Service level management in emerging environments / / edited by Nader Mbarek

• Record Nr.: UNINA9910830685603321
• Pubbl/distr/stampa: London, England ; ; Hoboken, New Jersey : , : ISTE Ltd. : , : John Wiley & Sons, Incorporated, , [2020]; ©2020
• ISBN: 1-119-81832-X; 1-119-81834-6
• Descrizione fisica: 1 online resource (276 pages) : illustrations
• Disciplina: 004.6
• Soggetti: Internet of things - Management; Computer networks - Management; Cloud computing - Management
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• 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.

Modality / / Joseph Melia

• Record Nr.: UNINA9910969541003321
• Autore: Melia Joseph
• Pubbl/distr/stampa: Montreal ; ; Ithaca, : McGill-Queen's University Press, c2003; Chesham [England] : , : Acumen, , 2003
• ISBN: 0-7735-2480-0; 0-7735-8338-6; 1-317-48967-5; 1-317-48968-3; 1-315-71068-4; 1-282-92135-5; 9786612921353; 1-84465-334-X
• Descrizione fisica: 1 online resource (viii, 190 pages) : digital, PDF file(s)
• Collana: Central problems of philosophy
• Disciplina: 160
• Soggetti: Modality (Logic); Modality (Theory of knowledge)
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Title from publisher's bibliographic system (viewed on 02 Oct 2015).
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Cover; Half Title; Title; Copyright; Contents; Acknowledgements; 1 Introduction to modality; 2 Modal language and modal logic; 3 Quinian scepticism; 4 Modalism; 5 Extreme realism; 6 Quiet moderate realism; 7 Possible worlds as sets of sentences; Notes; Further reading; Index
• Sommario/riassunto: More and more philosophers are using modal notions to solve problems and to analyse concepts. In this introduction to the topic of modality Joseph Melia places his emphasis on a commitment to possible worlds as the best way to understand the nature of necessity. Melia demonstrates how different theories about possible worlds not only influence our more general modal beliefs but illustrate and illuminate various methodological considerations, such as the degree to which any philosophical theory ought to respect common sense. The book begins by introducing readers to various notions of possibility, the de re/de dicto distinction and the ubiquity of our modal concepts. It then presents an accessible introduction to modal logic and possible worlds semantics. Melia argues that by accepting possible worlds into our metaphysics, we can justify such formal semantics, refute Quine's modal scepticism, and make sense of our ordinary thought and talk about the modal. Various theories of possible worlds are critically examined, including David Lewis's extreme realism, Alvin Plantinga's moderate realism, David Armstrong's combinatorialism and the linguistic theory. The book is accessible and engaging throughout and will be welcomed by students looking for a non-technical introduction to a much discussed and contested area of philosophical inquiry.