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Microsoft SQL Server 7.0 database implementation training : corso ufficiale di formazione per progettare e implementare soluzioni aziendali con Microsoft SQL Server 7.0, esercitazioni pratiche per ottenere i migliori risultati nel proprio lavoro, versione di valutazione di SQL Server 7.0 su CD-ROM : IT professional
Microsoft SQL Server 7.0 database implementation training : corso ufficiale di formazione per progettare e implementare soluzioni aziendali con Microsoft SQL Server 7.0, esercitazioni pratiche per ottenere i migliori risultati nel proprio lavoro, versione di valutazione di SQL Server 7.0 su CD-ROM : IT professional
Pubbl/distr/stampa Milano, : Mondadori informatica, 1999
Descrizione fisica XXV, 612 p. ; 24 cm + 2 CD-ROM
Disciplina 005.758
Collana Training kit
Soggetto topico Archivi di dati - Gestione - Sistemi specifici
ISBN 887131932X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAS-VIA0076966
Milano, : Mondadori informatica, 1999
Materiale a stampa
Lo trovi qui: Univ. di Cassino
Opac: Controlla la disponibilità qui
Microsoft SQL server 7.0 system administration training : corso ufficiale di formazione per distribuire, gestire e ottimizzare Microsoft SQL server, esercitazioni pratiche per ottenere i migliori risultati nel proprio lavoro, versione di valutazione di SQL server 7.0 su CD-ROM : IT professional
Microsoft SQL server 7.0 system administration training : corso ufficiale di formazione per distribuire, gestire e ottimizzare Microsoft SQL server, esercitazioni pratiche per ottenere i migliori risultati nel proprio lavoro, versione di valutazione di SQL server 7.0 su CD-ROM : IT professional
Pubbl/distr/stampa \Segrate!, : Mondadori informatica, 1999
Descrizione fisica XXVI, 612 p. ; 25 cm + 2 CD-ROM
Disciplina 005.758
Collana Training kit
Soggetto topico Archivi di dati - Gestione - Sistemi specifici
ISBN 8871319311
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAS-LO10501929
\Segrate!, : Mondadori informatica, 1999
Materiale a stampa
Lo trovi qui: Univ. di Cassino
Opac: Controlla la disponibilità qui
Microsoft Windows 2000 server resource kit : guida operativa : tutti gli strumenti e le informazioni per fare supporto a Windows 2000 server in azienda : la documentazione avanzata creata dal team di sviluppo Microsoft
Microsoft Windows 2000 server resource kit : guida operativa : tutti gli strumenti e le informazioni per fare supporto a Windows 2000 server in azienda : la documentazione avanzata creata dal team di sviluppo Microsoft
Pubbl/distr/stampa \Milano!, : Mondadori Informatica, 2000
Descrizione fisica XXIX, 749 p. ; 24 cm. + 1 CD- ROM.
Disciplina 005.758
Collana IT professional
Soggetto topico Archivi di dati - Gestione - Sistemi specifici
ISBN 8883310845
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAS-BVE0207432
\Milano!, : Mondadori Informatica, 2000
Materiale a stampa
Lo trovi qui: Univ. di Cassino
Opac: Controlla la disponibilità qui
Mobile edge computing / / Anwesha Mukherjee [and three others], editors
Mobile edge computing / / Anwesha Mukherjee [and three others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (598 pages)
Disciplina 005.758
Soggetto topico Edge computing
Mobile communication systems
Artificial intelligence
ISBN 3-030-69893-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Foundations and Architectural Elements -- Introduction to Mobile Edge Computing -- 1 Introduction -- 2 Architecture of MEC -- 2.1 Edge Server Placement -- 2.2 Resource Allocation -- 3 Latency in MEC -- 4 Applications of MEC -- 5 Challenges in MEC -- 6 Summary -- References -- Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications -- 1 Introduction -- 2 Overview of Cloud, Edge and Mobile Environments -- 3 System Architecture -- 4 System Model -- 4.1 Application Model -- 4.2 Task Execution Time Model -- 4.3 Mobile Device Energy Model -- 4.4 Monetary Cost Model -- 4.5 Overview of the Optimisation Technique -- 5 Experiment for Data-Intensive Application Offloading -- 5.1 Evaluation Metrics -- 5.2 Experimental Setup -- 5.2.1 Computing Resources -- 5.2.2 Workload Model -- 5.2.3 Network Model -- 5.3 Performance Evaluation -- 5.3.1 BoT Application Model -- 5.3.2 Workflow Application Model -- 5.3.3 IoT Application Model -- 6 Discussion and Recommendations -- 7 Conclusion and Future Work -- References -- Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions -- 1 Introduction -- 2 Existing Computing Paradigms -- 2.1 Geospatial Cloud Computing -- 2.2 Geospatial Cloudlet -- 2.3 Geospatial Mist Computing -- 2.4 Discussion -- 3 Taxonomy -- 3.1 Geospatial Computing -- 3.1.1 Resource Management -- 3.1.2 Service Management -- 3.2 Geospatial Data -- 3.3 Geospatial Analysis Procedures -- 3.4 Geospatial Applications -- 4 Existing Work on Geospatial Edge-Fog Computing: A Glance -- 5 Limitations in Geospatial Edge-Fog Computing -- 6 Future Directions -- 7 Summary -- References -- Study of Power Efficient 5G Mobile Edge Computing -- 1 Introduction -- 1.1 Properties of MEC -- 1.1.1 On-Premises Isolation -- 1.1.2 Proximity -- 1.1.3 Low-Latency.
