Towards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling

dc.contributor.authorPatil, S.D.
dc.contributor.authorTahiliani, M.P.
dc.date.accessioned2026-02-05T09:30:41Z
dc.date.issued2019
dc.description.abstractIn this study, a modified fluid model is proposed to understand the design of controlled delay (CoDel) algorithm for active queue management (AQM) and analyse its sensitivity to parameter settings. CoDel significantly differs from other AQM algorithms because it operates at the head of the queue and adopts a deterministic packet drop strategy, unlike other algorithms that operate at the tail and adopt a probabilistic packet drop strategy. The correctness of the proposed fluid model is verified by comparing its results with those obtained from ns-2. Subsequently, using the model developed in this study, the authors analyse the performance of CoDel algorithm by changing its internal parameters and modifying its control law. They highlight the role of the internal parameters and control law on the ability of the CoDel algorithm to control queue delay. Their analysis shows that the CoDel algorithm is sensitive to its parameter settings and that its control law requires minor modifications to gain a better control over the queue delay. © The Institution of Engineering and Technology 2018.
dc.identifier.citationIET Networks, 2019, 8, 1, pp. 59-66
dc.identifier.issn20474954
dc.identifier.urihttps://doi.org/10.1049/iet-net.2018.5112
dc.identifier.urihttps://idr.nitk.ac.in/handle/123456789/24855
dc.publisherInstitution of Engineering and Technology journals@theiet.org
dc.subjectControl theory
dc.subjectDrops
dc.subjectPacket loss
dc.subjectQueueing networks
dc.subjectQueueing theory
dc.subjectActive Queue Management
dc.subjectAQM algorithms
dc.subjectFluid modeling
dc.subjectFluid modelling
dc.subjectInternal parameters
dc.subjectPacket drops
dc.subjectParameter setting
dc.subjectSensitivity to parameters
dc.subjectParameter estimation
dc.titleTowards a better understanding and analysis of controlled delay (CoDel) algorithm by using fluid modelling

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