Time-Dependent Pricing for On-Demand Bandwidth Slicing in Software Defined Networks | IEEE Conference Publication | IEEE Xplore

Time-Dependent Pricing for On-Demand Bandwidth Slicing in Software Defined Networks


Abstract:

In this paper, we propose a time-dependent pricing (TDP) scheme for bandwidth consumption scheduling of multimedia streaming applications. By decoupling the network contr...Show More

Abstract:

In this paper, we propose a time-dependent pricing (TDP) scheme for bandwidth consumption scheduling of multimedia streaming applications. By decoupling the network control functions from data delivery, software defined network (SDN) enables multimedia streaming users to negotiate their QoS parameters in a on-demand basis. Our key idea is to employ TDP as an incentive mechanism in SDN to motivate users to shift their delay-tolerant traffic demand, and free up resources for delay-sensitive applications in peak-time. Then, a Stackelberg game is formulated to analyze the interactions between the ISP and users. Next, we proposed a greedy algorithm to obtain the optimal congestion price and bandwidth slicing in each time slot based on real-time traffic load as well as users' preferences for delay. Finally, simulation results confirm that the proposed method can significantly flatten out traffic fluctuation.
Date of Conference: 25-29 June 2018
Date Added to IEEE Xplore: 30 August 2018
ISBN Information:
Electronic ISSN: 2376-6506
Conference Location: Limassol, Cyprus

References

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