1.1.4 Location-Awareness -- 1.1.5 Network Context Information -- 1.2 Challenges of Mobile Edge Computing -- 1.2.1 Reliability and Mobility -- 1.2.2 Resource Allocation -- 1.2.3 Task Offloading -- 1.2.4 Power Efficiency -- 1.2.5 Security and Privacy -- 2 Factors of Power Efficient MEC Framework -- 3 Power Efficient Models for Mobile Edge Computing -- 3.1 Power Efficient Task Offloading Model for Mobile Edge Computing -- 3.1.1 Tasks Model -- 3.1.2 Local Computation Model -- 3.1.3 Edge Computation Model -- 3.2 Power Efficient Resource Allocation Strategy for MEC -- 3.2.1 Multiple-Access Model -- 3.2.2 NOMA-Enabled Model -- 4 Research Directions -- 5 Summary and Conclusions -- References -- SMEC: Sensor Mobile Edge Computing -- 1 Introduction -- 1.1 WSN with MCC -- 1.2 WSN with Mobile Edge Computing (MEC) -- 1.3 Research Motivation -- 2 Related Work -- 2.1 IoT Applications -- 2.2 Cloud Computing Applications -- 2.3 Fog Computing Applications -- 2.4 Mobile Edge Computing Applications -- 3 The Architecture of Sensor Mobile Edge Computing (SMEC) -- 3.1 Advantages of SMEC over SMCC -- 3.1.1 Definition of SMEC -- 3.2 Latency in SMEC -- 4 Application of SMEC -- 4.1 Vehicular Network -- 4.2 Augmented Reality Service -- 4.3 Home Monitoring -- 4.4 Healthcare -- 5 Future Scope -- 5.1 Bio-inspired SMEC -- 5.2 Big Data Analytics in SMEC -- 5.3 Security and Privacy Issues of SMEC -- 5.4 Dew Computing Based Context-Aware Local Computing -- 5.5 Resource Management -- 6 Conclusion -- References -- IoT Integration with MEC -- 1 Introduction -- 2 Chapter Organization -- 3 MEC Functionalities for IoT Services -- 3.1 Real-Time Analysis and Low Latency Functionality -- 3.2 Local Content/Caching Functionality -- 3.3 Computing Functionality -- 3.3.1 Offloading -- 3.3.2 Data Analytics -- 4 MEC API -- 5 Mobility Management -- 6 Benchmark -- 6.1 China Mobile -- 6.2 AT& -- T.
