Results 121 to 130 of about 22,359 (313)

Use Cases of Machine Learning in Queueing Theory Based on a GI/G/K System

Mathematics
Machine learning (ML) in queueing theory combines the predictive and optimization capabilities of ML with the analytical frameworks of queueing models to improve performance in systems such as telecommunications, manufacturing, and service industries. In
Dmitry Efrosinin, Vladimir Vishnevsky, Natalia Stepanova, Janos Sztrik   +3 more
doaj   +1 more source

Queueing Theory Software Packages

, 2019
At the beginning of the thesis, I talked about the Theoretical part of the queuing theory and its principles. Introducing the types of programs used for testing and examining the software packages by giving some examples and explanations, later then at ...
Alhaj Mohammad, Mazin
core  

Leverage Points for Meaningful Participation: A 5‐Point Framework From a Rural South African Landscape

Systems Research and Behavioral Science, EarlyView.
ABSTRACT Alternative forms of natural resource management are required. Participation of local actors is necessary but not sufficient, for moving away from the conventional top‐down approaches. This paper develops a 5‐point framework for enabling meaningful participation in rural landscape governance.
Anthony S. Fry, Jai K. Clifford‐Holmes, Carolyn G. Palmer   +2 more
wiley   +1 more source

Queue Stability-Constrained Deep Reinforcement Learning Algorithms for Adaptive Transmission Control in Multi-Access Edge Computing Systems

Algorithms
To meet the escalating demands of massive data transmission, the next generation of wireless networks will leverage the multi-access edge computing (MEC) architecture coupled with multi-access transmission technologies to enhance communication resource ...
Longzhe Han, Tian Zeng, Jia Zhao, Xuecai Bao, Guangming Liu, Yan Liu   +5 more
doaj   +1 more source

Specific cost ratio in a port modelling by M/Ek/1 queue [PDF]

FME Transactions, 2018
The notion of specific cost ratio involves different type of costs of a ship and a port modeled as a queueing system. Using the known general formula for the specific cost ratio of arbitrary port queueing system (denoted as R), here we derive the related
Dragović Branislav, Meštrović Romeo, Zrnić Nenad, Dragojević Dražen   +3 more
doaj  

Bayesian control of the number of servers in a GI/M/c queuing system [PDF]

, 2004
In this paper we consider the problem of designing a GI/M/c queueing system. Given arrival and service data, our objective is to choose the optimal number of servers so as to minimize an expected cost function which depends on quantities, such as the ...
Lillo Rodríguez, Rosa Elvira, Ausín Olivera, María Concepción, Lillo, Rosa E., Wiper, Michael Peter, Wiper, Michael P., Ausín, Concepción   +5 more
core  

Dynamic server allocation for unstable queueing networks with flexible servers

, 2011
This paper is concerned with the dynamic assignment of servers to tasks in queueing networks where demand may exceed the capacity for service. The objective is to maximize the system throughput. We use fluid limit analysis to show that several quantities
Douglas G. Down, Salih Tekin, Down, Douglas G., Sigrún Andradóttir, Tekin, Salih, Andradottir, Sigrun   +5 more
core   +1 more source

Thai Translation and Validation of Chronic Rhinosinusitis‐Patient Reported Outcome (CRS‐PRO)

World Journal of Otorhinolaryngology - Head and Neck Surgery, EarlyView.
ABSTRACT Objectives The Chronic Rhinosinusitis Patient‐Reported Outcome (CRS‐PRO) questionnaire was recently developed for use in chronic rhinosinusitis (CRS) patients. This instrument was developed using current diagnostic criteria. This study aimed to translate and validate CRS‐PRO for Thai CRS patients.
Wirach Chitsuthipakorn, Vorachai Pooldum, Juthaporn Phetpong, Saranath Lawpoolsri, Dichapong Kanjanawasee, Patlada Kowatanamongkon, Kittichai Mongkolkul, Kachorn Seresirikachorn, Kornkiat Snidvongs   +8 more
wiley   +1 more source

Inference for double Pareto lognormal queues with applications [PDF]

In this article we describe a method for carrying out Bayesian inference for the double Pareto lognormal (dPlN) distribution which has recently been proposed as a model for heavy-tailed phenomena. We apply our approach to inference for the dPlN/M/1 and M/
Michael P. Wiper, Rosa E. Lillo, Pepa Ramirez, Simon P. Wilson   +3 more
core  

Asymptotically accurate flow completion time distributions under Fair Queueing

, 2007
Fair Queueing (FQ) is a very important queue discipline because it is sometimes viewed as a satisfactory model of the way Internet routers share their time between flows at present, and sometimes viewed as an ideal to which Internet router queueing ...
Addie, R. G., Yevdokimov, Oleksiy, R. G. Addie, Oleksiy Yevdokimov   +3 more
core   +1 more source