Role of SCTP in Achieving Fair Bandwidth Allocation, Bottleneck Queuing in High Bandwidth - Delay Product Networks

Liston Deva Glindis¹, Nelson Kennedy Babu C²

^1,2Dhanalakshmi Srinivasan College of Engineering, India

Abstract

The rapid advancement in the deployment of very high bandwidth links in the Internet, which need a viable replacement of TCP in such environments, has become increasingly important in achieving efficient and fair bandwidth allocation while minimizing packet loss and bottleneck queue in high bandwidth - delay product networks A simple, low-complexity protocol, called Variable-structure congestion Control Protocol (VCP) [1] that leverages only the existing two ECN bits for network congestion feedback, and yet achieves comparable performance to XCP and to gain insight into the behavior of VCP, a simplified fluid model is designed to prove its global stability for the case of a single bottleneck shared by synchronous flows with identical round-trip times. On the downside, VCP converges significantly slower to a fair allocation than XCP. This paper is with a protocol called Stream Control Transmission Protocol (SCTP) with one bit ECN Nonce for Network congestion feedback and achieves comparable performance to XCP. The Stream Control Transmission Protocol is a Transport Layer protocol, serving in a similar role as the popular protocols Transmission Control Protocol (TCP) and User Datagram Protocol (UDP). It provides some of the same service features of both, ensuring reliable, in-sequence transport of messages with congestion control and minimizes packet loss and bottleneck queuing. i.e., high utilization, negligible packet loss rate, low persistent queue length, and reasonable fairness. The proposed model has been validated against and found to agree well with simulation results.

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Cite this Article as Follows

Liston Deva Glindis, Nelson Kennedy Babu C. "Role of SCTP in Achieving Fair Bandwidth Allocation, Bottleneck Queuing in High Bandwidth - Delay Product Networks." International Conference on Intelligent Computing and Systems (2017): 03. Print.