Quantitative assessments of distributed systems : methodologies and techniques / / edited by Dario Bruneo and Salvatore Distefano ; cover design by Russell Richardson |
Pubbl/distr/stampa | Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina | 004.029 |
Collana | Performability Engineering Series |
Soggetto topico |
Computer systems - Evaluation - Mathematics
System analysis - Mathematics Electronic data processing - Distributed processing - Mathematical models Quantitative research |
ISBN |
1-119-13113-8
1-119-13115-4 1-119-13114-6 |
Classificazione | TEC008000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; Contents; Preface; PART I VERIFICATION; 1 Modeling and Verification of Distributed Systems Using Markov Decision Processes; 1.1 Introduction; 1.2 Markov Decision Processes; 1.3 Markov Decision Well-Formed Net formalism; 1.4 Case study: Peer-to-Peer Botnets; 1.5 Conclusion; Appendices: Well-formed Net Formalism; A.0.1 Syntax of Basic Predicates; A.0.2 Markings and Enabling; References; 2 Quantitative Analysis of Distributed Systems in Stoklaim: A Tutorial; 2.1 Introduction; 2.2 StoKlaim: Stochastic Klaim; 2.2.1 Klaim in a Nutshell; 2.2.2 Syntactic Categories
2.2.3 StoKlaim Syntax2.2.4 StoKlaim at Work; 2.3 StoKlaim Operational Semantics; 2.3.1 Rate Transition Systems; 2.3.2 StoKlaim: RTS-based Semantics; 2.4 MoSL: Mobile Stochastic Logic; 2.5 jSAM: Java Stochastic Model-Checker; 2.6 Leader Election in StoKlaim; 2.6.1 As far as it can; 2.6.2 Asynchronous Leader Election; 2.7 Concluding Remarks; References; 3 Stochastic Path Properties of Distributed Systems: the CSLTA Approach; 3.1 Introduction; 3.2 The Reference Formalisms for System Definition; 3.3 The Formalism for Path Property Definition: CSLTA; 3.4 CSLTA at work: a Fault-Tolerant Node 3.5 Literature Comparison3.6 Summary and Final Remarks; References; PART II EVALUATION; 4 Failure Propagation in Load-Sharing Complex Systems; 4.1 Introduction; 4.2 Building Blocks; 4.2.1 Coarse-grained Modeling; 4.2.2 Abstract Mechanisms Impacting the Failure Occurrence; 4.2.3 Parametric Distributions Revisited; 4.2.4 Exponential Distribution; 4.2.5 Weibull Distribution; 4.2.6 Lognormal Distribution; 4.2.7 Other Distributions; 4.3 Sand Box for Distributed Failures; 4.3.1 Failure Modes; 4.3.2 LOS and Stress Rupture; 4.4 Summary; References 5 Approximating Distributions and Transient Probabilities by Matrix Exponential Distributions and Functions5.1 Introduction; 5.2 Phase Type and Matrix Exponential Distributions; 5.3 Bernstein Polynomials and Expolynomials; 5.4 Application of BEs to Distribution Fitting; 5.5 Application of BEs to Transient Probabilities; 5.6 Conclusions; References; 6 Worst-Case Analysis of Tandem Queueing Systems Using Network Calculus; 6.1 Introduction; 6.2 Basic Network Calculus Modeling: Per-fl ow Scheduling; 6.2.1 Service Curve; 6.2.2 Arrival Curve; 6.2.3 Delay and Backlog Bounds; 6.2.4 Numerical Examples 6.3 Advanced Network Calculus Modeling: Aggregate Multiplexing6.3.1 Aggregate-multiplexing Schemes; 6.4 Tandem Systems Traversed by Several Flows; 6.4.1 Model; 6.4.2 Loss of the Tightness; 6.4.3 Separated-flow Analysis; 6.5 Mathematical Programming Approach; 6.5.1 Blind Multiplexing; 6.5.2 FIFO Multiplexing; 6.6 Related Work; 6.7 Numerical Results; 6.8 Conclusions; References; 7 Cloud Evaluation: Benchmarking and Monitoring; 7.1 Introduction; 7.2 Benchmarking; 7.2.1 Benchamrking State of Art; 7.2.2 Benchmarking Big Data Services; 7.3 Benchmarking with mOSAIC; 7.4 Monitoring 7.4.1 Monitoring Problem Scenarios |
Record Nr. | UNINA-9910131281903321 |
Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|
Quantitative assessments of distributed systems : methodologies and techniques / / edited by Dario Bruneo and Salvatore Distefano ; cover design by Russell Richardson |
