Coeus: Consistent and Continuous Network Update in Software-Defined Networks:38th IEEE Conference on Computer Communications, INFOCOM 2020

He, X. and Zheng, J. and Dai, H. and Zhang, C. and Rafique, W. and Li, G. and Dou, W. and Ni, Q. (2020) Coeus: Consistent and Continuous Network Update in Software-Defined Networks:38th IEEE Conference on Computer Communications, INFOCOM 2020. In: 38th IEEE Conference on Computer Communications, INFOCOM 2020, 2020-07-062021-06-09, Toronto, Canada.

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Network update enables Software-Defined Networks (SDNs) to optimize the data plane performance via southbound APIs. The single update between the initial and the final network states fail to handle high-frequency changes or the burst event during the update procedure in time, leading to prolonged update time and inefficiency. On the contrary, the continuous update can respond to the network condition changes at all times. However, existing work, especially Update Algebra can only guarantee blackhole- and loop-free. The congestion-free property cannot be respected during the update procedure. In this paper, we propose Coeus, a continuous network update system while maintaining blackhole-, loop- and congestion-free simultaneously. Firstly, we establish an operation-based continuous update model. Based on this model, we dynamically reconstruct an operation dependency graph to capture unexecuted update operations and the link utilization variations. Subsequently, we develop an operation composition algorithm to eliminate redundant update commands and an operation node partition algorithm to speed up the update procedure. We prove that the partition algorithm is optimal and can guarantee the consistency. Finally, extensive evaluations show that Coeus can improve the makespan by at least 179% compared with state-of-the-art approaches when the arrival rate of update events equals to three times per second. © 2020 IEEE.

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38th IEEE Conference on Computer Communications, INFOCOM 2020
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Conference code: 162290 Export Date: 22 September 2020 CODEN: PINFE Funding details: Natural Science Foundation of Jiangsu Province Funding details: 2017YFB1001801 Funding details: National Natural Science Foundation of China, NSFC, 61672353, 61802172, 61672276, 61872178, 61832005 Funding text 1: VIII. CONCLUSION We studied the consistency and continuous update problem in SDNs. We proposed Coeus to obtain a consistent update sequence during the continuous update procedure. The results of evaluation show that Coeus can reduce the makespan and redundant update operations significantly. ACKNOWLEDGMENT This work was supported in part by the National Key R&D Program of China under Grant No. 2017YFB1001801, the National Natural Science Foundation of China under Grant No. 61802172, 61672276, 61872178, 61832005, 61672353, the Natural Science Foundation of Jiangsu Province under Grant No. BK20181251, and Royal Society project IEC170324. The corresponding authors are Jiaqi Zheng and Wanchun Dou. 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09 Jun 2021 18:30
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11 Jun 2021 23:50