Network supported congestion avoidance in software-defined networks

Gruen, Jochen; Karl, Michael; Herfet, Thorsten

doi:10.1109/icon.2013.6781970

Cited by 9 publications

(2 citation statements)

References 3 publications

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“…SDNs also make load balancing and congestion control quite simple since the controller can get statistics from the devices and optimize network traffic distribution [103] [104]. Another important application is network security [105] [106].…”

Section: Software-defined Networking (Sdn)mentioning

confidence: 99%

Reconfigurable Wireless Networks

et al. 2015

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Abstract-Driven by the advent of sophisticated and ubiquitous applications, and the ever-growing need for information, wireless networks are without a doubt steadily evolving into profoundly more complex and dynamic systems. The user demands are progressively rampant, while application requirements continue to expand in both range and diversity. Future wireless networks, therefore, must be equipped with the ability to handle numerous, albeit challenging requirements. Network reconfiguration, considered as a prominent network paradigm, is envisioned to play a key role in leveraging future network performance and considerably advancing current user experiences. This paper presents a comprehensive overview of reconfigurable wireless networks and an in-depth analysis of reconfiguration at all layers of the protocol stack. Such networks characteristically possess the ability to reconfigure and adapt their hardware and software components and architectures, thus enabling flexible delivery of broad services, as well as sustaining robust operation under highly dynamic conditions. The paper offers a unifying framework for research in reconfigurable wireless networks. This should provide the reader with a holistic view of concepts, methods, and strategies in reconfigurable wireless networks. Focus is given to reconfigurable systems in relatively new and emerging research areas such as cognitive radio networks, cross-layer reconfiguration and software-defined networks. In addition, modern networks have to be intelligent and capable of self-organization. Thus, this paper discusses the concept of network intelligence as a means to enable reconfiguration in highly complex and dynamic networks. Key processes in network intelligence, such as reasoning, learning, and contextawareness are presented to illustrate how these methods can take reconfiguration to a new level. Finally, the paper is supported with several examples and case studies showing the tremendous impact of reconfiguration on wireless networks.

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Section: Software-defined Networking (Sdn)mentioning

confidence: 99%

Reconfigurable Wireless Networks

et al. 2015

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“…However, previous studies reported that when the underlying network and information flow are unknown, TCP must increase or reduce the size of congestion window to adjust to the changes of traffic [7][8][9]. This finding highlighted that the traditional IP network lacks the direct control 2 Scientific Programming of forwarding queue and cannot guarantee link utilization and quality of service.…”

Section: Introductionmentioning

confidence: 99%

Software-Defined Congestion Control Algorithm for IP Networks

Peng

Zhang

2017

Scientific Programming

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The rapid evolution of computer networks, increase in the number of Internet users, and popularity of multimedia applications have exacerbated the congestion control problem. Congestion control is a key factor in ensuring network stability and robustness. When the underlying network and flow information are unknown, the transmission control protocol (TCP) must increase or reduce the size of the congestion window to adjust to the changes of traffic in the Internet Protocol (IP) network. However, it is possible that a software-defined approach can relieve the network congestion problem more efficiently. This approach has the characteristic of centralized control and can obtain a global topology for unified network management. In this paper, we propose a software-defined congestion control (SDCC) algorithm for an IP network. We consider the difference between TCP and the user datagram protocol (UDP) and propose a new method to judge node congestion. We initially apply the congestion control mechanism in the congested nodes and then optimize the link utilization to control network congestion.

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A Novel Congestion Avoidance Algorithm Using Two Routing Algorithms and Fast-Failover Group Table in SDN Networks

Nejad

Majma

2021

Selected Papers From the 12th International Networking Conference

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Network supported congestion avoidance in software-defined networks

Cited by 9 publications

References 3 publications

Reconfigurable Wireless Networks

Reconfigurable Wireless Networks

Software-Defined Congestion Control Algorithm for IP Networks

A Novel Congestion Avoidance Algorithm Using Two Routing Algorithms and Fast-Failover Group Table in SDN Networks

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