Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems

of Applied Probability and Informatics of the Peoples’ Friendship University of Russia (RUDN University) in Moscow, Russia

Bibliographic Details
Main Authors: Naumov, Valeriy, Gaidamaka, Yuliya (Author), Yarkina, Natalia (Author), Samouylov, Konstantin (Author)
Format: eBook
Language:English
Published: Cham Springer International Publishing 2021, 2021
Edition:1st ed. 2021
Subjects:
Online Access:
Collection: Springer eBooks 2005- - Collection details see MPG.ReNa
LEADER 04174nmm a2200433 u 4500
001 EB002011734
003 EBX01000000000000001174633
005 00000000000000.0
007 cr|||||||||||||||||||||
008 220303 ||| eng
020 |a 9783030831325 
100 1 |a Naumov, Valeriy 
245 0 0 |a Matrix and Analytical Methods for Performance Analysis of Telecommunication Systems  |h Elektronische Ressource  |c by Valeriy Naumov, Yuliya Gaidamaka, Natalia Yarkina, Konstantin Samouylov 
250 |a 1st ed. 2021 
260 |a Cham  |b Springer International Publishing  |c 2021, 2021 
300 |a XXI, 308 p. 46 illus  |b online resource 
505 0 |a Part I. Preliminaries -- 1. Modeling and performance analysis of telecommunication systems -- 2. Erlang’s systems -- 3. Multiservice loss networks -- 4. Modeling arrival and service processes -- Part II. Matrix-analytical methods -- 5. Generator matrices -- 6. Block generator matrices -- 7. Matrix-geometric solutions -- Part III. Resource queueing systems -- 8. Stochastic Lists of Resource Allocations -- 9. The Multi-Resource Service System with Service Times Dependent on the Required Amounts of Resources -- 10. Markovian systems with random resource requirements -- 11. Stochastic networks with flexible servers -- 12. Application examples and case studies 
653 |a Computer Communication Networks 
653 |a Electronic digital computers / Evaluation 
653 |a System Performance and Evaluation 
653 |a Hardware Performance and Reliability 
653 |a Computer simulation 
653 |a Computer Modelling 
653 |a Computers 
653 |a Computer networks  
653 |a Computer Engineering and Networks 
653 |a Computer engineering 
700 1 |a Gaidamaka, Yuliya  |e [author] 
700 1 |a Yarkina, Natalia  |e [author] 
700 1 |a Samouylov, Konstantin  |e [author] 
041 0 7 |a eng  |2 ISO 639-2 
989 |b Springer  |a Springer eBooks 2005- 
028 5 0 |a 10.1007/978-3-030-83132-5 
856 4 0 |u https://doi.org/10.1007/978-3-030-83132-5?nosfx=y  |x Verlag  |3 Volltext 
082 0 |a 004.6 
082 0 |a 621.39 
520 |a of Applied Probability and Informatics of the Peoples’ Friendship University of Russia (RUDN University) in Moscow, Russia 
520 |a Before discussing ReLS models, it provides an overview of the essential prerequisites, from the basic modelsand techniques to more complicated matrix-analytical methods of queuing theory. Topics and features: Provides a broad-based introduction Covers matrix and other methods for performance analysis Offers a chapter on application examples and case studies Includes appendixes on random elements, Markov chains, and queuing models Appeals to an interdisciplinary audience This text/reference will be suitable for a broad interdisciplinary audience of students in mathematics and applied disciplines, such as computer science, electronics engineering, and operations research. Dr. Valeriy Naumov works for the Service Innovation Research Institute (PIKE) in Helsinki, Finland, a public non-profit research institute that focuses on theoretical and practical research for services and their improvement. Prof. Yuliya Gaidamaka, Dr. Natalia Yarkina, and Prof. Konstantin Samouylov work in the Dept.  
520 |a The global telecommunication network constantly is being improved to keep up with needs to exchange, store, and process huge, ever-growing amounts of data.This unique, concise textbook provides an introduction to the modelling and performance analysis of telecommunication systems. As new communications technologies emerge and evolve, in parallel engineers work to develop new and enhance existing techniques and even theories to analyze system performance. Communication systems and networks are generally modeled using probability frameworks, and especially queuing systems. However, for model analysis, other mathematical techniques are also widely employed, namely matrix methods of linear algebra. Unlike most textbooks on queueing theory, in particular those dealing with telecommunication applications, the main focus of this volume is on resource-loss-system (ReLS) models.