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Biblioteca

MARC Lista (tabellare)
Cloud Computing Technology [[electronic resource] /] / by Huawei Technologies Co., Ltd
Cloud Computing Technology [[electronic resource] /] / by Huawei Technologies Co., Ltd
Autore Huawei Technologies Co Ltd
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIII, 378 p. 1 illus.)
Disciplina 004.6782
Soggetto topico Cloud Computing
ISBN 981-19-3026-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to Cloud Computing -- Chapter 2. Cloud Computing System -- Chapter 3. Virtualization Technology -- Chapter 4. Network Basics in Cloud Computing -- Chapter 5. Storage Basics in Cloud Computing -- Chapter 6. OpenStack -- Chapter 7. Container Technology -- Chapter 8. Cloud Computing Development Trends.-.
Record Nr. UNINA-9910623997003321
Huawei Technologies Co Ltd  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud Computing Technology [[electronic resource] /] / by Huawei Technologies Co., Ltd
Cloud Computing Technology [[electronic resource] /] / by Huawei Technologies Co., Ltd
Autore Huawei Technologies Co Ltd
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (XIII, 378 p. 1 illus.)
Disciplina 004.6782
Soggetto topico Cloud Computing
ISBN 981-19-3026-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Introduction to Cloud Computing -- Chapter 2. Cloud Computing System -- Chapter 3. Virtualization Technology -- Chapter 4. Network Basics in Cloud Computing -- Chapter 5. Storage Basics in Cloud Computing -- Chapter 6. OpenStack -- Chapter 7. Container Technology -- Chapter 8. Cloud Computing Development Trends.-.
Record Nr. UNISA-996547964403316
Huawei Technologies Co Ltd  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cloud Computing with AWS : Everything You Need to Know to be an AWS Cloud Practitioner / / by Pravin Mishra
Cloud Computing with AWS : Everything You Need to Know to be an AWS Cloud Practitioner / / by Pravin Mishra
Autore Mishra Pravin
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Descrizione fisica 1 online resource (340 pages)
Disciplina 004.6782
Soggetto topico Cloud Computing
Computer networks
Computer Communication Networks
Soggetto non controllato Mathematics
ISBN 9781484291726
9781484291719
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1. Introduction to Cloud Computing -- 2. Getting Started with AWS -- 3. AWS Identity and Access Management -- 4. AWS Storage Services -- 5. Virtual Private Cloud (VPC) -- 6. Elastic Compute Cloud (EC2) -- 7. High-Level Architecture -- 8. Databases -- 9. Advanced AWS Services -- 10. AWS Security and Management Services -- 11. AWS Billing and Pricing.
Record Nr. UNINA-9910725091403321
Mishra Pravin  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cloud-Native Application Architecture [[electronic resource] ] : Microservice Development Best Practice / / by FreeWheel Biz-UI Team
Cloud-Native Application Architecture [[electronic resource] ] : Microservice Development Best Practice / / by FreeWheel Biz-UI Team
Autore Team FreeWheel Biz-UI
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (XXI, 382 p. 1 illus.)
Disciplina 004.6782
Soggetto topico Cloud Computing
Software engineering - Management
Computer programs - Testing
Computer programming
Open source software
Software Management
Software Testing
Programming Techniques
Open Source
ISBN 981-19-9782-9
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. Microservices in the Cloud Native Era -- Chapter 2. Microservice Application Design -- Chapter 3. Service Development and Operation -- Chapter 4. Microservice Traffic Management -- Chapter 5. Distributed Transactions -- Chapter 6. Serverless Architecture -- Chapter 7. Service Observability -- Chapter 8. Quality Assurance Practices -- Chapter 9. Continuous Integration and Continuous Deployment.
Record Nr. UNINA-9910799490103321
Team FreeWheel Biz-UI  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
The Complete ASP.NET Core 3 API Tutorial : Hands-On Building, Testing, and Deploying / / by Les Jackson
The Complete ASP.NET Core 3 API Tutorial : Hands-On Building, Testing, and Deploying / / by Les Jackson
Autore Jackson Les
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Descrizione fisica 1 online resource (476 pages)
Disciplina 005.1068
Soggetto topico Microsoft software
Microsoft .NET Framework
Internet programming
Cloud Computing
Microsoft
Web Development
ISBN 1-4842-6255-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2 : Setting Up Your Development Environment -- Chapter 3: Overview of Our API -- Chapter 4: Scaffold Our API Solution -- Chapter 5: The "C" in MVC -- Chapter 6: Our Model & Repository -- Chapter 7: Persisting Our Data -- Chapter 8: Environment Variables & User Secrets -- Chapter 9: Data Transfer Objects -- Chapter 10: Completing Our API Endpoints -- Chapter 11: Unit Testing Our API -- Chapter 12: The CI/CD Pipeline -- Chapter 13: Deploying to Azure.
