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Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr
| Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr |
| Autore | Chee Brian J. S. |
| Pubbl/distr/stampa | Boca Raton : , : CRC, , 2010 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 004 |
| Altri autori (Persone) | FranklinCurtis <1960-> |
| Soggetto topico |
Ubiquitous computing
Cloud computing - Management |
| Soggetto genere / forma | Electronic books. |
| ISBN |
0-429-13125-9
1-282-90263-6 9786612902635 1-4398-0617-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: What Is a Cloud?; Chapter 2: Grids, HPCs, and Clouds; Chapter 3: Virtualization and the Cloud: What's the Difference?; Chapter 4: Applications for Clouds; Chapter 5: Business in the Cloud; Chapter 6: Cloud Providers; Chapter 7: Cloud Issues; Chapter 8: Strategies for Clouds; Chapter 9: Cloud Security; Chapter 10: The Future of the Cloud; Glossary; Index |
| Record Nr. | UNINA-9910459048603321 |
Chee Brian J. S.
|
||
| Boca Raton : , : CRC, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr
| Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr |
| Autore | Chee Brian J. S. |
| Pubbl/distr/stampa | Boca Raton : , : CRC, , 2010 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 004 |
| Altri autori (Persone) | FranklinCurtis <1960-> |
| Soggetto topico |
Ubiquitous computing
Cloud computing - Management |
| ISBN |
0-429-13125-9
1-282-90263-6 9786612902635 1-4398-0617-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: What Is a Cloud?; Chapter 2: Grids, HPCs, and Clouds; Chapter 3: Virtualization and the Cloud: What's the Difference?; Chapter 4: Applications for Clouds; Chapter 5: Business in the Cloud; Chapter 6: Cloud Providers; Chapter 7: Cloud Issues; Chapter 8: Strategies for Clouds; Chapter 9: Cloud Security; Chapter 10: The Future of the Cloud; Glossary; Index |
| Record Nr. | UNINA-9910785113203321 |
|
Chee Brian J. S.
|
||
| Boca Raton : , : CRC, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr
| Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr |
| Autore | Chee Brian J. S. |
| Pubbl/distr/stampa | Boca Raton : , : CRC, , 2010 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 004 |
| Altri autori (Persone) | FranklinCurtis <1960-> |
| Soggetto topico |
Ubiquitous computing
Cloud computing - Management |
| ISBN |
0-429-13125-9
1-282-90263-6 9786612902635 1-4398-0617-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: What Is a Cloud?; Chapter 2: Grids, HPCs, and Clouds; Chapter 3: Virtualization and the Cloud: What's the Difference?; Chapter 4: Applications for Clouds; Chapter 5: Business in the Cloud; Chapter 6: Cloud Providers; Chapter 7: Cloud Issues; Chapter 8: Strategies for Clouds; Chapter 9: Cloud Security; Chapter 10: The Future of the Cloud; Glossary; Index |
| Record Nr. | UNINA-9910799964803321 |
|
Chee Brian J. S.
|
||
| Boca Raton : , : CRC, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr
| Cloud computing : technologies and strategies of the ubiquitous data center / / Brian J.S. Chee, Curtis Franklin, Jr |
| Autore | Chee Brian J. S |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | New York, : CRC, c2010 |
| Descrizione fisica | 1 online resource (289 p.) |
| Disciplina | 004 |
| Altri autori (Persone) | FranklinCurtis <1960-> |
| Soggetto topico |
Ubiquitous computing
Cloud computing - Management |
| ISBN |
1-04-006548-1
0-429-13125-9 1-282-90263-6 9786612902635 1-4398-0617-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Cover; Title; Copyright; Contents; Preface; Acknowledgments; About the Authors; Chapter 1: What Is a Cloud?; Chapter 2: Grids, HPCs, and Clouds; Chapter 3: Virtualization and the Cloud: What's the Difference?; Chapter 4: Applications for Clouds; Chapter 5: Business in the Cloud; Chapter 6: Cloud Providers; Chapter 7: Cloud Issues; Chapter 8: Strategies for Clouds; Chapter 9: Cloud Security; Chapter 10: The Future of the Cloud; Glossary; Index |
| Record Nr. | UNINA-9910966486003321 |
|
Chee Brian J. S
|
||
| New York, : CRC, c2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao
| Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao |
