Loss Queueing Systems with Limited Processor Sharing and Applications to Communication Networks

2021 ◽  
Author(s):  
Marcelo Alencar ◽  
Marina Yashina ◽  
Alexander Tatashev
Keyword(s):  
Communication Networks ◽  
Queueing Systems ◽  
Processor Sharing

scholarly journals Queueing Systems with Random Volume Customers and their Performance Characteristics

2021 ◽  
Vol 45 (1) ◽  
pp. 21-38
Author(s):  
Oleg Tikhonenko ◽  
Marcin Ziółkowski
Keyword(s):  
Stochastic Process ◽  
Communication Networks ◽  
Service Time ◽  
Queueing Systems ◽  
Time Instant ◽  
Performance Characteristics ◽  
Buffer Space ◽  
Random Capacity ◽  
Space Capacity

In the paper, we consider non-classical queueing systems with non-homogeneous customers. The non-homogeneity we treat in the following sense: in systems under consideration, we characterize each customer by random capacity (volume) that can have an influence on his service time. We analyze a stochastic process having the sense of the total volume of all customers present in the system at given time instant. Such analysis for different queueing systems with unlimited or limited total volume can be used in designing of nodes of computer and communication networks while determining their buffer space capacity. We discuss basic problems of the theory of these systems and their performance characteristics. We also present some examples and results for systems with random volume customers

Distributed Neural Networks for Quality of Service Estimation in Communication Networks

2003 ◽  
Vol 03 (03) ◽  
pp. 297-308 ◽  
Author(s):  
Antoine Mahul ◽  
Alex Aussem
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Communication Networks ◽  
Coefficient Of Variation ◽  
Queueing Networks ◽  
Arrival Time ◽  
Queueing Systems ◽  
Feedforward Neural Networks ◽  
Single Server ◽  
Preventive Control

We study an original scheme based on distributed feedforward neural networks, aimed at modelling several queueing systems in cascade fed with bursty traffic. For each queueing system, a neural network is trained to anticipate the average number of waiting packets, the packet loss rate and the coefficient of variation of the packet inter-departure time, given the mean rate, the peak rate and the coefficient of variation of the packet inter-arrival time. The latter serves for the calculation of the coefficient of variation of the cell inter-arrival time of the aggregated traffic which is fed as input to the next neural network along the path. The potential of this method is successfully illustrated on several single server FIFO (First In, First Out) queues and on small queueing networks made up from a combination of queues in tandem and in parallel fed by a superposition of ideal sources. Our long-term goal is the design of preventive control strategy in a multiservice communication network.

Game Theory in Wireless and Communication Networks

2009 ◽  
Author(s):  
Zhu Han ◽  
Dusit Niyato ◽  
Walid Saad ◽  
Tamer Basar ◽  
Are Hjorungnes
Keyword(s):  
Game Theory ◽  
Communication Networks

Business Development Independent Populist Economic Owned Enterprises as a Village

2018 ◽  
Vol 9 (06) ◽  
pp. 20792-20799
Author(s):  
I Ketut Sunada ◽  
I Ketut Sandi
Keyword(s):  
Human Resources ◽  
Communication Networks ◽  
Added Value ◽  
Business Unit ◽  
Management Support ◽  
Economic Networks ◽  
Bargaining Position ◽  
Economic Infrastructure ◽  
Economic Assets ◽  
The Village

Bumdes is a village business unit whose capital comes from village-owned funds . The goal is to float the village potential into an independent village. Thus it takes effort and strategic and appropriate tips to achieve that goal. The first tip is to establish a forum for the development of economic networks in this case is the establishment of BUMDES. Some of the things that can be done are: (i) development of human resources capability so as to provide added value in the management of village economic assets, (ii) integrating rural economic products so as to have good bargaining position in market network, (iii) (iv) strengthening village economic institutions, (v) developing supporting elements such as micro-credit, market information, technological and management support, economic infrastructure and communication networks as well as support for guidance and regulation.

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