6.3 SKT -- 6.4 Deutsche Telekom -- 6.5 5GPPP -- 7 Challenges and Issues -- 8 Future Research Direction -- 9 Summary -- References -- Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions -- 1 Introduction -- 1.1 MEC Characteristics -- 1.2 Need for Sustainable IoT Application Management in MEC -- 2 Green-Aware Framework for MEC -- 3 Problem Modelling: Green-Aware Offloading -- 3.1 Task Model -- 3.2 Green Energy Provisioning Model -- 3.3 Local Processing Model -- 3.4 Edge Processing Model -- 3.5 Optimal Green-Aware Offloading -- 4 State-of-the-Art Offloading Approaches -- 4.1 GS-MEC -- 4.2 LSDQN -- 4.3 LETOC -- 4.4 GreenEdge -- 4.5 GOLL -- 4.6 SOMEC -- 4.7 Discussions of the Investigated Work -- 5 Future Research Directions -- 6 Summary and Conclusions -- References -- Part II Systems, Platforms and Services -- Prescriptive Maintenance Using Markov Decision Process and GPU-Accelerated Edge Computing -- 1 Introduction -- 2 Related Work -- 2.1 Predictive Maintenance -- 2.2 Prescriptive Maintenance -- 3 System Design and Modelling -- 3.1 POMDP Model -- 3.2 Model Estimation and Decision Algorithm -- 4 Performance Evaluations -- 5 Evaluation Results -- 5.1 Application Performance -- 5.2 System Performance -- 6 Conclusion -- References -- Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions -- 1 Introduction -- 1.1 Research Questions and Challenges -- 2 System Model and Taxonomy -- 3 Multi-controller Management -- 3.1 Bootstrapping -- 3.2 Network Partitioning -- 3.3 Networked Operating System (NOS) -- 4 Middleware and Interoperability -- 4.1 Syntactic -- 4.1.1 Communication Protocols -- 4.1.2 Tunneling and Non-tunneling -- 4.2 Semantic -- 4.2.1 Protocol Translation -- 4.2.2 Protocol Oblivious Forwarding -- 4.2.3 Semantic Ontology -- 5 Network Component Management -- 5.1 Topology Awareness.
5.2 Adaptive Load and Path Management -- 5.3 Network Slicing -- 5.4 Service Function Chaining (SFC) -- 5.5 Unikernel Network Functions -- 6 Traffic Management -- 6.1 Service Level Agreement (SLA)-Aware Traffic Management -- 6.2 Intent-Based Traffic Management -- 6.3 Context-Aware Traffic Management -- 7 Policy Evaluation -- 7.1 Empirical -- 7.2 Emulation -- 7.3 Simulation -- 8 Gap Analysis and Future Directions -- 9 Summary -- References -- Mobility driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review -- 1 Introduction -- 2 Motivations and Related Computing Paradigms -- 3 Taxonomy: Cloud-Fog-Edge System -- 3.1 Infrastructure Protocol -- 3.2 Connectivity -- 3.3 Security Issues -- 3.4 Resource Provisioning -- 4 Taxonomy: Mobility Management -- 5 Taxonomy: Location-Aware Services -- 6 Conclusions and Future Research Directions -- References -- Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges, and FutureDirections -- 1 Introduction -- 2 Existing Mobile Based Resource Provisioning and Allocation Mechanisms in Edge -- 3 Existing Mobile Based Resource Provisioning and Allocation Mechanisms in Fog -- 4 Modelling Techniques to Support Mobility to Enhance the QoS of the Applications -- 5 Mathematical Models for Mobility Based Resource Allocation -- 6 Application Use Cases -- 6.1 Vehicular Networks -- 6.2 Smart Healthcare -- 6.3 Smart Grid -- 6.4 Others -- 7 Future Direction of Mobility-Based Resource Allocation and Provisioning in Fog and Edge related Computing Paradigms -- 7.1 Mobility-Based Resource Allocation and Provisioning -- 7.2 Security and Privacy -- 7.3 Power Utilization and Management -- 7.4 Fault Tolerance -- 7.5 Support For Application Placements Strategies -- 7.6 Support Interoperability -- 7.7 Unified and Dynamic Resource Management and Provisioning.
