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Hierarchical Multiresource Fair Queueing for Packet Processing
Journal article   Peer reviewed

Hierarchical Multiresource Fair Queueing for Packet Processing

Chaoqun You, Yangming Zhao, Gang Feng, Tony Q. S. Quek and Lemin Li
IEEE eTransactions on network and service management, Vol.20(1), pp.726-740
03/2023

Abstract

Bandwidth Delays fair queueing Hierarchical scheduling Middleboxes multi-resource Quality of service Real-time systems Scheduling Scheduling algorithms
Various middleboxes are ubiquitously deployed in networks to perform packet processing functions, such as firewalling, proxy, scheduling, etc., for the flows passing through them. With the explosion of network traffic and the demand for multiple types of network resources, it has never been more challenging on a middlebox to provide Quality-of-Service (QoS) guarantees to grouped flows. Unfortunately, all currently existing fair queueing algorithms fail in supporting hierarchical scheduling, which is necessary to provide QoS guarantee to the grouped flows of multiple service classes. In this paper, we present two new multi-resource fair queueing algorithms to support hierarchical scheduling, collapsed Hierarchical Dominant Resource Fair Queueing (collapsed H-DRFQ) and dove-tailing H-DRFQ. Particularly, collapsed H-DRFQ transforms the hierarchy of grouped flows into a flat structure for flat scheduling while dove-tailing H-DRFQ iteratively performs flat scheduling to sibling nodes on the original hierarchy. Through rigorous theoretical analysis, we find that both algorithms can provide hierarchical share guarantees to individual flows, while the upper bound of packet delay in dove-tailing H-DRFQ is smaller than that of collapsed H-DRFQ. We implement the proposed algorithms on Click modular router and the experimental results verify our analytical results.

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