LEADER 01209nam2 22002893i 450 001 VIA0043322 005 20231121125924.0 100 $a20120910d1975 ||||0itac50 ba 101 | $aita 102 $ait 181 1$6z01$ai $bxxxe 182 1$6z01$an 200 0 $a10: [Peris-Pot] 210 $aBrescia$cPaideia$d[1975] 215 $aXIII p., 1566 col.$d25 cm 300 $aTraduzione di Franco Ronchi ... [et al.] 300 $aIndicazione di volume sul dorso in lettere greche. 461 1$1001CFI0013720$12001 $aGrande lessico del Nuovo Testamento$ffondato da Gerhard Kittel$gcontinuato da Gerhard Friedrich$gedizione italiana a cura di F. Montagnini, G. Scarpat, O. Soffritti$v10 801 3$aIT$bIT-01$c20120910 850 $aIT-FR0084 $aIT-FR0017 899 $aBiblioteca Del Monumento Nazionale Di Montecassino$bFR0084 899 $aBiblioteca umanistica Giorgio Aprea$bFR0017 912 $aVIA0043322 950 2$aBiblioteca umanistica Giorgio Aprea$d 52S.L. 225.48 GLNT.10 Vol. 10$e 52FLS0000024725 VMB RS $fC $h20120910$i20120910 977 $a 25$a 52 996 $a???????$93411268 997 $aUNICAS LEADER 07385nam 2200493 450 001 9910830685603321 005 20230823002657.0 010 $a1-119-81832-X 010 $a1-119-81834-6 035 $a(CKB)4100000011798707 035 $a(MiAaPQ)EBC6516148 035 $a(Au-PeEL)EBL6516148 035 $a(OCoLC)1243537017 035 $a(EXLCZ)994100000011798707 100 $a20211008d2020 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 00$aService level management in emerging environments /$fedited by Nader Mbarek 210 1$aLondon, England ;$aHoboken, New Jersey :$cISTE Ltd. :$cJohn Wiley & Sons, Incorporated,$d[2020] 210 4$dİ2020 215 $a1 online resource (276 pages) $cillustrations 311 $a1-78945-002-0 327 $aCover -- 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. 327 $a3.4.4. 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. 327 $a6.2. 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. 327 $a8.5.2. 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. 606 $aInternet of things$xManagement 606 $aComputer networks$xManagement 606 $aCloud computing$xManagement 615 0$aInternet of things$xManagement. 615 0$aComputer networks$xManagement. 615 0$aCloud computing$xManagement. 676 $a004.6 702 $aMbarek$b Nader 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910830685603321 996 $aService level management in emerging environments$93929168 997 $aUNINA LEADER 03931nam 2200781 a 450 001 9910969541003321 005 20251117064426.0 010 $a0-7735-2480-0 010 $a0-7735-8338-6 010 $a1-317-48967-5 010 $a1-317-48968-3 010 $a1-315-71068-4 010 $a1-282-92135-5 010 $a9786612921353 010 $a1-84465-334-X 024 7 $a10.4324/9781315710686 035 $a(CKB)2670000000060718 035 $a(EBL)1900150 035 $a(SSID)ssj0000439731 035 $a(PQKBManifestationID)12165938 035 $a(PQKBTitleCode)TC0000439731 035 $a(PQKBWorkID)10464358 035 $a(PQKB)11226761 035 $a(MiAaPQ)EBC1900150 035 $a(Au-PeEL)EBL1900150 035 $a(CaPaEBR)ebr10455597 035 $a(CaONFJC)MIL292135 035 $a(OCoLC)898771511 035 $a(OCoLC)958109345 035 $a(OCoLC)1199307077 035 $a(FINmELB)ELB135966 035 $a(UkCbUP)CR9781844653348 035 $a(MiAaPQ)EBC3332251 035 $a(DE-B1597)656279 035 $a(DE-B1597)9780773583382 035 $a(EXLCZ)992670000000060718 100 $a20120717d2003 uy 0 101 0 $aeng 135 $aur||||||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aModality /$fJoseph Melia 210 $aMontreal ;$aIthaca $cMcGill-Queen's University Press$dc2003 210 1$aChesham [England] :$cAcumen,$d2003. 215 $a1 online resource (viii, 190 pages) $cdigital, PDF file(s) 225 1 $aCentral problems of philosophy 300 $aTitle from publisher's bibliographic system (viewed on 02 Oct 2015). 311 08$a1-902683-47-1 311 08$a1-902683-48-X 320 $aIncludes bibliographical references and index. 327 $aCover; 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 330 $aMore and more philosophers are using modal notions to solve problems and to analyse concepts. In this introduction to the topic of modality Joseph Melia places his emphasis on a commitment to possible worlds as the best way to understand the nature of necessity. Melia demonstrates how different theories about possible worlds not only influence our more general modal beliefs but illustrate and illuminate various methodological considerations, such as the degree to which any philosophical theory ought to respect common sense. The book begins by introducing readers to various notions of possibility, the de re/de dicto distinction and the ubiquity of our modal concepts. It then presents an accessible introduction to modal logic and possible worlds semantics. Melia argues that by accepting possible worlds into our metaphysics, we can justify such formal semantics, refute Quine's modal scepticism, and make sense of our ordinary thought and talk about the modal. Various theories of possible worlds are critically examined, including David Lewis's extreme realism, Alvin Plantinga's moderate realism, David Armstrong's combinatorialism and the linguistic theory. The book is accessible and engaging throughout and will be welcomed by students looking for a non-technical introduction to a much discussed and contested area of philosophical inquiry. 410 0$aCentral problems of philosophy (Montreal, Quebec) 606 $aModality (Logic) 606 $aModality (Theory of knowledge) 615 0$aModality (Logic) 615 0$aModality (Theory of knowledge) 676 $a160 676 $a160 700 $aMelia$b Joseph$01876117 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910969541003321 996 $aModality$94487530 997 $aUNINA