8 Conclusion -- References -- Cross Border Service Continuity with 5G Mobile Edge -- 1 Introduction -- 2 Background and Related Work -- 2.1 Cloud Computing -- 2.2 Edge Computing -- 2.3 Service Continuity -- 2.4 SC for MEC -- 2.5 Emerging 5G as an Enabling Technology -- 3 Security Management for SC -- 3.1 Underlying Technologies -- 3.1.1 Distributed Ledger Technologies -- 3.1.2 Blockchain -- 4 5G-CARMEN -- 4.1 Architecture -- 4.2 SC in 5G-CARMEN -- 4.3 5G-CARMEN Use Cases -- 4.3.1 Cooperative Maneuvering -- 4.3.2 Situation Awareness -- 4.3.3 Green Driving -- 4.3.4 Video Streaming -- 5 Video Streaming SC Use Case Deployment -- 5.1 Software Deployment -- 5.1.1 Omnet++ Software Architecture -- 5.1.2 NS3 Software Architecture -- 5.2 Security Mechanisms -- 5.3 Proposed Prediction Algorithm Methods for SC -- 5.4 Develop and Setup a Lab Environment -- 5.5 Assessment -- 5.5.1 Omnet++ Simulation Evaluation -- 5.5.2 NS3 Simulation Evaluation -- 5.5.3 Simulator Evaluation Overview -- 6 Future Research Directions -- 7 Conclusions -- References -- Security in Critical Communication for Mobile Edge Computing Based IoE Applications -- 1 Introduction -- 2 Applications and Security -- 3 Architecture for MEC -- 3.1 Network Model -- 4 Possible Attacks and Cryptographic Solution -- 5 Secure Communication Protocol -- 5.1 Architecture -- 5.2 Protocol in Details -- 6 Other Security Protocols: A Comparison -- 7 Issues and Challenges to Design Security Protocols -- 8 Conclusion and Future Direction -- References -- Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability -- 1 Introduction -- 1.1 MEC and Network Slicing -- 1.2 Integration of Blockchain and MEC -- 1.3 Related Works -- 1.4 Chapter Structure -- 2 Blockchain Technology: An Evolving Paradigm -- 2.1 Proof of Work -- 2.2 Proof of Useful Work -- 2.3 Proof of Stake.
2.4 Practical Byzantine Fault Tolerance.
Record Nr. UNISA-996464514703316
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Mobile edge computing / / Anwesha Mukherjee [and three others], editors
Mobile edge computing / / Anwesha Mukherjee [and three others], editors
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (598 pages)
Disciplina 005.758
Soggetto topico Edge computing
Mobile communication systems
Artificial intelligence
ISBN 3-030-69893-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- Part I Foundations and Architectural Elements -- Introduction to Mobile Edge Computing -- 1 Introduction -- 2 Architecture of MEC -- 2.1 Edge Server Placement -- 2.2 Resource Allocation -- 3 Latency in MEC -- 4 Applications of MEC -- 5 Challenges in MEC -- 6 Summary -- References -- Performance Analysis of Mobile, Edge and Cloud Computing Platforms for Distributed Applications -- 1 Introduction -- 2 Overview of Cloud, Edge and Mobile Environments -- 3 System Architecture -- 4 System Model -- 4.1 Application Model -- 4.2 Task Execution Time Model -- 4.3 Mobile Device Energy Model -- 4.4 Monetary Cost Model -- 4.5 Overview of the Optimisation Technique -- 5 Experiment for Data-Intensive Application Offloading -- 5.1 Evaluation Metrics -- 5.2 Experimental Setup -- 5.2.1 Computing Resources -- 5.2.2 Workload Model -- 5.2.3 Network Model -- 5.3 Performance Evaluation -- 5.3.1 BoT Application Model -- 5.3.2 Workflow Application Model -- 5.3.3 IoT Application Model -- 6 Discussion and Recommendations -- 7 Conclusion and Future Work -- References -- Geospatial Edge-Fog Computing: A Systematic Review, Taxonomy, and Future Directions -- 1 Introduction -- 2 Existing Computing Paradigms -- 2.1 Geospatial Cloud Computing -- 2.2 Geospatial Cloudlet -- 2.3 Geospatial Mist Computing -- 2.4 Discussion -- 3 Taxonomy -- 3.1 Geospatial Computing -- 3.1.1 Resource Management -- 3.1.2 Service Management -- 3.2 Geospatial Data -- 3.3 Geospatial Analysis Procedures -- 3.4 Geospatial Applications -- 4 Existing Work on Geospatial Edge-Fog Computing: A Glance -- 5 Limitations in Geospatial Edge-Fog Computing -- 6 Future Directions -- 7 Summary -- References -- Study of Power Efficient 5G Mobile Edge Computing -- 1 Introduction -- 1.1 Properties of MEC -- 1.1.1 On-Premises Isolation -- 1.1.2 Proximity -- 1.1.3 Low-Latency.