Record Nr. UNINA-9910427052303321
Jackson Les  
Berkeley, CA : , : Apress : , : Imprint : Apress, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Content Distribution for Mobile Internet: A Cloud-based Approach [[electronic resource] /] / by Zhenhua Li, Yafei Dai, Guihai Chen, Yunhao Liu
Content Distribution for Mobile Internet: A Cloud-based Approach [[electronic resource] /] / by Zhenhua Li, Yafei Dai, Guihai Chen, Yunhao Liu
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (256 pages)
Disciplina 004
Soggetto topico Computer networks
Mobile computing
Cloud Computing
Computer networks - Security measures
Electronic digital computers - Evaluation
Computer engineering
Computer Communication Networks
Mobile Computing
Mobile and Network Security
System Performance and Evaluation
Computer Engineering and Networks
ISBN 981-19-6982-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Get Started -- 1 Background and Overview -- Part II Bandwidth Is The First Concern -- 2 Fast and Light Bandwidth Testing for Mobile Internet -- 3 Offline Downloading via Cloud and/or Smart APs -- Part III Never Waste on Traffic Usage -- 4 Cross-App Cellular Traffic Optimization -- 5 Boosting Mobile Virtual Network Operator -- Part IV Stay Connected At All Times -- 6 Enhancing Nationwide Cellular Reliability -- 7 Heading Off Fake Base Stations at Scale -- Part V Do Not Relax Our Vigilance -- 8 Combating Nationwide WiFi Security Threats -- 9 Understanding IoT Security with HoneyCloud -- Part VI Last Thoughts -- 10 Concluding Remarks.
Record Nr. UNINA-9910672442503321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Content Distribution for Mobile Internet: A Cloud-based Approach [[electronic resource] /] / by Zhenhua Li, Yafei Dai, Guihai Chen, Yunhao Liu
Content Distribution for Mobile Internet: A Cloud-based Approach [[electronic resource] /] / by Zhenhua Li, Yafei Dai, Guihai Chen, Yunhao Liu
Edizione [2nd ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (256 pages)
Disciplina 004
Soggetto topico Computer networks
Mobile computing
Cloud Computing
Computer networks - Security measures
Electronic digital computers - Evaluation
Computer engineering
Computer Communication Networks
Mobile Computing
Mobile and Network Security
System Performance and Evaluation
Computer Engineering and Networks
ISBN 981-19-6982-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Get Started -- 1 Background and Overview -- Part II Bandwidth Is The First Concern -- 2 Fast and Light Bandwidth Testing for Mobile Internet -- 3 Offline Downloading via Cloud and/or Smart APs -- Part III Never Waste on Traffic Usage -- 4 Cross-App Cellular Traffic Optimization -- 5 Boosting Mobile Virtual Network Operator -- Part IV Stay Connected At All Times -- 6 Enhancing Nationwide Cellular Reliability -- 7 Heading Off Fake Base Stations at Scale -- Part V Do Not Relax Our Vigilance -- 8 Combating Nationwide WiFi Security Threats -- 9 Understanding IoT Security with HoneyCloud -- Part VI Last Thoughts -- 10 Concluding Remarks.
