Critically loaded queueing models that are throughput suboptimal
Rami Atar, Gennady Shaikhet

TL;DR
This paper studies many-server queueing systems with multiple customer classes and heterogeneous servers, showing that throughput suboptimality can be exploited with dynamic control policies to minimize buffer occupancy in heavy traffic.
Contribution
It introduces the concept of throughput suboptimality in many-server queues and characterizes it via buffer-station graph properties, proposing effective dynamic control policies.
Findings
Existence of a dynamic control policy that minimizes buffer occupancy in heavy traffic.
Throughput suboptimality can be characterized by buffer-station graph properties.
Buffer occupancy converges to zero over time under the proposed policy.
Abstract
This paper introduces and analyzes the notion of throughput suboptimality for many-server queueing systems in heavy traffic. The queueing model under consideration has multiple customer classes, indexed by a finite set , and heterogenous, exponential servers. Servers are dynamically chosen to serve customers, and buffers are available for customers waiting to be served. The arrival rates and the number of servers are scaled up in such a way that the processes representing the number of class- customers in the system, , fluctuate about a static fluid model, that is assumed to be critically loaded in a standard sense. At the same time, the fluid model is assumed to be throughput suboptimal. Roughly, this means that the servers can be allocated so as to achieve a total processing rate that is greater than the total arrival rate. We show that there exists a…
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