1.1.4 Location-Awareness -- 1.1.5 Network Context Information -- 1.2 Challenges of Mobile Edge Computing -- 1.2.1 Reliability and Mobility -- 1.2.2 Resource Allocation -- 1.2.3 Task Offloading -- 1.2.4 Power Efficiency -- 1.2.5 Security and Privacy -- 2 Factors of Power Efficient MEC Framework -- 3 Power Efficient Models for Mobile Edge Computing -- 3.1 Power Efficient Task Offloading Model for Mobile Edge Computing -- 3.1.1 Tasks Model -- 3.1.2 Local Computation Model -- 3.1.3 Edge Computation Model -- 3.2 Power Efficient Resource Allocation Strategy for MEC -- 3.2.1 Multiple-Access Model -- 3.2.2 NOMA-Enabled Model -- 4 Research Directions -- 5 Summary and Conclusions -- References -- SMEC: Sensor Mobile Edge Computing -- 1 Introduction -- 1.1 WSN with MCC -- 1.2 WSN with Mobile Edge Computing (MEC) -- 1.3 Research Motivation -- 2 Related Work -- 2.1 IoT Applications -- 2.2 Cloud Computing Applications -- 2.3 Fog Computing Applications -- 2.4 Mobile Edge Computing Applications -- 3 The Architecture of Sensor Mobile Edge Computing (SMEC) -- 3.1 Advantages of SMEC over SMCC -- 3.1.1 Definition of SMEC -- 3.2 Latency in SMEC -- 4 Application of SMEC -- 4.1 Vehicular Network -- 4.2 Augmented Reality Service -- 4.3 Home Monitoring -- 4.4 Healthcare -- 5 Future Scope -- 5.1 Bio-inspired SMEC -- 5.2 Big Data Analytics in SMEC -- 5.3 Security and Privacy Issues of SMEC -- 5.4 Dew Computing Based Context-Aware Local Computing -- 5.5 Resource Management -- 6 Conclusion -- References -- IoT Integration with MEC -- 1 Introduction -- 2 Chapter Organization -- 3 MEC Functionalities for IoT Services -- 3.1 Real-Time Analysis and Low Latency Functionality -- 3.2 Local Content/Caching Functionality -- 3.3 Computing Functionality -- 3.3.1 Offloading -- 3.3.2 Data Analytics -- 4 MEC API -- 5 Mobility Management -- 6 Benchmark -- 6.1 China Mobile -- 6.2 AT& -- T.
6.3 SKT -- 6.4 Deutsche Telekom -- 6.5 5GPPP -- 7 Challenges and Issues -- 8 Future Research Direction -- 9 Summary -- References -- Green-Aware Mobile Edge Computing for IoT: Challenges, Solutions and Future Directions -- 1 Introduction -- 1.1 MEC Characteristics -- 1.2 Need for Sustainable IoT Application Management in MEC -- 2 Green-Aware Framework for MEC -- 3 Problem Modelling: Green-Aware Offloading -- 3.1 Task Model -- 3.2 Green Energy Provisioning Model -- 3.3 Local Processing Model -- 3.4 Edge Processing Model -- 3.5 Optimal Green-Aware Offloading -- 4 State-of-the-Art Offloading Approaches -- 4.1 GS-MEC -- 4.2 LSDQN -- 4.3 LETOC -- 4.4 GreenEdge -- 4.5 GOLL -- 4.6 SOMEC -- 4.7 Discussions of the Investigated Work -- 5 Future Research Directions -- 6 Summary and Conclusions -- References -- Part II Systems, Platforms and Services -- Prescriptive Maintenance Using Markov Decision Process and GPU-Accelerated Edge Computing -- 1 Introduction -- 2 Related Work -- 2.1 Predictive Maintenance -- 2.2 Prescriptive Maintenance -- 3 System Design and Modelling -- 3.1 POMDP Model -- 3.2 Model Estimation and Decision Algorithm -- 4 Performance Evaluations -- 5 Evaluation Results -- 5.1 Application Performance -- 5.2 System Performance -- 6 Conclusion -- References -- Software-Defined Multi-domain Tactical Networks: Foundations and Future Directions -- 1 Introduction -- 1.1 Research Questions and Challenges -- 2 System Model and Taxonomy -- 3 Multi-controller Management -- 3.1 Bootstrapping -- 3.2 Network Partitioning -- 3.3 Networked Operating System (NOS) -- 4 Middleware and Interoperability -- 4.1 Syntactic -- 4.1.1 Communication Protocols -- 4.1.2 Tunneling and Non-tunneling -- 4.2 Semantic -- 4.2.1 Protocol Translation -- 4.2.2 Protocol Oblivious Forwarding -- 4.2.3 Semantic Ontology -- 5 Network Component Management -- 5.1 Topology Awareness.
