Member-only story

Analysis of TCP Performance in Data Center Networks: SpringerBriefs in Computer Science

Houston Powell

·10.2k Followers· Follow

Published in Analysis Of TCP Performance In Data Center Networks (SpringerBriefs In Electrical And Computer Engineering)

5 min read · 2 weeks before

116 View Claps

26 Respond

Save

Listen

Abstract

This book focuses on the performance analysis of Transmission Control Protocol (TCP) in data center networks. It provides a comprehensive overview of the challenges and opportunities in improving TCP performance in data center environments. The book also presents a number of novel techniques for improving TCP performance, including:

Congestion control algorithms: These algorithms are responsible for managing the flow of traffic between hosts in a data center network. The book presents a number of new congestion control algorithms that are specifically designed for data center environments.
Buffer management techniques: These techniques are responsible for managing the buffers in a data center network. The book presents a number of new buffer management techniques that are specifically designed to improve TCP performance.
Traffic shaping techniques: These techniques are responsible for shaping the traffic in a data center network. The book presents a number of new traffic shaping techniques that are specifically designed to improve TCP performance.

Data center networks are becoming increasingly important as the amount of data processed by businesses and organizations continues to grow. TCP is the most widely used transport protocol in data center networks. However, TCP was not originally designed for the high-performance, low-latency environment of a data center. As a result, TCP can often perform poorly in data center networks.

Challenges in Improving TCP Performance in Data Center Networks

There are a number of challenges in improving TCP performance in data center networks. These challenges include:

Analysis of TCP Performance in Data Center Networks (SpringerBriefs in Electrical and Computer Engineering)

by Silvia Hagen

4.1 out of 5

Language	:	English
File size	:	4504 KB
Text-to-Speech	:	Enabled
Enhanced typesetting	:	Enabled
Print length	:	143 pages
Screen Reader	:	Supported

Congestion: Congestion is a major problem in data center networks. Congestion occurs when the amount of traffic in a network exceeds the capacity of the network. Congestion can cause TCP to perform poorly by causing delays and packet loss.
Buffer bloat: Buffer bloat is a condition in which the buffers in a network become overloaded. Buffer bloat can cause TCP to perform poorly by causing delays and packet loss.
Traffic shaping: Traffic shaping is a technique used to control the flow of traffic in a network. Traffic shaping can be used to improve TCP performance by ensuring that TCP traffic is given priority over other types of traffic.

Techniques for Improving TCP Performance in Data Center Networks

There are a number of techniques that can be used to improve TCP performance in data center networks. These techniques include:

Congestion control algorithms: There are a number of congestion control algorithms that are specifically designed to improve TCP performance in data center networks. These algorithms include:
- TCP Vegas: TCP Vegas is a congestion control algorithm that uses feedback from the network to adjust the sending rate of TCP. TCP Vegas is designed to improve TCP performance in high-speed networks.
- TCP Reno: TCP Reno is a congestion control algorithm that uses a combination of slow start, congestion avoidance, and fast recovery to adjust the sending rate of TCP. TCP Reno is designed to improve TCP performance in networks with high levels of congestion.
- TCP CUBIC: TCP CUBIC is a congestion control algorithm that uses a cubic function to adjust the sending rate of TCP. TCP CUBIC is designed to improve TCP performance in networks with high levels of congestion and high levels of delay.
Buffer management techniques: There are a number of buffer management techniques that are specifically designed to improve TCP performance in data center networks. These techniques include:
- RIO: RIO is a buffer management technique that uses a combination of active queue management and packet pacing to improve TCP performance. RIO is designed to improve TCP performance in networks with high levels of congestion and high levels of delay.
- CoDel: CoDel is a buffer management technique that uses a simple leaky bucket algorithm to improve TCP performance. CoDel is designed to improve TCP performance in networks with high levels of congestion and high levels of delay.
Traffic shaping techniques: There are a number of traffic shaping techniques that are specifically designed to improve TCP performance in data center networks. These techniques include:
- Weighted fair queuing: Weighted fair queuing is a traffic shaping technique that gives priority to TCP traffic over other types of traffic. Weighted fair queuing is designed to improve TCP performance in networks with high levels of congestion.
- Priority queuing: Priority queuing is a traffic shaping technique that assigns different priorities to different types of traffic. Priority queuing can be used to improve TCP performance in networks with high levels of congestion.

This book provides a comprehensive overview of the challenges and opportunities in improving TCP performance in data center networks. The book also presents a number of novel techniques for improving TCP performance. These techniques can be used to improve the performance of data center networks and the applications that run on them.

Analysis of TCP Performance in Data Center Networks (SpringerBriefs in Electrical and Computer Engineering)

by Silvia Hagen

4.1 out of 5