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Analytical and Stochastic Modelling Techniques and Applications [[electronic resource] ] : 22nd International Conference, ASMTA 2015, Albena, Bulgaria, May 26-29, 2015. Proceedings / / edited by Marco Gribaudo, Daniele Manini, Anne Remke
Analytical and Stochastic Modelling Techniques and Applications [[electronic resource] ] : 22nd International Conference, ASMTA 2015, Albena, Bulgaria, May 26-29, 2015. Proceedings / / edited by Marco Gribaudo, Daniele Manini, Anne Remke
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (X, 217 p. 98 illus.)
Disciplina 519.23
Collana Programming and Software Engineering
Soggetto topico Software engineering
Optical data processing
Computer science—Mathematics
Pattern recognition
Data structures (Computer science)
Software Engineering
Image Processing and Computer Vision
Math Applications in Computer Science
Discrete Mathematics in Computer Science
Pattern Recognition
Data Structures
ISBN 3-319-18579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimal Analysis for M/G/1 Retrial Queue with Two-Way Communication -- Use of Flow Equivalent Servers in the Transient Analysis of Product Form Queuing Networks -- Model Checking of Open Interval Markov Chains -- Performance modeling of cellular systems with finite processor sharing queues in random environment, guard policy and flex retrial users -- Efficient Performance Evaluation of Wireless Networks with Varying Channel Conditions -- Mixed Networks with multiple classes of customers and restart -- Interconnected Wireless Sensors with Energy Harvesting -- Measuring the distance between MAPs and some applications -- Task delegation in a peer-to-peer volunteer computing platform -- On convergence rate to stationarity of queues with general Gaussian input -- Model-based Quantitative Security Analysis of Mobile Offloading Systems under Timing Attacks -- Single-Server Systems with Power-Saving Modes -- Multiserver Queues with Finite Capacity and Setup Time -- Power consumption analysis of replicated virtual applications -- On the Influence of High-Priority Customers on a Generalized Processor Sharing Queue.
Record Nr. UNISA-996200027603316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Analytical and Stochastic Modelling Techniques and Applications : 22nd International Conference, ASMTA 2015, Albena, Bulgaria, May 26-29, 2015. Proceedings / / edited by Marco Gribaudo, Daniele Manini, Anne Remke
Analytical and Stochastic Modelling Techniques and Applications : 22nd International Conference, ASMTA 2015, Albena, Bulgaria, May 26-29, 2015. Proceedings / / edited by Marco Gribaudo, Daniele Manini, Anne Remke
Edizione [1st ed. 2015.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Descrizione fisica 1 online resource (X, 217 p. 98 illus.)
Disciplina 519.23
Collana Programming and Software Engineering
Soggetto topico Software engineering
Optical data processing
Computer science—Mathematics
Pattern recognition
Data structures (Computer science)
Software Engineering
Image Processing and Computer Vision
Math Applications in Computer Science
Discrete Mathematics in Computer Science
Pattern Recognition
Data Structures
ISBN 3-319-18579-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimal Analysis for M/G/1 Retrial Queue with Two-Way Communication -- Use of Flow Equivalent Servers in the Transient Analysis of Product Form Queuing Networks -- Model Checking of Open Interval Markov Chains -- Performance modeling of cellular systems with finite processor sharing queues in random environment, guard policy and flex retrial users -- Efficient Performance Evaluation of Wireless Networks with Varying Channel Conditions -- Mixed Networks with multiple classes of customers and restart -- Interconnected Wireless Sensors with Energy Harvesting -- Measuring the distance between MAPs and some applications -- Task delegation in a peer-to-peer volunteer computing platform -- On convergence rate to stationarity of queues with general Gaussian input -- Model-based Quantitative Security Analysis of Mobile Offloading Systems under Timing Attacks -- Single-Server Systems with Power-Saving Modes -- Multiserver Queues with Finite Capacity and Setup Time -- Power consumption analysis of replicated virtual applications -- On the Influence of High-Priority Customers on a Generalized Processor Sharing Queue.
