Convergence, stability and robustness analysis of the OFEX controller for high-speed networks

Liu, Jungang; Yang, O.W.W.

doi:10.1007/s11768-016-5034-9

Cited by 4 publications

(2 citation statements)

References 13 publications

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“…The issue of security is not new to control field, in particular in the areas of fault detection [3] and fault tolerant control [4]. Owing to the rapid improvement of the cyber system, the research of network control system has aroused wide concern, such as [5], which proposed the control strategy for high‐speed networks. Therefore, more attention is focused on the cyber security of control systems rather than physical faults.…”

Section: Introductionmentioning

confidence: 99%

Controllability and observability of CPSs under networked adversarial attacks

2017

IET Control Theory & Applications

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Section: Introductionmentioning

confidence: 99%

Controllability and observability of CPSs under networked adversarial attacks

2017

IET Control Theory & Applications

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“…We have noticed that the traditional controllers, explicit control protocol (XCP) [28] and rate control protocol (RCP) [29], relax such an issue by considering persistent or instantaneous queue size in their models under a fixed link capacity. However, both of them are based on the classical linear time-invariant control models and not NUM-based models [30].…”

Section: Introductionmentioning

confidence: 99%

OFEX Controller to Improve Queueing and User Performance in Multi-bottleneck Networks

Liu¹,

Yang²

2014

ETRI J

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We have designed and investigated a new congestion control scheme, called optimal and fully explicit (OFEX) controller. Different from existing relatively explicit controllers, this new scheme can provide not only optimal bandwidth allocation but also a fully explicit congestion signal to sources. It uses the congestion signal from the most congested link instead of the cumulative signal from the flow path. In this way, it overcomes the drawback of relatively explicit controllers exhibiting bias toward multi‐bottlenecked users and significantly improves their convergence speed and source throughput performance. Furthermore, our OFEX‐controller design considers a dynamic model by proposing a remedial measure against the unpredictable bandwidth changes in contention‐based multi‐access networks. Compared with former works/controllers, this remedy also effectively reduces the instantaneous queue size in a router and thus significantly improves queuing delay and packet loss performance. We have evaluated the effectiveness of the OFEX controller in OPNET. The experimental comparison with the existing relatively explicit controllers verifies the superiority of our new scheme.

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