Switching processes in queueing models [[electronic resource] /] / Vladimir V. Anisimov |
Autore | Anisimov V. V (Vladimir Vladislavovich) |
Pubbl/distr/stampa | London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 |
Descrizione fisica | 1 online resource (347 p.) |
Disciplina |
519.8/2
519.82 |
Collana | ISTE |
Soggetto topico |
Telecommunication - Switching systems - Mathematical models
Telecommunication - Traffic - Mathematical models Queuing theory |
Soggetto genere / forma | Electronic books. |
ISBN |
1-282-16515-1
9786612165153 0-470-61134-0 0-470-39395-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Switching Processes in Queueing Models; Contents; Preface; Definitions; Chapter 1. Switching Stochastic Models; 1.1. Random processes with discrete component; 1.1.1. Markov and semi-Markov processes; 1.1.2. Processes with independent increments and Markov switching; 1.1.3. Processes with independent increments and semi-Markov switching; 1.2. Switching processes; 1.2.1. Definition of switching processes; 1.2.2. Recurrent processes of semi-Markov type (simple case); 1.2.3. RPSM with Markov switching; 1.2.4. General case of RPSM; 1.2.5. Processes with Markov or semi-Markov switching
Chapter 3. Processes of Sums of Weakly-dependent Variables3.1. Limit theorems for processes of sums of conditionally independent random variables; 3.2. Limit theorems for sums with Markov switching; 3.2.1. Flows of rare events; 3.2.1.1. Discrete time; 3.2.1.2. Continuous time; 3.3. Quasi-ergodic Markov processes; 3.4. Limit theorems for non-homogenous Markov processes; 3.4.1. Convergence to Gaussian processes; 3.4.2. Convergence to processes with independent increments; 3.5. Bibliography; Chapter 4. Averaging Principle and Diffusion Approximation for Switching Processes; 4.1. Introduction 4.2. Averaging principle for switching recurrent sequences4.3. Averaging principle and diffusion approximation for RPSMs; 4.4. Averaging principle and diffusion approximation for recurrent processes of semi-Markov type (Markov case); 4.4.1. Averaging principle and diffusion approximation for SMP; 4.5. Averaging principle for RPSM with feedback; 4.6. Averaging principle and diffusion approximation for switching processes; 4.6.1. Averaging principle and diffusion approximation for processes with semi-Markov switching; 4.7. Bibliography Chapter 5. Averaging and Diffusion Approximation in Overloaded Switching Queueing Systems and Networks |
Record Nr. | UNINA-9910139519603321 |
Anisimov V. V (Vladimir Vladislavovich) | ||
London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Switching processes in queueing models [[electronic resource] /] / Vladimir V. Anisimov |
Autore | Anisimov V. V (Vladimir Vladislavovich) |
Pubbl/distr/stampa | London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 |
Descrizione fisica | 1 online resource (347 p.) |
Disciplina |
519.8/2
519.82 |
Collana | ISTE |
Soggetto topico |
Telecommunication - Switching systems - Mathematical models
Telecommunication - Traffic - Mathematical models Queuing theory |
ISBN |
1-282-16515-1
9786612165153 0-470-61134-0 0-470-39395-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Switching Processes in Queueing Models; Contents; Preface; Definitions; Chapter 1. Switching Stochastic Models; 1.1. Random processes with discrete component; 1.1.1. Markov and semi-Markov processes; 1.1.2. Processes with independent increments and Markov switching; 1.1.3. Processes with independent increments and semi-Markov switching; 1.2. Switching processes; 1.2.1. Definition of switching processes; 1.2.2. Recurrent processes of semi-Markov type (simple case); 1.2.3. RPSM with Markov switching; 1.2.4. General case of RPSM; 1.2.5. Processes with Markov or semi-Markov switching
