Results 81 to 90 of about 54,946 (185)

On the M/G/1 retrial queue subjected to breakdowns [PDF]

, 2002
Retrial queueing systems are characterized by the requirement that customers finding the service area busy must join the retrial group and reapply for service at random intervals. This paper deals with the M/G/1 retrial queue subjected to breakdowns.
Djellab, Natalia V., Natalia V. Djellab
core   +1 more source

Queueing analysis of a VoIP call center under retrial policy with re-service, server maintenance, and service disruptions [PDF]

Iranian Journal of Numerical Analysis and Optimization
This paper develops a retrial queueing framework for a Voice over Internet Protocol (VoIP) call center server with two obligatory service phases. Incoming voice packets arrive according to the Poisson process. The model captures caller behavior involving
Preena R., Sumitha D.
doaj   +1 more source

From rights to runtime: Privacy engineering for agentic AI

AI Magazine, Volume 46, Issue 4, Winter 2025.
Abstract Agentic AI shifts stacks from request‐response to plan‐execute. Systems no longer just answer; they act—planning tasks, calling tools, keeping memory, and changing external state. That shift moves privacy from policy docs into the runtime.
Keivan Navaie
wiley   +1 more source

Analysis of a Constant Retrial Queue with Joining Strategy and Impatient Retrial Customers [PDF]

, 2017
This paper treats an M/M/1 retrial queue with constant retrial times. If the server is busy at the arrival epoch, the arriving customer decides to join the retrial orbit with probability q or balk with probability 1-q.
Xiangyang Niu, Shan Gao, Tao Li
core   +1 more source

Performance Analysis of Two Different Types of Waiting Queues with Working Vacations

Journal of Mathematics
This work examines a new class of working vacation queueing models that contain regular (original) and retrial waiting queues. Upon arrival, a customer either starts their service instantly if the server is available, or they join the regular queue if ...
M. Sundararaman, D. Narasimhan, P. Rajadurai   +2 more
doaj   +1 more source

Large sample inference in retrial queues

Mathematical and Computer Modelling, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Rodrigo, A., Vázquez, M.
openaire   +2 more sources

Offline Learning for Acknowledgment Optimization in Massive LoRaWAN Networks

Internet Technology Letters, Volume 8, Issue 6, November/December 2025.
ABSTRACT LoRaWAN faces critical limitations in large‐scale deployments due to spectrum contention, duty‐cycle restrictions, and energy constraints. These challenges impact the reliability and responsiveness of bidirectional communication particularly when conventional acknowledgment mechanisms are used.
Leila Aissaoui Ferhi
wiley   +1 more source

(R2060) An M/G/1 Retrial Queue with Recurrent Customers, General Retrial Times and Working Vacation [PDF]

, 2023
In this article, we analyze an M/G/1 retrial queue with recurrent customers, general retrial times and working vacation. In this model, we use two types of customers.
Pauline Veronica, A. Jeba, Bala Murugan, S. Pazhani   +1 more
core  

Retrial G-queue with precipitous breakdown and non-tenacious customers [PDF]

Yugoslav Journal of Operations Research
We perform an analysis on an M/G/1 system that has bulk arrival Poisson process as well as instantaneous service, Precipitous breakdown and random repair, Gqueue, and operation under an MBV (Modified Bernoulli vacation) policy.
Bharathi Jagannathan, Nandhini Sivasubramaniam   +1 more
doaj   +1 more source

Swarm based Heuristic Optimization of the Recurrent Customers and Standby Server Under General Retrial Times [PDF]

International Journal of Mathematical, Engineering and Management Sciences
As queueing theory and modeling deal with queue length, waiting time and busy period, that all affect costs for an in institution and/or a busing corporation, the optimization plays a crucial role in such models.
N. Micheal Mathavavisakan, K. Indhira, Aliakbar Montazer Haghighi   +2 more
doaj   +1 more source