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Approximating fluid schedules in packet-switched networks (2004)

by M A Rosenblum
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Approximating Fluid Schedules in Crossbar Packet-Switches and Banyan Networks

by Michael Rosenblum, Constantine Caramanis, Michel X. Goemans, Vahid Tarokh , 2006
"... We consider a problem motivated by the desire to provide flexible, rate-based, quality of service guarantees for packets sent over input queued switches and switch networks. Our focus is solving a type of online traffic scheduling problem, whose input at each time step is a set of desired traffic ra ..."
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We consider a problem motivated by the desire to provide flexible, rate-based, quality of service guarantees for packets sent over input queued switches and switch networks. Our focus is solving a type of online traffic scheduling problem, whose input at each time step is a set of desired traffic rates through the switch network. These traffic rates in general cannot be exactly achieved since they assume arbitrarily small fractions of packets can be transmitted at each time step. The goal of the traffic scheduling problem is to closely approximate the given sequence of traffic rates by a sequence of transmissions in which only whole packets are sent. We prove worst-case bounds on the additional buffer use, which we call backlog, that results from using such an approximation. We first consider the, input queued, crossbar switch. Our main result is an online packet-scheduling algorithm using no speedup that guarantees backlog at most @ CIA P R packets at each input port and each output port. Upper bounds on worst-case backlog have been proved for the case of constant fluid schedules, such as the P P CP bound of Chang, Chen, and Huang (INFOCOM, 2000). Our main result for the crossbar switch is the first, to our knowledge, to bound backlog in terms of switch size for arbitrary, time-varying fluid schedules, without using speedup. Our main result for Banyan networks is an exact characterization of the speedup required to maintain bounded backlog, in terms of polytopes derived from the network topology.
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... steps in advance, and so our packet-scheduling algorithm in Section IV-B does most of its work online; the online run-time of our algorithm is to compute which packets are sent at each time step. In =-=[27]-=-, we give a modified version of this algorithm with online run-time . This is, up to a constant factor, the same as the time required to read all components of a (time-varying) fluid matrix. If a pack...

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