Chapter 3. Processes of Sums of Weakly-dependent Variables3.1. Limit theorems for processes of sums of conditionally independent random variables; 3.2. Limit theorems for sums with Markov switching; 3.2.1. Flows of rare events; 3.2.1.1. Discrete time; 3.2.1.2. Continuous time; 3.3. Quasi-ergodic Markov processes; 3.4. Limit theorems for non-homogenous Markov processes; 3.4.1. Convergence to Gaussian processes; 3.4.2. Convergence to processes with independent increments; 3.5. Bibliography; Chapter 4. Averaging Principle and Diffusion Approximation for Switching Processes; 4.1. Introduction 4.2. Averaging principle for switching recurrent sequences4.3. Averaging principle and diffusion approximation for RPSMs; 4.4. Averaging principle and diffusion approximation for recurrent processes of semi-Markov type (Markov case); 4.4.1. Averaging principle and diffusion approximation for SMP; 4.5. Averaging principle for RPSM with feedback; 4.6. Averaging principle and diffusion approximation for switching processes; 4.6.1. Averaging principle and diffusion approximation for processes with semi-Markov switching; 4.7. Bibliography Chapter 5. Averaging and Diffusion Approximation in Overloaded Switching Queueing Systems and Networks |
Record Nr. | UNINA-9910829880103321 |
Anisimov V. V (Vladimir Vladislavovich) | ||
London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Switching processes in queueing models / / Vladimir V. Anisimov |
Autore | Anisimov V. V (Vladimir Vladislavovich) |
Pubbl/distr/stampa | London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 |
Descrizione fisica | 1 online resource (347 p.) |
Disciplina | 519.8/2 |
Collana | ISTE |
Soggetto topico |
Telecommunication - Switching systems - Mathematical models
Telecommunication - Traffic - Mathematical models Queuing theory |
ISBN |
1-282-16515-1
9786612165153 0-470-61134-0 0-470-39395-5 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Switching Processes in Queueing Models; Contents; Preface; Definitions; Chapter 1. Switching Stochastic Models; 1.1. Random processes with discrete component; 1.1.1. Markov and semi-Markov processes; 1.1.2. Processes with independent increments and Markov switching; 1.1.3. Processes with independent increments and semi-Markov switching; 1.2. Switching processes; 1.2.1. Definition of switching processes; 1.2.2. Recurrent processes of semi-Markov type (simple case); 1.2.3. RPSM with Markov switching; 1.2.4. General case of RPSM; 1.2.5. Processes with Markov or semi-Markov switching
Chapter 3. Processes of Sums of Weakly-dependent Variables3.1. Limit theorems for processes of sums of conditionally independent random variables; 3.2. Limit theorems for sums with Markov switching; 3.2.1. Flows of rare events; 3.2.1.1. Discrete time; 3.2.1.2. Continuous time; 3.3. Quasi-ergodic Markov processes; 3.4. Limit theorems for non-homogenous Markov processes; 3.4.1. Convergence to Gaussian processes; 3.4.2. Convergence to processes with independent increments; 3.5. Bibliography; Chapter 4. Averaging Principle and Diffusion Approximation for Switching Processes; 4.1. Introduction 4.2. Averaging principle for switching recurrent sequences4.3. Averaging principle and diffusion approximation for RPSMs; 4.4. Averaging principle and diffusion approximation for recurrent processes of semi-Markov type (Markov case); 4.4.1. Averaging principle and diffusion approximation for SMP; 4.5. Averaging principle for RPSM with feedback; 4.6. Averaging principle and diffusion approximation for switching processes; 4.6.1. Averaging principle and diffusion approximation for processes with semi-Markov switching; 4.7. Bibliography Chapter 5. Averaging and Diffusion Approximation in Overloaded Switching Queueing Systems and Networks |
Record Nr. | UNINA-9910876700903321 |
Anisimov V. V (Vladimir Vladislavovich) | ||
London ; ; ISTE ; ; Hoboken, NJ, : John Wiley & Sons, 2008 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|