Stochastic Network Models in Innovative Projecting

Stochastic Network Models in Innovative Projecting PDF

Author: D. Golenko-Ginzburg

Publisher:

Published: 2014-01-31

Total Pages:

ISBN-13: 9781621740469

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The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various on-line control models for different kinds of projects with fixed structure and constrained project scheduling models with various resource delivery schedules. The book is widely illustrated with examples. The monograph is intended for researchers in innovation-oriented design offices and companies, academic institutions as well as for graduate scholars specializing in "Project Management", "Industrial Engineering" and "Operations Research".

Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects

Stochastic Network Models in Innovative Projecting: Alternative stochastic network projects PDF

Author: Dmitriĭ Isaakovich Golenko

Publisher:

Published: 2014

Total Pages: 0

ISBN-13: 9781621740902

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The book presents a unification of the most essential models to monitor stochastic network projects of innovative nature. The book comprises various control models for different kinds of projects with stochastic structure, including constrained project scheduling models with various resource delivery schedules. The backbone of the monograph centers on single-level and hierarchical alternative stochastic network models. The book is widely illustrated with examples.The monograph is intended for researchers in innovation-oriented design offices and companies, academic institutions as well as for graduate scholars specializing in "Project Management", "Industrial Engineering" and "Operations Research".

Society 5.0: Cyberspace for Advanced Human-Centered Society

Society 5.0: Cyberspace for Advanced Human-Centered Society PDF

Author: Alla G. Kravets

Publisher: Springer Nature

Published: 2021-01-04

Total Pages: 275

ISBN-13: 3030635635

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This book includes new findings on socio-economic cyber systems control and development approaches based on AI and data-driven techniques. The authors determine key social challenges and the main features of management and modeling processes. To enhance the efficiency of the socio-economic process, new approaches were suggested as well as its components based on the concept of Society 5.0. In this book, the authors substantiate the scientific, practical, and methodological approaches to the smart technologies’ development. The core is a human-centered concept of cyber systems as well as the intelligent paradigm. Approaches combined both mathematical models and data processing techniques are also proposed as advanced methods for smart system design for ecology and health care. The implementations of the developed prototypes, including testing in real domains, which have collected and analyzed big data and proved their effectiveness, are presented. The target audience of the book are practitioners, enterprise representatives, scientists, and Ph.D. and Master students who perform scientific research or applications of socio-economic cyber systems in different domains.

Distributions in Stochastic Network Models

Distributions in Stochastic Network Models PDF

Author: Gurami Shalvovich T︠S︡it︠s︡iashvili

Publisher: Nova Publishers

Published: 2008

Total Pages: 90

ISBN-13: 9781604561432

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This monograph presents important research results in the areas of queuing theory, risk theory, graph theory and reliability theory. The analysed stochastic network models are aggregated systems of elements in random environments. To construct and to analyse a large number of different stochastic network models it is possible by a proof of new analytical results and a construction of calculation algorithms besides of the application of cumbersome traditional techniques Such a constructive approach is in a prior detailed investigation of an algebraic model component and leads to an appearance of new original stochastic network models, algorithms and application to computer science and information technologies. Accuracy and asymptotic formulas, additional calculation algorithms have been constructed due to an introduction of control parameters into analysed models, a reduction of multi-dimensional problems to one dimensional problems, a comparative analysis, a graphic interpretation of network models, an investigation of new models characteristics, a choice of special distributions classes or principles of subsystems aggregation, proves of new statements.