| Autore | Tian Wenhong |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 004.6782 |
| Soggetto topico | Cloud computing - Management |
| Soggetto genere / forma | Electronic books. |
| ISBN | 0-12-801645-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Optimized Cloud Resource Management and Scheduling; Copyright Page; Contents; Foreword; Preface; About the Authors; Acknowledgments; 1 An Introduction to Cloud Computing; Main Contents of this Chapter; 1.1 The background of Cloud computing; 1.2 Cloud computing is an integration of other advanced technologies; 1.2.1 Parallel computing; 1.2.2 Grid computing; 1.2.3 Utility computing; 1.2.4 Ubiquitous computing; 1.2.5 Software as a service; 1.2.6 Virtualization technology; 1.3 The driving forces of Cloud computing; 1.4 The development status and trends of Cloud computing
1.5 The classification of Cloud computing applications1.5.1 Classification by service type; 1.5.2 Classification by deployment method; 1.6 The different roles in the Cloud computing industry chain; 1.7 The main features and technical challenges of Cloud computing; 1.7.1 The main features of Cloud computing; 1.7.2 Challenging issues; Summary; References; 2 Big Data Technologies and Cloud Computing; Main Contents of this Chapter; 2.1 The background and definition of big data; 2.2 Big data problems; 2.2.1 The problem of speed; 2.2.2 The type and architecture problem 2.2.3 Volume and flexibility problems2.2.4 The cost problem; 2.2.5 The value mining problem; 2.2.6 The security and privacy problem; 2.2.7 Interoperability and data sharing issues; 2.3 The dialectical relationship between Cloud computing and big data; 2.4 Big data technologies; 2.4.1 Infrastructure support; 2.4.2 Data acquisition; 2.4.3 Data storage; 2.4.4 Data computing; 2.4.4.1 Offline batch computing; 2.4.4.2 Real-time interactive computing; 2.4.4.3 Streaming computing; 2.4.5 Data presentation and interaction; 2.4.6 Related work; Summary; Acknowledgments; References 3 Resource Modeling and Definitions for Cloud Data CentersMain Contents of this Chapter; 3.1 Resource models in Cloud data centers; 3.2 Data center resources; 3.3 Categories of Cloud data center resources; 3.3.1 Properties and operations of various resources; 3.3.1.1 Physical servers (PMs); 3.3.1.1.1 The main properties of a physical server; 3.3.1.1.2 Physical server states; 3.3.1.1.3 Main operations of a physical server; 3.3.1.1.4 Server operation error; 3.3.1.2 Physical server cluster; 3.3.1.2.1 Main properties of a physical server cluster; 3.3.1.2.2 States of a physical server cluster 3.3.1.2.3 Operations of a physical server cluster3.3.1.2.4 Physical server errors; 3.3.1.3 Virtual machines; 3.3.1.3.1 Properties of VMs; 3.3.1.3.2 Operations of VMs; 3.3.1.3.3 States of VMs; 3.3.1.3.4 Typical configurations of VMs; 3.3.1.4 Virtual clusters; 3.3.1.4.1 Main properties of a virtual cluster; 3.3.1.4.2 States of a virtual cluster; 3.3.1.4.3 Operations of a virtual cluster; 3.3.1.4.4 Operational errors on VMs; 3.3.1.5 Schedule domains; 3.3.1.5.1 Properties of schedule domains; 3.3.1.5.2 Operations of schedule domains; 3.3.1.5.3 States of schedule domains; 3.3.1.6 Storage 3.3.1.6.1 Properties of shared storage |
| Record Nr. | UNINA-9910460223003321 |
|
Tian Wenhong
|
||
| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao
| Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao |
| Autore | Tian Wenhong |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 004.6782 |
| Soggetto topico | Cloud computing - Management |
| ISBN | 0-12-801645-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Optimized Cloud Resource Management and Scheduling; Copyright Page; Contents; Foreword; Preface; About the Authors; Acknowledgments; 1 An Introduction to Cloud Computing; Main Contents of this Chapter; 1.1 The background of Cloud computing; 1.2 Cloud computing is an integration of other advanced technologies; 1.2.1 Parallel computing; 1.2.2 Grid computing; 1.2.3 Utility computing; 1.2.4 Ubiquitous computing; 1.2.5 Software as a service; 1.2.6 Virtualization technology; 1.3 The driving forces of Cloud computing; 1.4 The development status and trends of Cloud computing