Record Nr. UNINA-9910483268503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analytical modeling of wireless communication systems / / Carla-Fabiana Chiasserini, Marco Gribaudo, Daniele Manini
Analytical modeling of wireless communication systems / / Carla-Fabiana Chiasserini, Marco Gribaudo, Daniele Manini
Autore Chiasserini Carla-Fabiana
Edizione [1st edition]
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Descrizione fisica 1 online resource (155 p.)
Disciplina 621.384
Collana Stochastic Models in Computer Science and Telecommunication Networks Set
Soggetto topico Wireless communication systems
Wireless communication systems - Design and construction
ISBN 1-119-30774-0
1-119-30773-2
1-119-30772-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Preface; Introduction; List of Acronyms; PART 1: Sensor Networks; PART 2: Vehicular Networks; PART 3: Cellular Networks; Bibliography; Index; Other titles from ISTE in Networks and Telecommunications; EULA; 1: Fluid Models and Energy Issues; 2: Hybrid Automata for Transient Delay Analysis; 3: Safety Message Broadcasting; 4: Modeling Information Sharing; 5: Multi-RAT Algorithms; 1.1. The fluid-based approach; 1.2. Network scenario; 1.3. The sensor network model; 1.4. Results; 2.1. Event detection in WSNs; 2.2. Model for single-hop network topologies
2.3. Solution technique2.4. Model for multi-hop network topologies; 2.5. Model validation and exploitation results; 2.6. Discussion; 3.1. System description; 3.2. Dissemination of safety messages; 3.3. Assumptions and notations; 3.4. Model outline; 3.5. Computation of the block probability; 3.6. Computation of the probability of first reception; 3.7. Performance evaluation; 4.1. System scenario; 4.2. Modeling information exchange in IVN; 4.3. Computation of the probability of successful information retrieval; 4.4. Model validation and exploitation; 5.1. RAT network; 5.2. Network model
5.3. Model solution5.4. Performance evaluation; 1.1.1. Sensor density and traffic generation; 1.1.2. Data routing; 1.1.3. Local and relay traffic rates; 1.1.4. Channel contention and data transmission; 1.1.5. Mean packet delivery delay; 1.1.6. Sensor active/sleep behavior; 1.3.1. A minimum energy routing strategy: computing u(r'|r); 1.3.2. Channel contention and data transmission: computing s(r) and PR(r); 1.3.3. Mean packet delivery delay: computing q(r); 1.4.1. Model validation; 1.4.2. Model exploitation; 1.4.3. Model solution complexity and accuracy; 2.1.1. The 802.15.4 MAC protocol
2.2.1. Single message transfer2.2.2. Multiple message transfers; 2.3.1. Time discretization; 2.3.2. Transient solution; 2.3.3. Performance metrics computation; 3.2.1. The spatial differentiation approach; 3.2.2. The safety application; 3.6.1. A Gaussian approximation to the transient system behavior; 3.7.1. The impact of power capture; 3.7.2. The case of occupation probability ρ = 1; 3.7.3. The case of homogeneous occupation probability ρ < 1; 3.7.4. The case of inhomogeneous occupation probability; 3.7.5. The impact of the forwarding policy; 4.2.1. Model description; 5.1.1. Scenario
5.1.2. RAT selection strategy5.2.1. Functional rates; 5.3.1. Analytical approach; 5.3.2. Computation of performance metrics; 5.4.1. Setting and results; 1.3.1.1. Computing єm(r, r')|; 1.3.1.2. Computing FkmE(e|r); 1.3.1.3. Computation of the minimum energy path (equation [1.9]); 1.3.1.4. Computing FmE(e|r); 1.3.1.5. Computing ps; r(r'|e); 1.3.1.6. Computing u(r'|r); 1.3.2.1. Computation of the mean number of transmissions freezing the backoff counter; 1.3.3.1. Computing q(r) for always active sensors; 1.3.3.2. Computing q(r) for active and sleeping sensors; 5.1.1.1. Network scenario
5.2.1.1. Rates derivation
Record Nr. UNINA-9910135012303321
Chiasserini Carla-Fabiana  
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Analytical modeling of wireless communication systems / / Carla-Fabiana Chiasserini, Marco Gribaudo, Daniele Manini
Analytical modeling of wireless communication systems / / Carla-Fabiana Chiasserini, Marco Gribaudo, Daniele Manini
Autore Chiasserini Carla-Fabiana
Edizione [1st edition]
Pubbl/distr/stampa London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Descrizione fisica 1 online resource (155 p.)