Pubbl/distr/stampa | Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 |
Descrizione fisica | 1 online resource (398 p.) |
Disciplina | 004.029 |
Collana | Performability Engineering Series |
Soggetto topico |
Computer systems - Evaluation - Mathematics
System analysis - Mathematics Electronic data processing - Distributed processing - Mathematical models Quantitative research |
ISBN |
1-119-13113-8
1-119-13115-4 1-119-13114-6 |
Classificazione | TEC008000 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto |
Cover; Title Page; Copyright Page; Contents; Preface; PART I VERIFICATION; 1 Modeling and Verification of Distributed Systems Using Markov Decision Processes; 1.1 Introduction; 1.2 Markov Decision Processes; 1.3 Markov Decision Well-Formed Net formalism; 1.4 Case study: Peer-to-Peer Botnets; 1.5 Conclusion; Appendices: Well-formed Net Formalism; A.0.1 Syntax of Basic Predicates; A.0.2 Markings and Enabling; References; 2 Quantitative Analysis of Distributed Systems in Stoklaim: A Tutorial; 2.1 Introduction; 2.2 StoKlaim: Stochastic Klaim; 2.2.1 Klaim in a Nutshell; 2.2.2 Syntactic Categories
2.2.3 StoKlaim Syntax2.2.4 StoKlaim at Work; 2.3 StoKlaim Operational Semantics; 2.3.1 Rate Transition Systems; 2.3.2 StoKlaim: RTS-based Semantics; 2.4 MoSL: Mobile Stochastic Logic; 2.5 jSAM: Java Stochastic Model-Checker; 2.6 Leader Election in StoKlaim; 2.6.1 As far as it can; 2.6.2 Asynchronous Leader Election; 2.7 Concluding Remarks; References; 3 Stochastic Path Properties of Distributed Systems: the CSLTA Approach; 3.1 Introduction; 3.2 The Reference Formalisms for System Definition; 3.3 The Formalism for Path Property Definition: CSLTA; 3.4 CSLTA at work: a Fault-Tolerant Node 3.5 Literature Comparison3.6 Summary and Final Remarks; References; PART II EVALUATION; 4 Failure Propagation in Load-Sharing Complex Systems; 4.1 Introduction; 4.2 Building Blocks; 4.2.1 Coarse-grained Modeling; 4.2.2 Abstract Mechanisms Impacting the Failure Occurrence; 4.2.3 Parametric Distributions Revisited; 4.2.4 Exponential Distribution; 4.2.5 Weibull Distribution; 4.2.6 Lognormal Distribution; 4.2.7 Other Distributions; 4.3 Sand Box for Distributed Failures; 4.3.1 Failure Modes; 4.3.2 LOS and Stress Rupture; 4.4 Summary; References 5 Approximating Distributions and Transient Probabilities by Matrix Exponential Distributions and Functions5.1 Introduction; 5.2 Phase Type and Matrix Exponential Distributions; 5.3 Bernstein Polynomials and Expolynomials; 5.4 Application of BEs to Distribution Fitting; 5.5 Application of BEs to Transient Probabilities; 5.6 Conclusions; References; 6 Worst-Case Analysis of Tandem Queueing Systems Using Network Calculus; 6.1 Introduction; 6.2 Basic Network Calculus Modeling: Per-fl ow Scheduling; 6.2.1 Service Curve; 6.2.2 Arrival Curve; 6.2.3 Delay and Backlog Bounds; 6.2.4 Numerical Examples 6.3 Advanced Network Calculus Modeling: Aggregate Multiplexing6.3.1 Aggregate-multiplexing Schemes; 6.4 Tandem Systems Traversed by Several Flows; 6.4.1 Model; 6.4.2 Loss of the Tightness; 6.4.3 Separated-flow Analysis; 6.5 Mathematical Programming Approach; 6.5.1 Blind Multiplexing; 6.5.2 FIFO Multiplexing; 6.6 Related Work; 6.7 Numerical Results; 6.8 Conclusions; References; 7 Cloud Evaluation: Benchmarking and Monitoring; 7.1 Introduction; 7.2 Benchmarking; 7.2.1 Benchamrking State of Art; 7.2.2 Benchmarking Big Data Services; 7.3 Benchmarking with mOSAIC; 7.4 Monitoring 7.4.1 Monitoring Problem Scenarios |
Record Nr. | UNINA-9910809546503321 |
Salem, Massachusetts ; ; Hoboken, New Jersey : , : Scrivener Publishing : , : Wiley, , 2015 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
|