Advances in Applied Probability

Sufficient conditions for stability of longest-queue-first scheduling: second-order properties using fluid limits

Antonis Dimakis and Jean Walrand

Source: Adv. in Appl. Probab. Volume 38, Number 2 (2006), 505-521.

Abstract

We consider the stability of the longest-queue-first scheduling policy (LQF), a natural and low-complexity scheduling policy, for a generalized switch model. Unlike that of common scheduling policies, the stability of LQF depends on the variance of the arrival processes in addition to their average intensities. We identify new sufficient conditions for LQF to be throughput optimal for independent, identically distributed arrival processes. Deterministic fluid analogs, proved to be powerful in the analysis of stability in queueing networks, do not adequately characterize the stability of LQF. We combine properties of diffusion-scaled sample path functionals and local fluid limits into a sharper characterization of stability.

Primary Subjects: 60K25
Secondary Subjects: 90B15, 60G17
Keywords: Generalized switch; longest-queue-first scheduling; MaxWeight scheduling; throughput optimality; stability; local pooling; fluid limit; local fluid limit; second-order condition

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Links and Identifiers

Permanent link to this document: http://projecteuclid.org/euclid.aap/1151337082
Digital Object Identifier: doi:10.1239/aap/1151337082
Mathematical Reviews number (MathSciNet): MR2264955
Zentralblatt MATH identifier: 1126.60074

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