Disciplina 621.384
Collana Stochastic Models in Computer Science and Telecommunication Networks Set
Soggetto topico Wireless communication systems
Wireless communication systems - Design and construction
ISBN 1-119-30774-0
1-119-30773-2
1-119-30772-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cover; Title Page; Copyright; Contents; Preface; Introduction; List of Acronyms; PART 1: Sensor Networks; PART 2: Vehicular Networks; PART 3: Cellular Networks; Bibliography; Index; Other titles from ISTE in Networks and Telecommunications; EULA; 1: Fluid Models and Energy Issues; 2: Hybrid Automata for Transient Delay Analysis; 3: Safety Message Broadcasting; 4: Modeling Information Sharing; 5: Multi-RAT Algorithms; 1.1. The fluid-based approach; 1.2. Network scenario; 1.3. The sensor network model; 1.4. Results; 2.1. Event detection in WSNs; 2.2. Model for single-hop network topologies
2.3. Solution technique2.4. Model for multi-hop network topologies; 2.5. Model validation and exploitation results; 2.6. Discussion; 3.1. System description; 3.2. Dissemination of safety messages; 3.3. Assumptions and notations; 3.4. Model outline; 3.5. Computation of the block probability; 3.6. Computation of the probability of first reception; 3.7. Performance evaluation; 4.1. System scenario; 4.2. Modeling information exchange in IVN; 4.3. Computation of the probability of successful information retrieval; 4.4. Model validation and exploitation; 5.1. RAT network; 5.2. Network model
5.3. Model solution5.4. Performance evaluation; 1.1.1. Sensor density and traffic generation; 1.1.2. Data routing; 1.1.3. Local and relay traffic rates; 1.1.4. Channel contention and data transmission; 1.1.5. Mean packet delivery delay; 1.1.6. Sensor active/sleep behavior; 1.3.1. A minimum energy routing strategy: computing u(r'|r); 1.3.2. Channel contention and data transmission: computing s(r) and PR(r); 1.3.3. Mean packet delivery delay: computing q(r); 1.4.1. Model validation; 1.4.2. Model exploitation; 1.4.3. Model solution complexity and accuracy; 2.1.1. The 802.15.4 MAC protocol
2.2.1. Single message transfer2.2.2. Multiple message transfers; 2.3.1. Time discretization; 2.3.2. Transient solution; 2.3.3. Performance metrics computation; 3.2.1. The spatial differentiation approach; 3.2.2. The safety application; 3.6.1. A Gaussian approximation to the transient system behavior; 3.7.1. The impact of power capture; 3.7.2. The case of occupation probability ρ = 1; 3.7.3. The case of homogeneous occupation probability ρ < 1; 3.7.4. The case of inhomogeneous occupation probability; 3.7.5. The impact of the forwarding policy; 4.2.1. Model description; 5.1.1. Scenario
5.1.2. RAT selection strategy5.2.1. Functional rates; 5.3.1. Analytical approach; 5.3.2. Computation of performance metrics; 5.4.1. Setting and results; 1.3.1.1. Computing єm(r, r')|; 1.3.1.2. Computing FkmE(e|r); 1.3.1.3. Computation of the minimum energy path (equation [1.9]); 1.3.1.4. Computing FmE(e|r); 1.3.1.5. Computing ps; r(r'|e); 1.3.1.6. Computing u(r'|r); 1.3.2.1. Computation of the mean number of transmissions freezing the backoff counter; 1.3.3.1. Computing q(r) for always active sensors; 1.3.3.2. Computing q(r) for active and sleeping sensors; 5.1.1.1. Network scenario
5.2.1.1. Rates derivation
Record Nr. UNINA-9910821465503321
Chiasserini Carla-Fabiana  
London, England ; ; Hoboken, New Jersey : , : ISTE : , : Wiley, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui