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Drop counters are enough.

Stanojević, Rade and Shorten, Robert (2007) Drop counters are enough. In: 2007 Fifteenth IEEE International Workshop on Quality of Service. IEEE, pp. 117-125. ISBN 1-4244-1185-8

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Abstract

Small Flow Completion Time (FCT) of short-lived flows, and fair bandwidth allocation of long-lived flows have been two major, usually concurrent, goals in the design of resource allocation algorithms. In this paper we present a framework that naturally unifies these two objectives under a single umbrella; namely by proposing resource allocation algorithm Markov Active Yield (MAY). Based on a probabilistic strategy: "drop proportional to the amount of past drops", MAY achieves very small FCT among short-lived flows as well as max-min fair bandwidth allocation among long-lived flows, using only the information of short history of already dropped packets. It turns out that extremely small amount of on-chip SRAM (roughly 1 bit per flow in Pareto-like flow size distributions) is enough for storing this drop history. Analytical models are presented and analyzed and accuracy of results is verified experimentally using packet level ns2 simulations.

Item Type: Book Section
Additional Information: "©2007 IEEE. Reprinted from 2007 Fifteenth IEEE International Workshop on Quality of Service. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE." http://ieeexplore.ieee.org/stamp/stamp.jsp?tp=&arnumber=4262461&isnumber=4262440
Keywords: Markov processes; SRAM chips; Bandwidth allocation; Resource allocation; Telecommunication networks; Telecommunication traffic; Markov active yield; SRAM on-chip; Communication network; Flow completion time; Max-min fair bandwidth allocation; Packet level ns2 simulation; Resource allocation algorithm; Hamilton Institute.
Subjects: Science & Engineering > Hamilton Institute
Science & Engineering > Computer Science
Item ID: 1758
Identification Number: 10.1109/IWQOS.2007.376557
Depositing User: Hamilton Editor
Date Deposited: 22 Dec 2009 10:35
Publisher: IEEE
Refereed: Yes
URI:

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