Performance Modeling, Stochastic Networks, and Statistical Multiplexing

Performance Modeling, Stochastic Networks, and Statistical Multiplexing PDF

Author: Ravi R. Mazumdar

Publisher: Morgan & Claypool Publishers

Published: 2013-06-01

Total Pages: 213

ISBN-13: 1627051732

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This monograph presents a concise mathematical approach for modeling and analyzing the performance of communication networks with the aim of introducing an appropriate mathematical framework for modeling and analysis as well as understanding the phenomenon of statistical multiplexing. The models, techniques, and results presented form the core of traffic engineering methods used to design, control and allocate resources in communication networks.The novelty of the monograph is the fresh approach and insights provided by a sample-path methodology for queueing models that highlights the important ideas of Palm distributions associated with traffic models and their role in computing performance measures. The monograph also covers stochastic network theory including Markovian networks. Recent results on network utility optimization and connections to stochastic insensitivity are discussed. Also presented are ideas of large buffer, and many sources asymptotics that play an important role in understanding statistical multiplexing. In particular, the important concept of effective bandwidths as mappings from queueing level phenomena to loss network models is clearly presented along with a detailed discussion of accurate approximations for large networks. Table of Contents: Introduction to Traffic Models and Analysis / Queues and Performance Analysis / Loss Models for Networks / Stochastic Networks and Insensitivity / Statistical Multiplexing

The Evolution of Innovation Networks

The Evolution of Innovation Networks PDF

Author: Tobias Buchmann

Publisher: Springer

Published: 2015-06-05

Total Pages: 248

ISBN-13: 3658103833

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Tobias Buchmann analyzes innovation network dynamics in the German automotive industry. The study is based on a model for analyzing the complex evolution of innovation networks and the driving mechanisms underlying network evolution derived from theoretical and empirical findings in innovation economics, economic geography and management science. The author uses established social network analysis (SNA) techniques and combines them with recent methodological developments in the analysis of network evolution.

Stochastic Network Calculus

Stochastic Network Calculus PDF

Author: Yuming Jiang

Publisher: Springer Science & Business Media

Published: 2009-03-01

Total Pages: 240

ISBN-13: 1848001274

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Network calculus is a theory dealing with queuing systems found in computer networks. Its focus is on performance guarantees. Central to the theory is the use of alternate algebras such as the min-plus algebra to transform complex network systems into analytically tractable systems. To simplify the ana- sis, another idea is to characterize tra?c and service processes using various bounds. Since its introduction in the early 1990s, network calculus has dev- oped along two tracks—deterministic and stochastic. This book is devoted to summarizing results for stochastic network calculus that can be employed in the design of computer networks to provide stochastic service guarantees. Overview and Goal Like conventional queuing theory, stochastic network calculus is based on properly de?ned tra?c models and service models. However, while in c- ventional queuing theory an arrival process is typically characterized by the inter-arrival times of customers and a service process by the service times of customers, the arrival process and the service process are modeled in n- work calculus respectively by some arrival curve that (maybe probabilis- cally) upper-bounds the cumulative arrival and by some service curve that (maybe probabilistically) lower-bounds the cumulative service. The idea of usingboundstocharacterizetra?candservicewasinitiallyintroducedfor- terministic network calculus. It has also been extended to stochastic network calculus by exploiting the stochastic nature of arrival and service processes.

Stochastic Networks and Queues

Stochastic Networks and Queues PDF

Author: Philippe Robert

Publisher: Springer Science & Business Media

Published: 2013-04-17

Total Pages: 406

ISBN-13: 3662130521

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Queues and stochastic networks are analyzed in this book with purely probabilistic methods. The purpose of these lectures is to show that general results from Markov processes, martingales or ergodic theory can be used directly to study the corresponding stochastic processes. Recent developments have shown that, instead of having ad-hoc methods, a better understanding of fundamental results on stochastic processes is crucial to study the complex behavior of stochastic networks. In this book, various aspects of these stochastic models are investigated in depth in an elementary way: Existence of equilibrium, characterization of stationary regimes, transient behaviors (rare events, hitting times) and critical regimes, etc. A simple presentation of stationary point processes and Palm measures is given. Scaling methods and functional limit theorems are a major theme of this book. In particular, a complete chapter is devoted to fluid limits of Markov processes.

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