Control traffic balancing in software defined networks
To promise on-line and adaptive traffic engineering in software defined networks (SDNs), the control messages, e.g., the first packet of every new flow and network traffic statistics, should be forwarded from software defined switches to the controller(s) in a fast and robust manner. As many signali...
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| Published in: | Computer networks (Amsterdam, Netherlands : 1999) Vol. 106; pp. 260 - 271 |
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| Main Authors: | , , |
| Format: | Journal Article |
| Language: | English |
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Amsterdam
Elsevier B.V
04.09.2016
Elsevier Sequoia S.A |
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| ISSN: | 1389-1286, 1872-7069 |
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| Abstract | To promise on-line and adaptive traffic engineering in software defined networks (SDNs), the control messages, e.g., the first packet of every new flow and network traffic statistics, should be forwarded from software defined switches to the controller(s) in a fast and robust manner. As many signaling events and control plane operations are required in SDNs, they could easily generate a significant amount of control traffic that must be addressed together with the data traffic. However, the usage of in-band control channel imposes a great challenge into timely and reliable transmissions of control traffic, while out-band control is usually cost-prohibitive. To counter this, in this paper, the control traffic balancing problem is first formulated as a nonlinear optimization framework with an objective to find the optimal control traffic forwarding paths for each switch in such a way the average control traffic delay in the whole network is minimized. This problem is extremely critical in SDNs because the timely delivery of control traffic initiated by Openflow switches directly impacts the effectiveness of the routing strategies. Specifically, the fundamental mathematical structures of the formulated nonlinear problem and solution set are provided and accordingly, an efficient algorithm, called polynomial-time approximation algorithm (PTAA), is proposed to yield the fast convergence to a near optimal solution by employing the alternating direction method of multipliers (ADMM). Furthermore, the optimal controller placement problem in in-band mode is examined, which aims to find the optimal switch location where the controller can be collocated by minimizing the control message delay. While it is not widely researched except quantitative or heuristic results, a simple and efficient algorithm is proposed to guarantee the optimum placement with regards of traffic statistics. Simulation results confirm that the proposed PTAA achieves considerable delay reduction, greatly facilitating controller’s traffic engineering in large-scale SDNs. |
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| AbstractList | To promise on-line and adaptive traffic engineering in software defined networks (SDNs), the control messages, e.g., the first packet of every new flow and network traffic statistics, should be forwarded from software defined switches to the controller(s) in a fast and robust manner. As many signaling events and control plane operations are required in SDNs, they could easily generate a significant amount of control traffic that must be addressed together with the data traffic. However, the usage of in-band control channel imposes a great challenge into timely and reliable transmissions of control traffic, while out-band control is usually cost-prohibitive. To counter this, in this paper, the control traffic balancing problem is first formulated as a nonlinear optimization framework with an objective to find the optimal control traffic forwarding paths for each switch in such a way the average control traffic delay in the whole network is minimized. This problem is extremely critical in SDNs because the timely delivery of control traffic initiated by Openflow switches directly impacts the effectiveness of the routing strategies. Specifically, the fundamental mathematical structures of the formulated nonlinear problem and solution set are provided and accordingly, an efficient algorithm, called polynomial-time approximation algorithm (PTAA), is proposed to yield the fast convergence to a near optimal solution by employing the alternating direction method of multipliers (ADMM). Furthermore, the optimal controller placement problem in in-band mode is examined, which aims to find the optimal switch location where the controller can be collocated by minimizing the control message delay. While it is not widely researched except quantitative or heuristic results, a simple and efficient algorithm is proposed to guarantee the optimum placement with regards of traffic statistics. Simulation results confirm that the proposed PTAA achieves considerable delay reduction, greatly facilitating controller’s traffic engineering in large-scale SDNs. |
| Author | Lin, Shih-Chun Luo, Min Wang, Pu |
| Author_xml | – sequence: 1 givenname: Shih-Chun surname: Lin fullname: Lin, Shih-Chun email: slin88@ece.gatech.edu organization: Broadband Wireless Networking Laboratory, School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA – sequence: 2 givenname: Pu surname: Wang fullname: Wang, Pu email: pu.wang@wichita.edu organization: Department of Electrical Engineering and Computer Science, Wichita State University, Wichita, KS 67260, USA – sequence: 3 givenname: Min surname: Luo fullname: Luo, Min email: min.ch.luo@huawei.com organization: Shannon Lab, Huawei Technologies Co., Ltd. Santa Clara, USA |
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| Keywords | Optimal controller location Software defined networks Control traffic balancing Traffic statistic In-band control Polynomial-time approximation algorithm |
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| SubjectTerms | Adaptive control Algorithms Averages Communications traffic Computer networks Computer programs Computer simulation Control traffic balancing Controllers Convergence Delay Effectiveness studies Engineering Heuristic In-band control Mathematical analysis Network flow problem Networks Optimal control Optimal controller location Optimization Placement Polynomial-time approximation algorithm Robustness (mathematics) Route optimization Simulation Software Software defined networks Software engineering Statistics Switches Switching theory Traffic control Traffic delay Traffic engineering Traffic flow Traffic statistic |
| Title | Control traffic balancing in software defined networks |
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