Evaluation of Router Implementations for Explicit Congestion Control Schemes

Hauger, Simon; Scharf, Michael P.; Kögel, Jochen; Suriyajan, C.

doi:10.4304/jcm.5.3.197-204

Cited by 7 publications

(5 citation statements)

References 16 publications

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“…N = 16 processors with F = 4 suffice to execute the required number of clock cycles. [5] shows that the parallel architecture of NPs is not suitable for the sequential bandwidth assignment steps of some future explicit congestion control schemes. Hence, we implemented the respective critical functions at registertransfer level and the non-critical part in a software-level module.…”

Section: Prototype and Evaluationmentioning

confidence: 98%

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Designing high-speed packet processing tasks at arbitrary levels of abstraction

Hauger

2009

Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems

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Packet processing systems of forthcoming high-speed network nodes demand extremely high processing rates, but also modularity and easy adaptability due to new or evolving protocols and services. As the fixed architecture and instruction set of current network processors sometimes hinders an efficient implementation of processing tasks, we introduced the MIXMAP architecture [4] that is designed to offer programmability at multiple levels of abstraction. Now we describe the prototypical realization of this architecture showing its feasibility. Our results indicate that up to 170 million packets per second can be processed with this architecture using current FPGAs. By implementing packet processing tasks at register-transfer level and at software level, we validate the architecture's applicability and the benefits of implementing at an appropriate level of abstraction.

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Section: Prototype and Evaluationmentioning

confidence: 98%

“…Often, emulating such operations is time-consuming and inefficient, while implementing them at register-transfer level on an FPGA would be fast and resource-efficient (cf. [5]). …”

Section: Introductionmentioning

confidence: 93%

Designing high-speed packet processing tasks at arbitrary levels of abstraction

Hauger

2009

Proceedings of the 5th ACM/IEEE Symposium on Architectures for Networking and Communications Systems

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“…XCP gives the routers a fine-grained control over sending rates of flows [13]. XCP enables the routers in the network to return explicit feedback back to the hosts and allows the routers in the network to continuously coordinate the sending speed of participating hosts.…”

Section: Xcpmentioning

confidence: 99%

A Novel Congestion Control Mechanism with Accelerating Effect

Singhal¹,

Vatsa²

2011

IJCA

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The tremendous growth of wireless network demands the need to meet different multimedia applications available over the wireless networks. Network congestion occurs when a link or a node is carrying an excessive amount of data because of which the quality or service deteriorates and these demands and allocations lead to optimized rate based control regulation through queuing theory. Earlier works on rate control protocols does not emphasize on different RCP wireless practical situations which may have varying or constant link and packet acceptance capacity, bandwidth coordination, acceleration maintenance etc. In this paper, we purpose a novel, methodology for rate based congestion control in wireless network. Thus, we proposed an algorithm of a range based capacity wireless network with different conditions for maintaining the acceleration and traffic in terms of capacity of processor nodes and link capacity General TermsCongestion Control, Wireless Networks.

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“…The stability of the XCP protocol depends on the accuracy of estimating the number of flows currently in the network, but it is difficult to accurately estimate the number of flows. Once the estimated value is too small, it is easy for burst traffic to occur on the network, and if the estimated value is too large, a low link utilization rate can easily occur [10]. The above protocols are the latest in the field of congestion control, but none of them can meet the requirements of the 5G network, and they cannot achieve a balance in bandwidth utilization, fairness, and convergence speed.…”

Section: Introductionmentioning

confidence: 99%

SDN-Based Congestion Control and Bandwidth Allocation Scheme in 5G Networks

Yang,

Tsai

2024

Sensors

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5G cellular networks are already more than six times faster than 4G networks, and their packet loss rate, especially in the Internet of Vehicles (IoV), can reach 0.5% in many cases, such as when there is high-speed movement or obstacles nearby. In such high bandwidth and high packet loss network environments, traditional congestion control algorithms, such as CUBIC and bottleneck bandwidth and round-trip propagation time (BBR), have been unable to balance flow fairness and high performance, and their flow rate often takes a long time to converge. We propose a congestion control algorithm based on bottleneck routing feedback using an in-network control mode called bottleneck routing feedback (BRF). We use SDN technology (OpenFlow protocol) to collect network bandwidth information, and BRF controls the data transmission rate of the sender. By adding the bandwidth information of the bottleneck in the option field in the ACK packet, considering the flow fairness and the flow convergence rate, a bandwidth allocation scheme compatible with multiple congestion control algorithms is proposed to ensure the fairness of all flows and make them converge faster. The performance of BRF is evaluated via Mininet. The experimental results show that BRF provides higher bandwidth utilization, faster convergence rate, and fairer bandwidth allocation than existing congestion control algorithms in 5G cellular networks.

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Evaluation of Router Implementations for Explicit Congestion Control Schemes

Cited by 7 publications

References 16 publications

Designing high-speed packet processing tasks at arbitrary levels of abstraction

Designing high-speed packet processing tasks at arbitrary levels of abstraction

A Novel Congestion Control Mechanism with Accelerating Effect

SDN-Based Congestion Control and Bandwidth Allocation Scheme in 5G Networks

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