1.5 The classification of Cloud computing applications1.5.1 Classification by service type; 1.5.2 Classification by deployment method; 1.6 The different roles in the Cloud computing industry chain; 1.7 The main features and technical challenges of Cloud computing; 1.7.1 The main features of Cloud computing; 1.7.2 Challenging issues; Summary; References; 2 Big Data Technologies and Cloud Computing; Main Contents of this Chapter; 2.1 The background and definition of big data; 2.2 Big data problems; 2.2.1 The problem of speed; 2.2.2 The type and architecture problem 2.2.3 Volume and flexibility problems2.2.4 The cost problem; 2.2.5 The value mining problem; 2.2.6 The security and privacy problem; 2.2.7 Interoperability and data sharing issues; 2.3 The dialectical relationship between Cloud computing and big data; 2.4 Big data technologies; 2.4.1 Infrastructure support; 2.4.2 Data acquisition; 2.4.3 Data storage; 2.4.4 Data computing; 2.4.4.1 Offline batch computing; 2.4.4.2 Real-time interactive computing; 2.4.4.3 Streaming computing; 2.4.5 Data presentation and interaction; 2.4.6 Related work; Summary; Acknowledgments; References 3 Resource Modeling and Definitions for Cloud Data CentersMain Contents of this Chapter; 3.1 Resource models in Cloud data centers; 3.2 Data center resources; 3.3 Categories of Cloud data center resources; 3.3.1 Properties and operations of various resources; 3.3.1.1 Physical servers (PMs); 3.3.1.1.1 The main properties of a physical server; 3.3.1.1.2 Physical server states; 3.3.1.1.3 Main operations of a physical server; 3.3.1.1.4 Server operation error; 3.3.1.2 Physical server cluster; 3.3.1.2.1 Main properties of a physical server cluster; 3.3.1.2.2 States of a physical server cluster 3.3.1.2.3 Operations of a physical server cluster3.3.1.2.4 Physical server errors; 3.3.1.3 Virtual machines; 3.3.1.3.1 Properties of VMs; 3.3.1.3.2 Operations of VMs; 3.3.1.3.3 States of VMs; 3.3.1.3.4 Typical configurations of VMs; 3.3.1.4 Virtual clusters; 3.3.1.4.1 Main properties of a virtual cluster; 3.3.1.4.2 States of a virtual cluster; 3.3.1.4.3 Operations of a virtual cluster; 3.3.1.4.4 Operational errors on VMs; 3.3.1.5 Schedule domains; 3.3.1.5.1 Properties of schedule domains; 3.3.1.5.2 Operations of schedule domains; 3.3.1.5.3 States of schedule domains; 3.3.1.6 Storage 3.3.1.6.1 Properties of shared storage |
| Record Nr. | UNINA-9910787012003321 |
|
Tian Wenhong
|
||
| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao
| Optimized cloud resource management and scheduling : theory and practice / / Wenhong Tian, Yong Zhao |
| Autore | Tian Wenhong |
| Edizione | [1st edition] |
| Pubbl/distr/stampa | Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 |
| Descrizione fisica | 1 online resource (285 p.) |
| Disciplina | 004.6782 |
| Soggetto topico | Cloud computing - Management |
| ISBN | 0-12-801645-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Front Cover; Optimized Cloud Resource Management and Scheduling; Copyright Page; Contents; Foreword; Preface; About the Authors; Acknowledgments; 1 An Introduction to Cloud Computing; Main Contents of this Chapter; 1.1 The background of Cloud computing; 1.2 Cloud computing is an integration of other advanced technologies; 1.2.1 Parallel computing; 1.2.2 Grid computing; 1.2.3 Utility computing; 1.2.4 Ubiquitous computing; 1.2.5 Software as a service; 1.2.6 Virtualization technology; 1.3 The driving forces of Cloud computing; 1.4 The development status and trends of Cloud computing
1.5 The classification of Cloud computing applications1.5.1 Classification by service type; 1.5.2 Classification by deployment method; 1.6 The different roles in the Cloud computing industry chain; 1.7 The main features and technical challenges of Cloud computing; 1.7.1 The main features of Cloud computing; 1.7.2 Challenging issues; Summary; References; 2 Big Data Technologies and Cloud Computing; Main Contents of this Chapter; 2.1 The background and definition of big data; 2.2 Big data problems; 2.2.1 The problem of speed; 2.2.2 The type and architecture problem 2.2.3 Volume and flexibility problems2.2.4 The cost problem; 2.2.5 The value mining problem; 