Record Nr. UNISA-996547972003316
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Cooperative and Distributed Intelligent Computation in Fog Computing [[electronic resource] ] : Concepts, Architectures, and Frameworks / / by Hoa Tran-Dang, Dong-Seong Kim
Cooperative and Distributed Intelligent Computation in Fog Computing [[electronic resource] ] : Concepts, Architectures, and Frameworks / / by Hoa Tran-Dang, Dong-Seong Kim
Autore Tran-Dang Hoa
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (211 pages)
Disciplina 411
Soggetto topico Cloud Computing
Mobile computing
Computer Networks
Mobile Computing
ISBN 3-031-33920-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fog Computing: Concepts & Recent Advances -- 1.1 Introduction -- 1.2 Fog Computing Architectures -- 1.2.1 Hierarchical Architecture Model -- 1.2.2 Layered Architecture Model -- 1.3 Computation Offloading in Fog Computing Architectures -- 1.4 Key Technologies for Future Fog Computing Architectures -- 1.4.1 Communication and Networking Technologies -- 1.4.2 Virtualization Technologies -- 1.4.3 Storage Technologies -- 1.4.4 Privacy and Data Security Technologies -- 1.5 Conclusions -- 2 Applications of Fog Computing -- 2.1 Introduction -- 2.2 Typical Applications of Fog Computing -- 2.2.1 Healthcare -- 2.2.2 Smart Cities -- 2.2.3 Smart Grid -- 2.2.4 Industrial Robotics and Automation in Smart Factories -- 2.2.5 Agriculture -- 2.2.6 Logistics and Supply Chains -- 2.3 Summary and Conclusions -- -- 3 Cooperation for Distributed Task Offloading in Fog Computing Networks -- 3.1 Introduction -- 3.2 System Model -- 3.2.1 Fog Computing Networks -- 3.2.2 Computation Tasks -- 3.2.3 Computation Offloading Model -- 3.3 Cooperation-based Task Offloading Models -- 3.4 Open Research Issues -- 3.4.1 Data Fragmentation -- 3.4.2 Distribution of Fog Networks -- 3.4.3 Advances of Distributed Algorithms -- 3.4.4 Comprehensive Performance Analysis -- 3.5 Conclusions -- -- 4 Fog Resource Aware Framework for Adaptive Task Offloading in Fog-based IoT Systems -- 4.1 Introduction -- 4.2 Related Works -- 4.3 System Model and Problem Formulation -- 4.3.1 System Model -- 4.3.2 Problem Formulation 4.4 FRATO: Fog Resource Aware Task Offloading Framework -- 4.4.1 Offloading Strategies for Minimizing Service Provisioning Delay -- 4.4.2 Mathematical Formulation of FRATO -- 4.4.3 Solution Deployment Analysis -- 4.5 Distributed Resource Allocation in Fog -- 4.5.1 Task Priority-based Resource Allocation -- 4.5.2 Maximal Resource Utilization based Allocation -- 4.6 Simulation and Performance Evaluation -- 4.6.1 Simulation Environment Setup -- 4.6.2 Comparative Approaches -- 4.6.3 Evaluation and Analysis -- 4.6.4 Further Analysis of Computation Time and Complexity -- 4.7 Conclusions -- 4.8 Future Works -- 4.8.1 Data Fragmentation -- 4.8.2 Distribution of Fog Networks -- 4.8.3 Advance of Optimization Algorithms -- 4.8.4 Comprehensive Performance Analysis -- -- 5 Dynamic Collaborative Task Offloading in Fog computing Systems -- 5.1 Introduction -- 5.2 Related Works -- 5.3 System Model and Problem Formulation -- 5.3.1 System Model -- 5.3.2 Computation Task Model -- 5.3.3 Problem Formulation -- 5.4 Optimization Problem for Minimization of Task Execution Delay -- 5.5 Simulation and Performance Evaluation -- 5.5.1 Simulation Environment Setup -- 5.5.2 Evaluation and Analysis -- 5.6 Conclusions and Future Works -- 6 Fundamentals of Matching Theory -- 6.1 Introduction -- 6.2 Basic Concepts and Terminologies -- 6.3 Classification -- 6.3.1 One-to-One (OTO) Matching -- 6.3.2 Many-to-One (MTO) Matching -- 6.3.3 Many-to-Many (MTM) Matching -- 6.3.4 Variants of Matching Models -- 6.4 Matching Algorithms -- 6.5 Conclusions -- 7 Matching Theory for Distributed Computation Offloading in Fog Computing Systems -- 7.1 Introduction -- 7.2 System and Offloading Problem Description -- 7.2.1 System Model -- 7.2.2 Computation Tasks -- 7.2.3 Computation Offloading Models -- 7.2.4 Optimization Problems of Computational Offloading -- 7.3 Proposed Matching-based Models for Distributed Computation -- 7.3.1 