Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I
portes grátis
Performance, Reliability, and Availability Evaluation of Computational Systems, Volume I
Performance and Background
Maciel, Paulo Romero Martins
Taylor & Francis Ltd
11/2024
824
Mole
9781032306391
Pré-lançamento - envio 15 a 20 dias após a sua edição
Descrição não disponível.
Chapter 1 Introduction
PART I Fundamental Concepts
Chapter 2 Introduction to Probability
Chapter 3 Exploratory Data Analysis
Chapter 4 Introduction to Random Variables
Chapter 5 Some Important Random Variables
Chapter 6 Statistical Inference and Data Fitting
Chapter 7 Data Scaling, Distances and Clustering
PART II Performance Modeling
Chapter 8 Operational Analysis
Chapter 9 Discrete Time Markov Chain
Chapter 10 Continuous Time Markov Chain
Chapter 11 Basic Queueing Models
Chapter 12 Petri Nets
Chapter 13 Stochastic Petri Nets
Chapter 14 Stochastic Simulation
PART I Fundamental Concepts
Chapter 2 Introduction to Probability
Chapter 3 Exploratory Data Analysis
Chapter 4 Introduction to Random Variables
Chapter 5 Some Important Random Variables
Chapter 6 Statistical Inference and Data Fitting
Chapter 7 Data Scaling, Distances and Clustering
PART II Performance Modeling
Chapter 8 Operational Analysis
Chapter 9 Discrete Time Markov Chain
Chapter 10 Continuous Time Markov Chain
Chapter 11 Basic Queueing Models
Chapter 12 Petri Nets
Chapter 13 Stochastic Petri Nets
Chapter 14 Stochastic Simulation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computation;Computer Systems;Computer Engineering;Stochastic Petri Nets;Markov Chain;Steady State Probability;Execution Time;Arrival Rate;System Throughput;PN;Steady State Probability Vector;Reachability Graph;Transition Probability Matrix;Service Execution;DTMC;Reachable Marking;State Space Size;Queue System;Lifetime Data Analysis;Inclusion Exclusion Method;Recurrence Time;VM Instance;Initial Marking;Marked Net;Basic Block;Request Arrives;Initial State Probability Vector;Control Flow Instructions
Chapter 1 Introduction
PART I Fundamental Concepts
Chapter 2 Introduction to Probability
Chapter 3 Exploratory Data Analysis
Chapter 4 Introduction to Random Variables
Chapter 5 Some Important Random Variables
Chapter 6 Statistical Inference and Data Fitting
Chapter 7 Data Scaling, Distances and Clustering
PART II Performance Modeling
Chapter 8 Operational Analysis
Chapter 9 Discrete Time Markov Chain
Chapter 10 Continuous Time Markov Chain
Chapter 11 Basic Queueing Models
Chapter 12 Petri Nets
Chapter 13 Stochastic Petri Nets
Chapter 14 Stochastic Simulation
PART I Fundamental Concepts
Chapter 2 Introduction to Probability
Chapter 3 Exploratory Data Analysis
Chapter 4 Introduction to Random Variables
Chapter 5 Some Important Random Variables
Chapter 6 Statistical Inference and Data Fitting
Chapter 7 Data Scaling, Distances and Clustering
PART II Performance Modeling
Chapter 8 Operational Analysis
Chapter 9 Discrete Time Markov Chain
Chapter 10 Continuous Time Markov Chain
Chapter 11 Basic Queueing Models
Chapter 12 Petri Nets
Chapter 13 Stochastic Petri Nets
Chapter 14 Stochastic Simulation
Este título pertence ao(s) assunto(s) indicados(s). Para ver outros títulos clique no assunto desejado.
Computation;Computer Systems;Computer Engineering;Stochastic Petri Nets;Markov Chain;Steady State Probability;Execution Time;Arrival Rate;System Throughput;PN;Steady State Probability Vector;Reachability Graph;Transition Probability Matrix;Service Execution;DTMC;Reachable Marking;State Space Size;Queue System;Lifetime Data Analysis;Inclusion Exclusion Method;Recurrence Time;VM Instance;Initial Marking;Marked Net;Basic Block;Request Arrives;Initial State Probability Vector;Control Flow Instructions