2.2.6 The security and privacy problem; 2.2.7 Interoperability and data sharing issues; 2.3 The dialectical relationship between Cloud computing and big data; 2.4 Big data technologies; 2.4.1 Infrastructure support; 2.4.2 Data acquisition; 2.4.3 Data storage; 2.4.4 Data computing; 2.4.4.1 Offline batch computing; 2.4.4.2 Real-time interactive computing; 2.4.4.3 Streaming computing; 2.4.5 Data presentation and interaction; 2.4.6 Related work; Summary; Acknowledgments; References 3 Resource Modeling and Definitions for Cloud Data CentersMain Contents of this Chapter; 3.1 Resource models in Cloud data centers; 3.2 Data center resources; 3.3 Categories of Cloud data center resources; 3.3.1 Properties and operations of various resources; 3.3.1.1 Physical servers (PMs); 3.3.1.1.1 The main properties of a physical server; 3.3.1.1.2 Physical server states; 3.3.1.1.3 Main operations of a physical server; 3.3.1.1.4 Server operation error; 3.3.1.2 Physical server cluster; 3.3.1.2.1 Main properties of a physical server cluster; 3.3.1.2.2 States of a physical server cluster 3.3.1.2.3 Operations of a physical server cluster3.3.1.2.4 Physical server errors; 3.3.1.3 Virtual machines; 3.3.1.3.1 Properties of VMs; 3.3.1.3.2 Operations of VMs; 3.3.1.3.3 States of VMs; 3.3.1.3.4 Typical configurations of VMs; 3.3.1.4 Virtual clusters; 3.3.1.4.1 Main properties of a virtual cluster; 3.3.1.4.2 States of a virtual cluster; 3.3.1.4.3 Operations of a virtual cluster; 3.3.1.4.4 Operational errors on VMs; 3.3.1.5 Schedule domains; 3.3.1.5.1 Properties of schedule domains; 3.3.1.5.2 Operations of schedule domains; 3.3.1.5.3 States of schedule domains; 3.3.1.6 Storage 3.3.1.6.1 Properties of shared storage |
| Record Nr. | UNINA-9910812528603321 |
|
Tian Wenhong
|
||
| Waltham, Massachusetts : , : Morgan Kaufmann, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Service level management in emerging environments / / edited by Nader Mbarek
| Service level management in emerging environments / / edited by Nader Mbarek |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] |
| Descrizione fisica | 1 online resource (276 pages) : illustrations |
| Disciplina | 004.6 |
| Soggetto topico |
Internet of things - Management
Computer networks - Management Cloud computing - Management |
| Soggetto genere / forma | Electronic books. |
| ISBN |
1-119-81832-X
1-119-81834-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Service Level Management in the Internet of Things (IoT) -- 1.1. Introduction -- 1.2. IoT: definitions -- 1.3. IoT: an overview -- 1.3.1. IoT architectures -- 1.3.2. Application fields of the IoT -- 1.4. Security management and privacy protection in the IoT -- 1.4.1. Motivations and challenges -- 1.4.2. Security services in the IoT environment -- 1.4.3. Privacy protection and trust in the IoT -- 1.5. QoS management for IoT services -- 1.5.1. Motivations and challenges -- 1.5.2. Guaranteeing QoS in IoT -- 1.6. QBAIoT: QoS-based access method for IoT environments -- 1.6.1. Service level guarantee in the IoT -- 1.6.2. The QBAIoT process in the IoT -- 1.6.3. QBAIoT performance evaluation -- 1.7. Conclusion -- 1.8. References -- 2 Service Level Management in the Cloud -- 2.1. Introduction -- 2.2. The Cloud environment -- 2.2.1. Cloud Computing -- 2.2.2. Cloud Networking -- 2.2.3. Inter-Cloud -- 2.3. Service level and self-management in the Cloud -- 2.3.1. Quality of Service in a Cloud environment -- 2.3.2. Security in a Cloud environment -- 2.3.3. Self-management of Cloud environments -- 2.4. QoS guarantee in Cloud Networking -- 2.4.1. Cloud Networking architectures -- 2.4.2. Performance evaluation -- 2.5. Conclusion -- 2.6. References -- 3 Managing Energy Demand as a Service in a Smart Grid Environment -- 3.1. Introduction -- 3.2. The Smart Grid environment -- 3.2.1. Smart microgrids -- 3.2.2. Information and communication infrastructure -- 3.3. Demand management: fundamental concepts -- 3.3.1. Predicting loads -- 3.3.2. DR - demand response -- 3.4. Demand-side management -- 3.4.1. The architectures and components of DSM platforms -- 3.4.2. Classifying DSM approaches -- 3.4.3. Deterministic approaches for individual users.