5.2 Adaptive Load and Path Management -- 5.3 Network Slicing -- 5.4 Service Function Chaining (SFC) -- 5.5 Unikernel Network Functions -- 6 Traffic Management -- 6.1 Service Level Agreement (SLA)-Aware Traffic Management -- 6.2 Intent-Based Traffic Management -- 6.3 Context-Aware Traffic Management -- 7 Policy Evaluation -- 7.1 Empirical -- 7.2 Emulation -- 7.3 Simulation -- 8 Gap Analysis and Future Directions -- 9 Summary -- References -- Mobility driven Cloud-Fog-Edge Framework for Location-Aware Services: A Comprehensive Review -- 1 Introduction -- 2 Motivations and Related Computing Paradigms -- 3 Taxonomy: Cloud-Fog-Edge System -- 3.1 Infrastructure Protocol -- 3.2 Connectivity -- 3.3 Security Issues -- 3.4 Resource Provisioning -- 4 Taxonomy: Mobility Management -- 5 Taxonomy: Location-Aware Services -- 6 Conclusions and Future Research Directions -- References -- Mobility-Based Resource Allocation and Provisioning in Fog and Edge Computing Paradigms: Review, Challenges, and FutureDirections -- 1 Introduction -- 2 Existing Mobile Based Resource Provisioning and Allocation Mechanisms in Edge -- 3 Existing Mobile Based Resource Provisioning and Allocation Mechanisms in Fog -- 4 Modelling Techniques to Support Mobility to Enhance the QoS of the Applications -- 5 Mathematical Models for Mobility Based Resource Allocation -- 6 Application Use Cases -- 6.1 Vehicular Networks -- 6.2 Smart Healthcare -- 6.3 Smart Grid -- 6.4 Others -- 7 Future Direction of Mobility-Based Resource Allocation and Provisioning in Fog and Edge related Computing Paradigms -- 7.1 Mobility-Based Resource Allocation and Provisioning -- 7.2 Security and Privacy -- 7.3 Power Utilization and Management -- 7.4 Fault Tolerance -- 7.5 Support For Application Placements Strategies -- 7.6 Support Interoperability -- 7.7 Unified and Dynamic Resource Management and Provisioning.
8 Conclusion -- References -- Cross Border Service Continuity with 5G Mobile Edge -- 1 Introduction -- 2 Background and Related Work -- 2.1 Cloud Computing -- 2.2 Edge Computing -- 2.3 Service Continuity -- 2.4 SC for MEC -- 2.5 Emerging 5G as an Enabling Technology -- 3 Security Management for SC -- 3.1 Underlying Technologies -- 3.1.1 Distributed Ledger Technologies -- 3.1.2 Blockchain -- 4 5G-CARMEN -- 4.1 Architecture -- 4.2 SC in 5G-CARMEN -- 4.3 5G-CARMEN Use Cases -- 4.3.1 Cooperative Maneuvering -- 4.3.2 Situation Awareness -- 4.3.3 Green Driving -- 4.3.4 Video Streaming -- 5 Video Streaming SC Use Case Deployment -- 5.1 Software Deployment -- 5.1.1 Omnet++ Software Architecture -- 5.1.2 NS3 Software Architecture -- 5.2 Security Mechanisms -- 5.3 Proposed Prediction Algorithm Methods for SC -- 5.4 Develop and Setup a Lab Environment -- 5.5 Assessment -- 5.5.1 Omnet++ Simulation Evaluation -- 5.5.2 NS3 Simulation Evaluation -- 5.5.3 Simulator Evaluation Overview -- 6 Future Research Directions -- 7 Conclusions -- References -- Security in Critical Communication for Mobile Edge Computing Based IoE Applications -- 1 Introduction -- 2 Applications and Security -- 3 Architecture for MEC -- 3.1 Network Model -- 4 Possible Attacks and Cryptographic Solution -- 5 Secure Communication Protocol -- 5.1 Architecture -- 5.2 Protocol in Details -- 6 Other Security Protocols: A Comparison -- 7 Issues and Challenges to Design Security Protocols -- 8 Conclusion and Future Direction -- References -- Blockchain for Mobile Edge Computing: Consensus Mechanisms and Scalability -- 1 Introduction -- 1.1 MEC and Network Slicing -- 1.2 Integration of Blockchain and MEC -- 1.3 Related Works -- 1.4 Chapter Structure -- 2 Blockchain Technology: An Evolving Paradigm -- 2.1 Proof of Work -- 2.2 Proof of Useful Work -- 2.3 Proof of Stake.
