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arxiv: 2604.10891 · v1 · submitted 2026-04-13 · 🧮 math.PR

The Gated-Service M/GI/1 Queue with Single Vacations and Its Application to Batch-Service Queues

Pith reviewed 2026-05-10 16:26 UTC · model grok-4.3

classification 🧮 math.PR
keywords gated servicesingle vacationsM/GI/1 queuequeue length PGFbatch servicebusy cycle transformsystem delay LST
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The pith

Gated-service M/GI/1 queues with single vacations have explicit transforms for queue length, delay, and busy cycles.

A machine-rendered reading of the paper's core claim, the machinery that carries it, and where it could break.

The paper derives the probability generating function of the stationary queue length in an M/GI/1 system under gated service with single vacations. It further obtains the Laplace-Stieltjes transform of the steady-state system delay distribution and the joint transform of busy cycle length and number of customers served. These results are applied to analyze batch-service M/G/1 queues where service times depend on batch size. A reader cares because such models describe systems with server breaks or grouped processing, and the transforms support exact performance calculations for waiting times and cycle lengths.

Core claim

We consider the M/GI/1 queue with single vacations under the gated service discipline. We obtain the probability generating function of the stationary queue length, the Laplace-Stieltjes transform of the system delay distribution in steady state, and the joint transform of the busy cycle length and the number of customers served in the busy cycle. Furthermore, as an application, we consider a batch-service M/G/1 queue, where service times depend on the number of customers in batch.

What carries the argument

Gated service discipline with single vacations in the M/GI/1 model, used to derive the stated transforms for queue length and delay.

Load-bearing premise

Arrivals are Poisson, service times are independent and general, and the system operates under the gated rule that serves only those present when service begins.

What would settle it

Invert the derived probability generating function numerically for exponential services and compare the resulting queue length probabilities to those obtained from direct simulation of the same system.

read the original abstract

In this paper, we consider the M/GI/1 queue with single vacations under the gated service discipline. We obtain the probability generating function of the stationary queue length, the Laplace-Stieltjes transform of the system delay distribution in steady state, and the joint transform of the busy cycle length and the number of customers served in the busy cycle. Furthermore, as an application, we consider a batch-service M/G/1 queue, where service times depend on the number of customers in batch.

Editorial analysis

A structured set of objections, weighed in public.

Desk editor's note, referee report, simulated authors' rebuttal, and a circularity audit. Tearing a paper down is the easy half of reading it; the pith above is the substance, this is the friction.

Referee Report

0 major / 3 minor

Summary. The manuscript analyzes the M/GI/1 queue with gated service and single vacations. It derives the probability generating function of the stationary queue length, the Laplace-Stieltjes transform of the steady-state system delay, and the joint transform of the busy-cycle length and the number of customers served in the cycle. These results are then applied to a batch-service M/G/1 queue in which the service-time distribution is parameterized by batch size.

Significance. If the derivations hold, the paper supplies explicit transform expressions for performance measures in a standard vacation-queue variant that appears in polling and manufacturing models. The batch-service extension preserves the embedded-Markov-chain structure at service-initiation epochs and therefore inherits the same transforms, offering a compact way to handle size-dependent service times. The approach relies on classical supplementary-variable and embedded-chain techniques rather than new methodology, but the explicit forms remain useful for numerical inversion or moment calculations.

minor comments (3)
  1. The abstract and introduction should explicitly reference the foundational works on gated vacation queues (e.g., the single-vacation M/G/1 analyses of Doshi or Takagi) to clarify the incremental contribution.
  2. Notation for the gated service indicator and the vacation residual time should be introduced once in §2 and used consistently; several later equations repeat the conditioning on the number present at service start without cross-reference.
  3. The batch-service application in §5 would benefit from a short numerical example comparing the derived PGF against simulation for a specific batch-size-dependent service distribution (e.g., deterministic service linear in batch size).

Simulated Author's Rebuttal

0 responses · 0 unresolved

We thank the referee for the positive assessment of our work on the gated-service M/GI/1 queue with single vacations and its application to batch-service queues. The recommendation for minor revision is noted. No specific major comments appear in the report.

Circularity Check

0 steps flagged

No significant circularity

full rationale

The paper derives the PGF of stationary queue length, LST of system delay, and joint transform of busy cycle length and customers served using standard embedded Markov chain analysis at service initiation epochs combined with supplementary variable techniques for the idle period under gated service and single vacations. These steps start from the Poisson arrival process, i.i.d. general service times, and the gated rule (serving only customers present at service start), without any self-definitional loops, fitted parameters renamed as predictions, or load-bearing self-citations that reduce the central claims to unverified inputs. The batch-service application simply allows the service-time distribution to depend on batch size while retaining the identical embedded chain structure, preserving self-contained derivations independent of the target results.

Axiom & Free-Parameter Ledger

0 free parameters · 4 axioms · 0 invented entities

The work rests entirely on standard queueing theory assumptions without new free parameters or invented entities.

axioms (4)
  • domain assumption Arrivals follow a Poisson process with rate lambda
    Defines the M in M/GI/1 model
  • domain assumption Service times are i.i.d. with general distribution
    Defines the GI in M/GI/1
  • domain assumption Vacations occur singly and are independent of arrivals
    Core model feature for single vacations
  • domain assumption Gated service: only customers found upon server return are served
    Specifies the service discipline

pith-pipeline@v0.9.0 · 5373 in / 1424 out tokens · 73094 ms · 2026-05-10T16:26:42.819725+00:00 · methodology

discussion (0)

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Reference graph

Works this paper leans on

8 extracted references · 8 canonical work pages

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