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Group Round Robin: Improving the Fairness and Complexity of Packet Scheduling

Caprita, Bogdan; Chan, Wong Chun; Nieh, Jason

We introduce Group Round-Robin (GRR) scheduling, a hybrid scheduling framework based on a novel grouping strategy that narrows down the traditional tradeoff between fairness and computational complexity. GRR combines its grouping strategy with a specialized round-robin scheduling algorithm that utilizes the properties of GRR groups to schedule flows within groups in a manner that provides O(1) bounds on fairness with only O(1) time complexity. Under the practical assumption that GRR employs a small constant number of groups, we apply GRR to popular fair queueing scheduling algorithms and show how GRR can be used to achieve constant bounds on fairness and time complexity for these algorithms.

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Academic Units
Computer Science
Publisher
Department of Computer Science, Columbia University
Series
Columbia University Computer Science Technical Reports, CUCS-018-03
Published Here
April 26, 2011