2.4 Practical Byzantine Fault Tolerance.
Record Nr. UNINA-9910510579503321
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multi-access edge computing : software development at the network edge / / Dario Sabella
Multi-access edge computing : software development at the network edge / / Dario Sabella
Autore Sabella Dario
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (416 pages)
Disciplina 005.758
Collana Textbooks in telecommunication engineering
Soggetto topico Edge computing
ISBN 3-030-79618-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910495181203321
Sabella Dario  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Multi-access edge computing : software development at the network edge / / Dario Sabella
Multi-access edge computing : software development at the network edge / / Dario Sabella
Autore Sabella Dario
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2022]
Descrizione fisica 1 online resource (416 pages)
Disciplina 005.758
Collana Textbooks in telecommunication engineering
Soggetto topico Edge computing
ISBN 3-030-79618-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996464435503316
Sabella Dario  
Cham, Switzerland : , : Springer, , [2022]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
MySQL / Paul DuBois
MySQL / Paul DuBois
Autore DuBois, Paul
Pubbl/distr/stampa Milano, : Pearson Education Italia, ©2004
Descrizione fisica IX, 1221 p. ; 24 cm
Disciplina 005.758
Soggetto topico Archivi di dati - Gestione - Sistemi specifici
ISBN 8871921968
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Record Nr. UNICAS-RML0289003
DuBois, Paul  
Milano, : Pearson Education Italia, ©2004
Materiale a stampa
Lo trovi qui: Univ. di Cassino
Opac: Controlla la disponibilità qui
MySQL : guida completa / Mark Maslakowski
MySQL : guida completa / Mark Maslakowski
Autore Maslakowski, Mark
Pubbl/distr/stampa Milano, : Apogeo, 2000!
Descrizione fisica XXI, 42 7 p. : ill. ; 24 cm + 1 CD-ROM
Disciplina 005.758
Collana Guida completa
Soggetto topico Archivi di dati - Gestione - Sistemi specifici
ISBN 8873037291
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione ita
Titolo uniforme
Record Nr. UNICAS-VIA0084307
Maslakowski, Mark  
Milano, : Apogeo, 2000!
Materiale a stampa
Lo trovi qui: Univ. di Cassino
Opac: Controlla la disponibilità qui
On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE [[electronic resource] ] : OTM Confederated International Conferences CoopIS, DOA, and ODBASE 2003 Catania, Sicily, Italy, November 3–7, 2003 Proceedings / / edited by Zahir Tari, Douglas C. Schmidt
On The Move to Meaningful Internet Systems 2003: CoopIS, DOA, and ODBASE [[electronic resource] ] : OTM Confederated International Conferences CoopIS, DOA, and ODBASE 2003 Catania, Sicily, Italy, November 3–7, 2003 Proceedings / / edited by Zahir Tari, Douglas C. Schmidt
Edizione [1st ed. 2003.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Descrizione fisica 1 online resource (XLII, 1546 p. 338 illus.)
Disciplina 005.758
Collana Lecture Notes in Computer Science
Soggetto topico Computer science
Database management
Computer communication systems
Software engineering
Information storage and retrieval
Application software
Popular Computer Science
Database Management
Computer Communication Networks
Software Engineering
Information Storage and Retrieval
Information Systems Applications (incl. Internet)
ISBN 3-540-39964-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Cooperative Information Systems (CoopIS) 2003 International Conference -- Ontologies, Databases, and Applications of Semantics (ODBASE) 2003 International Conference -- Distributed Objects and Applications (DOA) 2003 International Conference.
Record Nr. UNINA-9910144212103321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2003
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui