Integrating and managing converged multiservice networks

2005 ◽  
Vol 10 (1) ◽  
pp. 139-156 ◽  
Author(s):  
Nikhil B. Shah ◽  
Sukant K. Mohapatra
Keyword(s):  
Multiservice Networks

Service convergence using MPLS multiservice networks

2005 ◽  
Vol 43 (6) ◽  
pp. 152-159 ◽  
Author(s):  
M. Bocci ◽  
M. Aissaoui ◽  
D. Watkinson
Keyword(s):  
Multiservice Networks ◽  
Service Convergence

scholarly journals POWER FOR PROCESSING APPLICATION FLOWS AND QUEUE SIZES IN MASS SERVICE SYSTEMS

T-Comm ◽  
2020 ◽  
Vol 14 (9) ◽  
pp. 10-16
Author(s):  
Boris Ya. Lichtzinder ◽  
◽  
Igor A. Blatov ◽  
Keyword(s):  
Queuing Theory ◽  
Load Factor ◽  
Cyclic Process ◽  
Variable Component ◽  
Strongly Correlated ◽  
Processing Application ◽  
Conditional Average ◽  
Multiservice Networks ◽  
Processing Power ◽  
Average Size

The classical queuing theory studies time series processing under the assumption of sampling independence. However, the traffic of modern multiservice networks is usually strongly correlated and the methods of classical theory do not work. In this paper, we consider the cyclic process of queuing, conditional and unconditional mutual correlations. Conditional average values of queues are considered. The concept of processing power of the flow of applications in queuing systems (QS) is introduced. It is shown that the variable component of the indicated power is determined by the change in the load factor and corresponds to the conditional average size of the queue of applications in the QS.

scholarly journals Queuing System with Unreliable Servers and Inhomogeneous Intensities for Analyzing the Impact of Non-Stationarity to Performance Measures of Wireless Network under Licensed Shared Access

Mathematics ◽  
2020 ◽  
Vol 8 (5) ◽  
pp. 800 ◽  
Author(s):  
Ekaterina Markova ◽  
Yacov Satin ◽  
Irina Kochetkova ◽  
Alexander Zeifman ◽  
Anna Sinitcina
Keyword(s):  
Performance Measures ◽  
Blocking Probability ◽  
Radio Resource Management ◽  
Queuing System ◽  
Finite Buffer ◽  
Data Traffic ◽  
Multiservice Networks ◽  
Limited Frequency ◽  
The Impact

Given the limited frequency band resources and increasing volume of data traffic in modern multiservice networks, finding new and more efficient radio resource management (RRM) mechanisms is becoming indispensable. One of the implemented technologies to solve this problem is the licensed shared access (LSA) technology. LSA allows the spectrum that has been licensed to an owner, who has absolute priority on its utilization, to be used by other participants (i.e., tenants). Owner priority impacts negatively on the quality of service (QoS) by reducing the data bit rate and interrupting user services. In this paper, we propose a wireless multiservice network scheme model described as a queuing system with unreliable servers and a finite buffer within the LSA framework. The aim of this work is to analyze main system performance measures: blocking probability, average number of requests in queue, and average queue length depending on LSA frequencies’ availability.

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