One-to-One (OTO) Matching -- 7.3.2 Many-to-One (MTO) Matching7 -- 7.3.3 Many-to-Many (MTM) Matching -- 7.4 Challenges and Open Research Issues -- 7.4.1 Matching With Dynamics -- 7.4.2 Matching with Groups -- 7.4.3 Matching with Externality -- 7.4.4 Security and Privacy of Data and End Users -- 7.4.5 New Offloading Application Scenarios -- 7.4.6 Application of AI and ML-Based Techniques -- 7.5 Conclusions -- 8 Distributed Computation Offloading Frameworks for Fog Networks -- 8.1 Introduction -- 8.2 Preliminary and Related Works -- 8.2.1 Preliminary of Many-to-One (M2O) Matching Model -- 8.2.2 Related Works -- 8.3 System Model -- 8.3.1 Fog Computing Networks -- 8.3.2 Computation Offloading Model -- 8.4 Problem Formulation -- 8.5 Description of DISCO Framework -- 8.5.1 Overview -- 8.5.2 PL Construction -- 8.5.3 Matching Algorithms -- 8.5.4 Optimal Task Offloading and Communication Scheduling Algorithm -- 8.5.5 Stability Analysis -- 8.6 Simulations and Performance Evaluation -- 8.6.1 Simulation Environment Setup -- 8.6.2 Evaluation and Analysis -- 8.7 Conclusions -- 9 Reinforcement Learning-based Resource Allocations in Fog Networks -- 9.1 Introduction -- 9.2 Fog Computing Environment -- 9.2.1 System Model -- 9.2.2 Resource Allocation Problems in Fog Computing Systems -- 9.3 Reinforcement Learning -- 9.3.1 Basic Concepts -- 9.3.2 Taxonomy of RL Algorithms -- 9.4 RL based Algorithms for Resource Allocation in FC Systems -- 9.4.1 Resource Sharing and Management -- 9.4.2 Task Scheduling -- 9.4.3 Task Offloading and Redistribution -- 9.5 Challenges and Open Issues of RL-based Resource Allocations -- 9.5.1 RL-related Challenges -- 9.5.2 Fog Computing Environment related Challenges -- 9.5.3 Computation Task related Challenges -- 9.6 Conclusions and Discussions -- -- -- 10 Bandit Learning and Matching based Distributed Task Offloading in Fog Networks -- 10.1 Introduction -- 10.2 Bacground and Related Works -- 10.2.1 One-to-One Matching-based Task Offloading -- 10.2.2 Bandit Learning-based Computation Offloading -- 10.3 System Model -- 10.3.1 Fog Computing networks -- 10.3.2 Computation Offloading Model -- 10.4 Design of BLM-DTO Algorithm -- 10.4.1 OTO Matching Model for Computation Offloading -- 10.4.2 Multi-Player Multi-Armed Bandit with TS -- 10.5 Simulation Results and Evaluation Analysis -- 10.5.1 Simulation Environment Configuration -- 10.5.2 Comparative Evaluation and Analysis -- 10.6 Conclusions and Discussions. .
Record Nr. UNINA-9910734838703321
Tran-Dang Hoa  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Cooperative and Distributed Intelligent Computation in Fog Computing [[electronic resource] ] : Concepts, Architectures, and Frameworks / / by Hoa Tran-Dang, Dong-Seong Kim
Cooperative and Distributed Intelligent Computation in Fog Computing [[electronic resource] ] : Concepts, Architectures, and Frameworks / / by Hoa Tran-Dang, Dong-Seong Kim
Autore Tran-Dang Hoa
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (211 pages)
Disciplina 411
Soggetto topico Cloud Computing
Mobile computing
Computer Networks
Mobile Computing
ISBN 3-031-33920-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Fog Computing: Concepts & Recent Advances -- 1.1 Introduction -- 1.2 Fog Computing Architectures -- 1.2.1 Hierarchical Architecture Model -- 1.2.2 Layered Architecture Model -- 1.3 Computation Offloading in Fog Computing Architectures -- 1.4 Key Technologies for Future Fog Computing Architectures -- 1.4.1 Communication and Networking Technologies -- 1.4.2 Virtualization Technologies -- 1.4.3 Storage Technologies -- 1.4.4 Privacy and Data Security Technologies -- 1.5 Conclusions -- 2 Applications of Fog Computing -- 2.1 Introduction -- 2.2 Typical Applications of Fog Computing -- 2.2.1 Healthcare -- 2.2.2 Smart Cities -- 2.2.3 Smart Grid -- 2.2.4 Industrial Robotics and Automation in Smart Factories -- 2.2.5 Agriculture -- 2.2.6 Logistics and Supply Chains -- 2.3 Summary and Conclusions -- -- 3 Cooperation for Distributed Task Offloading in Fog Computing Networks -- 3.1 Introduction -- 3.2 System Model -- 3.2.1 Fog