About Busy Period of a Multi-server Queueing Model with Simultaneous Service

This paper investigates the busy period of a multi-server queueing system in which tasks require the simultaneous allocation of a random number of servers.The model considers m, (m 1) homogeneous servers, Poisson arrivals, and exponentially distributed service times.Each task randomly requests between one and m servers for its execution, and service begins only when the required number of servers is available.By formulating the system dynamics using a recursive relation that captures the evolution of the busy period based on task completion and service initiation events.A general expression for the expected busy period is derived.The results contribute to a deeper understanding of multi-server systems with simultaneous service and offer valuable insights for performance evaluation in modern computing infrastructures.

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Published
2025-09-21
DOI
https://doi.org/10.51408/csit2025_68
Primary Topic
Advanced Data Processing Techniques
Type
article
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article

About Busy Period of a Multi-server Queueing Model with Simultaneous Service

Artur Vardanyan, Vladimir Sahakyan, Husik Gevorgyan
Advanced Data Processing Techniques
article

About Busy Period of a Multi-server Queueing Model with Simultaneous Service

Artur Vardanyan, Vladimir Sahakyan, Husik Gevorgyan
article en

Abstract

This paper investigates the busy period of a multi-server queueing system in which tasks require the simultaneous allocation of a random number of servers.The model considers m, (m 1) homogeneous servers, Poisson arrivals, and exponentially distributed service times.Each task randomly requests between one and m servers for its execution, and service begins only when the required number of servers is available.By formulating the system dynamics using a recursive relation that captures the evolution of the busy period based on task completion and service initiation events.A general expression for the expected busy period is derived.The results contribute to a deeper understanding of multi-server systems with simultaneous service and offer valuable insights for performance evaluation in modern computing infrastructures.

Institute for Informatics and Automation Problems (AM)
Openalex Percentile: Top 67%
Advanced Data Processing Techniques
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