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Heavy-traffic universality of redundancy systems with assignment constraints

Cardinaels,Ellen
Borst,Sem
van Leeuwaarden,Johan S.H.
Abstract
Service systems often face task-server assignment constraints because of skill-based routing or geographical conditions. Redundancy scheduling responds to this limited flexibility by replicating tasks to specific servers in agreement with these assignment constraints. We gain insight from product-form stationary distributions and weak local stability conditions to establish a state space collapse in heavy traffic. In this limiting regime, the parallel-server system with redundancy scheduling operates as a multiclass single-server system, achieving full resource pooling and exhibiting strong insensitivity to the underlying assignment constraints. In particular, the performance of a fully flexible (unconstrained) system can be matched even with rather strict assignment constraints.
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Publisher Copyright: © 2022 INFORMS.
Date
2024-07
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Research Projects
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Keywords
assignment constraints, heavy-traffic limit, heterogeneity, load balancing, parallel-server systems, redundancy scheduling, resource pooling, state space collapse
Citation
Cardinaels, E, Borst, S & van Leeuwaarden, J S H 2024, 'Heavy-traffic universality of redundancy systems with assignment constraints', Operations Research, vol. 72, no. 4, pp. 1539-1555. https://doi.org/10.1287/opre.2022.2385
License
info:eu-repo/semantics/openAccess
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