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SDTCP: Towards Datacenter TCP Congestion Control with SDN for IoT Applications
Yifei Lu1,2, Zhen Ling3,4, Shuhong Zhu5
1School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing 210094, China. luyifei@njust.edu.cn.
Sensors (Basel, Switzerland)
|January 12, 2017
Summary
Software-Defined Networking (SDN) enhances cloud data center networks (DCN) by introducing SDTCP. This mechanism mitigates TCP incast issues, improving throughput for burst flows and reducing starvation for background flows.
Area of Science:
- Computer Science
- Network Engineering
- Cloud Computing
Background:
- Internet of Things (IoT) applications increasingly utilize cloud platforms for Big Data analytics.
- TCP incast in cloud data center networks (DCN) causes throughput collapse for burst flows and starvation for background flows.
Purpose of the Study:
- To propose a Software-Defined Network (SDN)-based TCP congestion control mechanism (SDTCP) to address TCP incast problems in DCNs.
- To leverage SDN's centralized control and global network view to solve incast issues.
Main Methods:
- Developed SDTCP, an SDN-based TCP congestion control mechanism.
- Utilized OpenFlow switches and an SDN controller to detect congestion.
- Adjusted advertised windows of TCP ACK packets for background flows to reserve bandwidth for burst flows.
- Ensured transparency to end systems.
Main Results:
- SDTCP effectively reserves bandwidth for burst flows by decelerating background flows.
- Achieved high tolerance for burst flows.
- Improved flow completion time for short flows.
- Demonstrated scalability and effectiveness.
Conclusions:
- SDTCP is an effective and scalable solution for TCP incast problems in cloud data center networks.
- The proposed mechanism enhances network performance by prioritizing critical flows and managing congestion efficiently.
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