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Feedback control in a distributed scheduling architecture

Authors: Fabio M. Chiussi; Andrea Francini; Denis A. Khotimsky; Santosh Krishnan;

Feedback control in a distributed scheduling architecture

Abstract

Multiple-module, multistage packet switching systems are gaining popularity as a scalable solution to the ever increasing demand for the aggregate switching capacity. Due to additional contention points between the stages, such systems differ in their behavior from single module output buffered switches, which serve as a model for most of the advanced quality of service (QoS) scheduling algorithms. Recently, a distributed scheduling reference architecture has been proposed to extend the QoS provisioning framework to the practical multistage switches. While keeping all the per-flow state information in the port card, it aggregates the individual traffic flows into a few QoS based fabric channels and relies on the intelligent selective feedback to ensure that the QoS guarantees of the individual flows are met. In this paper we discuss a novel credit-based feedback mechanism that allows to aggregate multiple traffic components with diverse QoS requirements into the same downstream FIFO queue. We specifically apply it to merge the guaranteed-bandwidth (GB) and best-effort (BE) QoS channels of the distributed scheduling architecture into a single non-guaranteed-delay queue in the switch fabric. The mechanism allows to satisfy the bandwidth requirements of the GB traffic while maximizing the throughput of the BE traffic and distributes the available excess bandwidth between different types of traffic fairly. The presentation is supported by fluid stationary analysis and packet-level simulations.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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