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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
|
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 | ||
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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 | ||
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