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

Won Seok Yang, Nam K. Kim, Sungjune Park () and Chandrasekar Subramaniam
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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

Annals of Operations Research, 2020, vol. 295, issue 1, No 18, 423 pages

Abstract: 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.

Keywords: Queueing systems; Voluntary flushing; Distributed denial of service attack (search for similar items in EconPapers)
Date: 2020
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DOI: 10.1007/s10479-020-03700-x

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