I communications, i.e., vehicles in the platoons moving on different lanes with different velocities would have different resident time within the infrastructure’s coverage and thus successfully send different amounts of data to the infrastructure. In this case, the vehicles with different velocities will receive different amounts of useful information from the cloud. As a result, vehicles with a higher velocity are more likely to suffer from a traffic accident as compared to the vehicles with a lower velocity. Hence, this paper considers the fair-access problem and proposes a fair-access scheme to ensure that vehicles with different velocities successfully transmit the same amount of data by adaptively adjusting the minimum contention window of each vehicle according to its velocity. Moreover, the normalized throughput of the proposed scheme is derived. The validity of the fair-access scheme is demonstrated by simulation.

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End-to-End Delay Minimization-Based Joint Rule Caching and Flow Forwarding Algorithm for SDN

et al. 2020

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Software-defined networking (SDN) technology is expected to offer higher flexibility and programmability and enhanced transmission performance by decoupling control plane from data plane and enabling centralized network management. In SDN, switches may cache a certain number of flow forwarding rules, so that user flows can be forwarded accordingly. In this article, stressing the limited caching space of switches and the heterogeneous transmission performance of switches and links, we jointly design rule caching and flow forwarding strategy for multiple user flows in SDN. To emphasize the importance of the end-to-end delay caused by the transmission and processing of user flows in both the data plane and control plane, we formulate the joint optimization problem as an end-to-end delay minimization problem. As the original optimization problem is a non-deterministic polynomial hard (NP-hard) problem, which cannot be solved directly, we propose a heuristic algorithm which successively solves three subproblems, i.e., flow forwarding subproblem, rule caching and candidate path selection subproblem, and resource sharing subproblem. By applying the K-shortest path algorithm, a priority-based rule caching algorithm, and Lagrangian dual method, respectively, the three subproblems are solved and the joint rule caching and flow forwarding strategy is obtained. Simulation experiments are conducted to examine the effectiveness of the proposed algorithm, and the results indicate that our proposed algorithm is capable of improving system performance by about 20% compared with the previous solutions.INDEX TERMS Software-defined networking, end-to-end delay, rule caching, flow forwarding, resource sharing.

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On Fair Rule Caching in Software Defined Radio Access Networks

Cited by 9 publications

References 13 publications

Load-Aware and Mobility-Aware Flow Rules Management in Software Defined Vehicular Access Networks

Load-Aware and Mobility-Aware Flow Rules Management in Software Defined Vehicular Access Networks

Velocity-Adaptive V2I Fair-Access Scheme Based on IEEE 802.11 DCF for Platooning Vehicles

End-to-End Delay Minimization-Based Joint Rule Caching and Flow Forwarding Algorithm for SDN

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