Two-Level Congestion Control Mechanism (2LCCM) for Information-Centric Networking

Yaqin Song,Hong Ni,Xiaoyong Zhu

doi:10.3390/fi13060149

Abstract

As an emerging network architecture, Information-Centric Networking (ICN) is considered to have the potential to meet the new requirements of the Fifth Generation (5G) networks. ICN uses a name decoupled from location to identify content, supports the in-network caching technology, and adopts a receiver-driven model for data transmission. Existing ICN congestion control mechanisms usually first select a nearby replica by opportunistic cache-hits and then insist on adjusting the transmission rate regardless of the congestion state, which cannot fully utilize the characteristics of ICN to improve the performance of data transmission. To solve this problem, this paper proposes a two-level congestion control mechanism, called 2LCCM. It switches the replica location based on a node state table to avoid congestion paths when heavy congestion happens. This 2LCCM mechanism also uses a receiver-driven congestion control algorithm to adjust the request sending rate, in order to avoid link congestion under light congestion. In this paper, the design and implementation of the proposed mechanism are described in detail, and the experimental results show that 2LCCM can effectively reduce the transmission delay when heavy congestion occurs, and the bandwidth-delay product-based congestion control algorithm has better transmission performance compared with a loss-based algorithm.

Highlights

The remainder of this paper is organized as follows: We review the related work about congestion control mechanisms of Information-Centric Networking (ICN) in Section 2; Section 3 describes the design of the two-level congestion control mechanism, defines heavy congestion and light congestion, and presents the switching strategy of the two-level mechanism; In Section 4, the replica selection method, congestion control algorithm, and transport layer protocol are described in detail, we evaluate and discuss the performance in Section 5; Section 6 concludes our work
The parameters of Equation (6) is recommended to be w = {0.757, 0.162, 0.081}, this section focuses on evaluating the performance of switching strategy and the performance of the congestion control algorithm
When the transmission link is under heavy congestion, the replica location of a chunk will be changed by the replica selection method to avoid the current congestion path

Summary

Introduction

The applications of 5G (Fifth Generation) networks [1] have critical requirements for end-to-end latency, especially in ultra-Reliable Low Latency Communication (uRLLC). To achieve the high-performance of 5G, researchers are working hard on a variety of supporting technologies, especially the optimization of network architectures. A new network paradigm called Information-Centric Networking (ICN) has been proposed [3]. ICN architecture and related technologies are being standardized [4] and have the potential to enhance data delivery services in 5G networks. ICN changes the Internet communication paradigm from a host-centric model to an information-centric model. It uses network-level entity identifiers (IDs) to address and retrieve the corresponding content data. By using in-network caching techniques, ICN can provide significant benefits such as faster content delivery, reduced unnecessary network traffic, and fewer duplicate transmissions of the same content

Methods

Results

Conclusion