Multi-Flow Congestion Control with Network Assistance

TL;DR

This paper presents a hybrid congestion control algorithm for multipath transport that improves bandwidth utilization and network friendliness by leveraging in-network topology information and a novel end-to-end protocol.

Contribution

It introduces NMCC, a new congestion control algorithm, and an in-network module for better path information, enhancing multipath transport performance over existing solutions like MPTCP.

Findings

NMCC outperforms MPTCP in bandwidth utilization.

The in-network module provides accurate topological info.

Prototype demonstrates improved performance and stability.

Abstract

A well-known technique for enhancing the performance and stability of content distribution is the use of multiple dissemination flows. Multipath TCP (MPTCP), the most popular multiflow protocol on the Internet, allows receivers to exploit multiple paths towards a single sender. Nevertheless, MPTCP cannot fully exploit the potential gains of multipath connectivity, as it must fairly share resources with (single-flow) TCP, without a clear understanding of whether the available paths do share any bottleneck links. In this paper, we introduce a hybrid congestion control algorithm for multisource and multipath transport that enables higher bandwidth utilization compared to MPTCP, while remaining friendly to TCP-like flows. Our solution employs (i) an in-network module that offers essential topological information and (ii) Normalized Multiflow Congestion Control (NMCC), a novel end-to-end congestion control algorithm. While NMCC is architecture-independent and the in-network module can be adapted for Multi-Protocol Label Switching (MPLS) or Software Defined Networks (SDNs), our prototype was implemented on the Publish-Subscribe Internetworking (PSI) architecture, which offers centralized path formation and source routing. Using an actual protocol implementation deployed on our test-bed, we provide experimental results which validate the effectiveness of our design in terms of performance, adaptation to shifting network conditions and friendliness to other flows.