3.4.4. Stochastic approaches for individual users -- 3.4.5. Deterministic approaches for consumer communities -- 3.4.6. Stochastic approaches for consumer communities -- 3.5. Techniques and methods for demand scheduling -- 3.5.1. Game theory -- 3.5.2. Multiagent systems -- 3.5.3. Machine learning -- 3.6. Conclusion -- 3.7. References -- 4 Managing Quality of Service and Security in an e-Health Environment -- 4.1. Introduction -- 4.2. e-health systems -- 4.2.1. Architecture -- 4.2.2. Characteristics -- 4.3. QoS in e-health systems -- 4.3.1. e-health services and QoS -- 4.3.2. QoS management in e-health systems -- 4.4. Security of e-health systems -- 4.4.1. Threats and attacks specific to e-health systems -- 4.4.2. Security management in e-health systems -- 4.5. Conclusion -- 4.6. References -- 5 Quality of Service Management in Wireless Mesh Networks -- 5.1. Introduction -- 5.2. WMNs: an overview -- 5.2.1. Definition of a WMN -- 5.2.2. Architecture of a radio mesh wireless network -- 5.2.3. Characteristics of a WMN environment -- 5.2.4. Standards for WMNs -- 5.2.5. Domains of applications -- 5.3. QoS in WMNs -- 5.3.1. QoS in networks -- 5.3.2. QoS constraints in WMNs -- 5.3.3. QoS mechanisms in WMNs -- 5.3.4. Research projects on QoS in WMNs -- 5.4. QoS-based routing for WMNs -- 5.4.1. Routing requirements in WMNs -- 5.4.2. Routing metrics in WMNs -- 5.4.3. QoS-based routing protocols in WMNs -- 5.5. HQMR: QoS-based hybrid routing protocol for mesh radio networks -- 5.5.1. Description of the HQMR protocol -- 5.5.2. How the HQMR protocol works -- 5.5.3. Validation of the HQMR protocol -- 5.6. Conclusion -- 5.7. References -- 6 Blockchain Based Authentication and Trust Management in Decentralized Networks -- 6.1. Introduction -- 6.1.1. Challenges and motivations, the state of the art -- 6.1.2. Blockchain, a support for authentication and trust. 6.2. The Blockchain Authentication and Trust Module (BATM)architecture -- 6.2.1. Context and developmentBATM architecture was proposed as -- 6.2.2. Managing identities and authentication -- 6.2.3. Calculating trust and reputation using the MLTE algorithm -- 6.3. Evaluating BATM -- 6.3.1. Simulation plan -- 6.3.2. Results and interpretation -- 6.4. Conclusion -- 6.5. References -- 7 How Machine Learning Can Help Resolve Mobility Constraints in D2D Communications -- 7.1. Introduction -- 7.2. D2D communication and the evolution of networks -- 7.2.1. The discovery phase in D2D communications -- 7.2.2. The data exchange phase in D2D communications -- 7.2.3. Investigations into future mobile networks -- 7.3. The context for machine learning and deep learning -- 7.3.1. Overview of deep learning and its application -- 7.3.2. Types of machine learning -- 7.3.3. Linear regression and classification -- 7.4. Dynamic discovery -- 7.4.1. Real-time prediction of user density -- 7.4.2. The dynamic discovery algorithm -- 7.5. Experimental results -- 7.5.1. General hypotheses -- 7.5.2. Traffic with low user density -- 7.5.3. Traffic with high user density -- 7.6. Conclusion -- 7.7. References -- 8 The Impact of Cognitive Radio on Green Networking: The Learning-through reinforcement Approach -- 8.1. Introduction -- 8.2. Green networking -- 8.2.1. Why should we reduce energy consumption? -- 