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Improving service in the presence of surge traffic: a K-policy voluntary flushing queueing system

Author

Listed:
  • Won Seok Yang

    (Hannam University)

  • Nam K. Kim

    (Chonnam National University)

  • Sungjune Park

    (The University of North Carolina at Charlotte)

  • Chandrasekar Subramaniam

    (The University of North Carolina at Charlotte)

Abstract

Unexpected surge in online services causes poor performance and makes it challenging for the service provider to differentiate and serve genuine users. In this paper, we propose a novel approach using voluntary flushing to mitigate disruptions caused by surge traffic, such as distributed denial of service (DDoS) attacks on e-commerce websites. Voluntary flushing of customers has never been modeled because flushing was perceived negatively for customer service. We show that it may not be the case in today’s online services. We propose three queueing performance measures to evaluate the system and present optimal policies for flushing under various scenarios. We use DDoS attacks as use-case to present numerical analysis and discuss the implications of the flushing policies.

Suggested Citation

  • Won Seok Yang & Nam K. Kim & Sungjune Park & Chandrasekar Subramaniam, 2020. "Improving service in the presence of surge traffic: a K-policy voluntary flushing queueing system," Annals of Operations Research, Springer, vol. 295(1), pages 411-423, December.
  • Handle: RePEc:spr:annopr:v:295:y:2020:i:1:d:10.1007_s10479-020-03700-x
    DOI: 10.1007/s10479-020-03700-x
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    References listed on IDEAS

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    1. D Worthington, 2009. "Reflections on queue modelling from the last 50 years," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 83-92, May.
    2. Daniel P. Heyman, 1968. "Optimal Operating Policies for M / G /1 Queuing Systems," Operations Research, INFORMS, vol. 16(2), pages 362-382, April.
    3. Alexander Dudin & Varghese Jacob & Achyutha Krishnamoorthy, 2015. "A multi-server queueing system with service interruption, partial protection and repetition of service," Annals of Operations Research, Springer, vol. 233(1), pages 101-121, October.
    4. A. Krishnamoorthy & S. Jaya & B. Lakshmy, 2015. "Queues with interruption in random environment," Annals of Operations Research, Springer, vol. 233(1), pages 201-219, October.
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