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Open AccessArticle

SDTCP: Towards Datacenter TCP Congestion Control with SDN for IoT Applications

by Yifei Lu 1,3,*, Zhen Ling 2,3, Shuhong Zhu 1 and Ling Tang 1
School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China
School of Computer Science and Engineering, Southeast University, Nanjing 211189, China
Key Laboratory of Computer Network and Information Integration, Southeast University, Ministry of Education, Nanjing 211189, China
Author to whom correspondence should be addressed.
Academic Editors: Dongkyun Kim, Houbing Song, Juan-Carlos Cano, Wei Wang, Waleed Ejaz and Qinghe Du
Sensors 2017, 17(1), 109;
Received: 15 December 2016 / Revised: 2 January 2017 / Accepted: 4 January 2017 / Published: 8 January 2017
The Internet of Things (IoT) has gained popularity in recent years. Today’s IoT applications are now increasingly deployed in cloud platforms to perform Big Data analytics. In cloud data center networks (DCN), TCP incast usually happens when multiple senders simultaneously communicate with a single receiver. However, when TCP incast happens, DCN may suffer from both throughput collapse for TCP burst flows and temporary starvation for TCP background flows. In this paper, we propose a software defined network (SDN)-based TCP congestion control mechanism, referred to as SDTCP, to leverage the features, e.g., centralized control methods and the global view of the network, in order to solve the TCP incast problems. When we detect network congestion on an OpenFlow switch, our controller can select the background flows and reduce their bandwidth by adjusting the advertised window of TCP ACK packets of the corresponding background flows so as to reserve more bandwidth for burst flows. SDTCP is transparent to the end systems and can accurately decelerate the rate of background flows by leveraging the global view of the network gained via SDN. The experiments demonstrate that our SDTCP can provide high tolerance for burst flows and achieve better flow completion time for short flows. Therefore, SDTCP is an effective and scalable solution for the TCP incast problem. View Full-Text
Keywords: data center networks; IoT; incast; congestion control; SDN data center networks; IoT; incast; congestion control; SDN
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Lu, Y.; Ling, Z.; Zhu, S.; Tang, L. SDTCP: Towards Datacenter TCP Congestion Control with SDN for IoT Applications. Sensors 2017, 17, 109.

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