February 2024 Parallel server systems under an extended heavy traffic condition: A lower bound
Rami Atar, Eyal Castiel, Martin I. Reiman
Author Affiliations +
Ann. Appl. Probab. 34(1B): 1029-1071 (February 2024). DOI: 10.1214/23-AAP1984

Abstract

The standard setting for studying parallel server systems (PSS) at the diffusion scale is based on the heavy traffic condition (HTC), which assumes that the underlying static allocation linear program (LP) is critical and has a unique solution. This solution determines the graph of basic activities, which identifies the set of activities (i.e., class-server pairs) that are operational. In this paper we explore the extended HTC, where the LP is merely assumed to be critical. Because multiple solutions are allowed, multiple sets of operational activities, referred to as modes, are available. Formally, the scaling limit for the control problem associated with the model is given by a so-called workload control problem (WCP) in which a cost associated with a diffusion process is to be minimized by dynamically switching between these modes. Our main result is that the WCP’s value constitutes an asymptotic lower bound on the cost associated with the PSS model.

Funding Statement

RA is supported by ISF Grant 1035/20.

Citation

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Rami Atar. Eyal Castiel. Martin I. Reiman. "Parallel server systems under an extended heavy traffic condition: A lower bound." Ann. Appl. Probab. 34 (1B) 1029 - 1071, February 2024. https://doi.org/10.1214/23-AAP1984

Information

Received: 1 January 2022; Revised: 1 November 2022; Published: February 2024
First available in Project Euclid: 1 February 2024

MathSciNet: MR4700252
Digital Object Identifier: 10.1214/23-AAP1984

Subjects:
Primary: 49K45 , 60K25 , 68M20 , 90B22
Secondary: 49K15 , 60F17 , 93E20

Keywords: Brownian control problem , diffusion limits , Hamilton–Jacobi–Bellman equation , heavy traffic , Parallel server systems , strict complementary slackness

Rights: Copyright © 2024 Institute of Mathematical Statistics

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Vol.34 • No. 1B • February 2024
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