Many Server Scaling of the N-System Under FCFS-ALIS
Dongyuan Zhan, Gideon Weiss

TL;DR
This paper investigates the behavior of a multi-server N-System under FCFS-ALIS policy when both arrivals and servers are scaled up, providing fluid and diffusion approximations for its steady state, advancing understanding of large-scale service systems.
Contribution
It introduces the first analysis of the many-server limit behavior of the N-System with explicit steady state distribution under simultaneous scaling.
Findings
Derived fluid and central limit approximations for the scaled system
Established the first step towards understanding large-scale parallel service systems
Provided explicit steady state distribution for the N-System
Abstract
The N-System with independent Poisson arrivals and exponential server-dependent service times under first come first served and assign to longest idle server policy has explicit steady state distribution. We scale the arrival and the number of servers simultaneously, and obtain the fluid and central limit approximation for the steady state. This is the first step towards exploring the many server scaling limit behavior of general parallel service systems.
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Taxonomy
TopicsAdvanced Queuing Theory Analysis · Distributed systems and fault tolerance · Simulation Techniques and Applications