8.2.2. Where can we reduce energy consumption? -- 8.2.3. Definition and objectives of green networking -- 8.3. Green strategies -- 8.3.1. Consolidation of resources -- 8.3.2. Selective connectivity -- 8.3.3. Virtualization -- 8.3.4. Energy-proportional computing -- 8.4. Green wireless networks -- 8.4.1. Energy efficiency in wireless networks -- 8.4.2. Controlling transmission power -- 8.5. How CR contributes to green networking -- 8.5.1. The principle behind CR. 8.5.2. The cognition cycle -- 8.5.3. Green networking in CR networks -- 8.6. Learning through reinforcement by taking into account energy efficiency during opportunistic access to the spectrum -- 8.6.1. Formulating the problem -- 8.6.2. Comparison between CR and Q_learning enabled CR -- 8.7. Conclusion -- 8.8. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9910555011003321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Service level management in emerging environments / / edited by Nader Mbarek
| Service level management in emerging environments / / edited by Nader Mbarek |
| Pubbl/distr/stampa | London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] |
| Descrizione fisica | 1 online resource (276 pages) : illustrations |
| Disciplina | 004.6 |
| Soggetto topico |
Internet of things - Management
Computer networks - Management Cloud computing - Management |
| ISBN |
1-119-81832-X
1-119-81834-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Cover -- Half-Title Page -- Title Page -- Copyright Page -- Contents -- Preface -- 1 Service Level Management in the Internet of Things (IoT) -- 1.1. Introduction -- 1.2. IoT: definitions -- 1.3. IoT: an overview -- 1.3.1. IoT architectures -- 1.3.2. Application fields of the IoT -- 1.4. Security management and privacy protection in the IoT -- 1.4.1. Motivations and challenges -- 1.4.2. Security services in the IoT environment -- 1.4.3. Privacy protection and trust in the IoT -- 1.5. QoS management for IoT services -- 1.5.1. Motivations and challenges -- 1.5.2. Guaranteeing QoS in IoT -- 1.6. QBAIoT: QoS-based access method for IoT environments -- 1.6.1. Service level guarantee in the IoT -- 1.6.2. The QBAIoT process in the IoT -- 1.6.3. QBAIoT performance evaluation -- 1.7. Conclusion -- 1.8. References -- 2 Service Level Management in the Cloud -- 2.1. Introduction -- 2.2. The Cloud environment -- 2.2.1. Cloud Computing -- 2.2.2. Cloud Networking -- 2.2.3. Inter-Cloud -- 2.3. Service level and self-management in the Cloud -- 2.3.1. Quality of Service in a Cloud environment -- 2.3.2. Security in a Cloud environment -- 2.3.3. Self-management of Cloud environments -- 2.4. QoS guarantee in Cloud Networking -- 2.4.1. Cloud Networking architectures -- 2.4.2. Performance evaluation -- 2.5. Conclusion -- 2.6. References -- 3 Managing Energy Demand as a Service in a Smart Grid Environment -- 3.1. Introduction -- 3.2. The Smart Grid environment -- 3.2.1. Smart microgrids -- 3.2.2. Information and communication infrastructure -- 3.3. Demand management: fundamental concepts -- 3.3.1. Predicting loads -- 3.3.2. DR - demand response -- 3.4. Demand-side management -- 3.4.1. The architectures and components of DSM platforms -- 3.4.2. Classifying DSM approaches -- 3.4.3. Deterministic approaches for individual users.
3.4.4. Stochastic approaches for individual users -- 3.4.5. Deterministic approaches for consumer communities -- 3.4.6. Stochastic approaches for consumer communities -- 3.5. Techniques and methods for demand scheduling -- 3.5.1. Game theory -- 3.5.2. Multiagent systems -- 3.5.3. Machine learning -- 3.6. Conclusion -- 3.7. References -- 4 Managing Quality of Service and Security in an e-Health Environment -- 4.1. Introduction -- 4.2. e-health systems -- 4.2.1. Architecture -- 4.2.2. Characteristics -- 4.3. QoS in e-health systems -- 4.3.1. e-health services and QoS -- 4.3.2. QoS management in e-health systems -- 4.4. Security of e-health systems -- 4.4.1. Threats and attacks specific to e-health systems -- 4.4.2. Security management in e-health systems -- 4.5. Conclusion -- 4.6. References -- 5 Quality of Service Management in Wireless Mesh Networks -- 5.1. Introduction -- 5.2. WMNs: an overview -- 5.2.1. Definition of a WMN -- 5.2.2. Architecture of a radio mesh wireless network -- 5.2.3. Characteristics of a WMN environment -- 5.2.4. Standards for WMNs -- 5.2.5. Domains of applications -- 5.3. QoS in WMNs -- 5.3.1. QoS in networks -- 5.3.2. QoS constraints in WMNs -- 5.3.3. QoS mechanisms in WMNs -- 5.3.4. Research projects on QoS in WMNs -- 5.4. QoS-based routing for WMNs -- 5.4.1. Routing requirements in WMNs -- 5.4.2. Routing metrics in WMNs -- 5.4.3. QoS-based routing protocols in WMNs -- 5.5. HQMR: QoS-based hybrid routing protocol for mesh radio networks -- 5.5.1. Description of the HQMR protocol -- 5.5.2. How the HQMR protocol works -- 5.5.3. Validation of the HQMR protocol -- 5.6. Conclusion -- 5.7. References -- 6 Blockchain Based Authentication and Trust Management in Decentralized Networks -- 6.1. Introduction -- 6.1.1. Challenges and motivations, the state of the art -- 6.1.2. Blockchain, a support for authentication and trust. 6.2. The Blockchain Authentication and Trust Module (BATM)architecture -- 6.2.1. Context and developmentBATM architecture was proposed as -- 6.2.2. Managing identities and authentication -- 6.2.3. Calculating trust and reputation using the MLTE algorithm -- 6.3. Evaluating BATM -- 6.3.1. Simulation plan -- 6.3.2. Results and interpretation -- 6.4. Conclusion -- 6.5. References -- 7 How Machine Learning Can Help Resolve Mobility Constraints in D2D Communications -- 7.1. Introduction -- 7.2. D2D communication and the evolution of networks -- 7.2.1. The discovery phase in D2D communications -- 7.2.2. The data exchange phase in D2D communications -- 7.2.3. Investigations into future mobile networks -- 7.3. The context for machine learning and deep learning -- 7.3.1. Overview of deep learning and its application -- 7.3.2. Types of machine learning -- 7.3.3. Linear regression and classification -- 7.4. Dynamic discovery -- 7.4.1. Real-time prediction of user density -- 7.4.2. The dynamic discovery algorithm -- 7.5. Experimental results -- 7.5.1. General hypotheses -- 7.5.2. Traffic with low user density -- 7.5.3. Traffic with high user density -- 7.6. Conclusion -- 7.7. References -- 8 The Impact of Cognitive Radio on Green Networking: The Learning-through reinforcement Approach -- 8.1. Introduction -- 8.2. Green networking -- 8.2.1. Why should we reduce energy consumption? -- 8.2.2. Where can we reduce energy consumption? -- 8.2.3. Definition and objectives of green networking -- 8.3. Green strategies -- 8.3.1. Consolidation of resources -- 8.3.2. Selective connectivity -- 8.3.3. Virtualization -- 8.3.4. Energy-proportional computing -- 8.4. Green wireless networks -- 8.4.1. Energy efficiency in wireless networks -- 8.4.2. Controlling transmission power -- 8.5. How CR contributes to green networking -- 8.5.1. The principle behind CR. 8.5.2. The cognition cycle -- 8.5.3. Green networking in CR networks -- 8.6. Learning through reinforcement by taking into account energy efficiency during opportunistic access to the spectrum -- 8.6.1. Formulating the problem -- 8.6.2. Comparison between CR and Q_learning enabled CR -- 8.7. Conclusion -- 8.8. References -- List of Authors -- Index -- EULA. |
| Record Nr. | UNINA-9910830685603321 |
| London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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