Computing Networks -- 3.2.2 Computation Tasks -- 3.2.3 Computation Offloading Model -- 3.3 Cooperation-based Task Offloading Models -- 3.4 Open Research Issues -- 3.4.1 Data Fragmentation -- 3.4.2 Distribution of Fog Networks -- 3.4.3 Advances of Distributed Algorithms -- 3.4.4 Comprehensive Performance Analysis -- 3.5 Conclusions -- -- 4 Fog Resource Aware Framework for Adaptive Task Offloading in Fog-based IoT Systems -- 4.1 Introduction -- 4.2 Related Works -- 4.3 System Model and Problem Formulation -- 4.3.1 System Model -- 4.3.2 Problem Formulation 4.4 FRATO: Fog Resource Aware Task Offloading Framework -- 4.4.1 Offloading Strategies for Minimizing Service Provisioning Delay -- 4.4.2 Mathematical Formulation of FRATO -- 4.4.3 Solution Deployment Analysis -- 4.5 Distributed Resource Allocation in Fog -- 4.5.1 Task Priority-based Resource Allocation -- 4.5.2 Maximal Resource Utilization based Allocation -- 4.6 Simulation and Performance Evaluation -- 4.6.1 Simulation Environment Setup -- 4.6.2 Comparative Approaches -- 4.6.3 Evaluation and Analysis -- 4.6.4 Further Analysis of Computation Time and Complexity -- 4.7 Conclusions -- 4.8 Future Works -- 4.8.1 Data Fragmentation -- 4.8.2 Distribution of Fog Networks -- 4.8.3 Advance of Optimization Algorithms -- 4.8.4 Comprehensive Performance Analysis -- -- 5 Dynamic Collaborative Task Offloading in Fog computing Systems -- 5.1 Introduction -- 5.2 Related Works -- 5.3 System Model and Problem Formulation -- 5.3.1 System Model -- 5.3.2 Computation Task Model -- 5.3.3 Problem Formulation -- 5.4 Optimization Problem for Minimization of Task Execution Delay -- 5.5 Simulation and Performance Evaluation -- 5.5.1 Simulation Environment Setup -- 5.5.2 Evaluation and Analysis -- 5.6 Conclusions and Future Works -- 6 Fundamentals of Matching Theory -- 6.1 Introduction -- 6.2 Basic Concepts and Terminologies -- 6.3 Classification -- 6.3.1 One-to-One (OTO) Matching -- 6.3.2 Many-to-One (MTO) Matching -- 6.3.3 Many-to-Many (MTM) Matching -- 6.3.4 Variants of Matching Models -- 6.4 Matching Algorithms -- 6.5 Conclusions -- 7 Matching Theory for Distributed Computation Offloading in Fog Computing Systems -- 7.1 Introduction -- 7.2 System and Offloading Problem Description -- 7.2.1 System Model -- 7.2.2 Computation Tasks -- 7.2.3 Computation Offloading Models -- 7.2.4 Optimization Problems of Computational Offloading -- 7.3 Proposed Matching-based Models for Distributed Computation -- 7.3.1 One-to-One (OTO) Matching -- 7.3.2 Many-to-One (MTO) Matching7 -- 7.3.3 Many-to-Many (MTM) Matching -- 7.4 Challenges and Open Research Issues -- 7.4.1 Matching With Dynamics -- 7.4.2 Matching with Groups -- 7.4.3 Matching with Externality -- 7.4.4 Security and Privacy of Data and End Users -- 7.4.5 New Offloading Application Scenarios -- 7.4.6 Application of AI and ML-Based Techniques -- 7.5 Conclusions -- 8 Distributed Computation Offloading Frameworks for Fog Networks -- 8.1 Introduction -- 8.2 Preliminary and Related Works -- 8.2.1 Preliminary of Many-to-One (M2O) Matching Model -- 8.2.2 Related Works -- 8.3 System Model -- 8.3.1 Fog Computing Networks -- 8.3.2 Computation Offloading Model -- 8.4 Problem Formulation -- 8.5 Description of DISCO Framework -- 8.5.1 Overview -- 8.5.2 PL Construction -- 8.5.3 Matching Algorithms -- 8.5.4 Optimal Task Offloading and Communication Scheduling Algorithm -- 8.5.5 Stability Analysis -- 8.6 Simulations and Performance Evaluation -- 8.6.1 Simulation Environment Setup -- 8.6.2 Evaluation and Analysis -- 8.7 Conclusions -- 9 Reinforcement Learning-based Resource Allocations in Fog Networks -- 9.1 Introduction -- 9.2 Fog Computing Environment -- 9.2.1 System Model -- 9.2.2 Resource Allocation Problems in Fog Computing Systems -- 9.3 Reinforcement Learning -- 9.3.1 Basic Concepts -- 9.3.2 Taxonomy of RL Algorithms -- 9.4 RL based Algorithms for Resource Allocation in FC Systems -- 9.4.1 Resource Sharing and Management -- 9.4.2 Task Scheduling -- 9.4.3 Task Offloading and Redistribution -- 9.5 Challenges and Open Issues of RL-based Resource Allocations -- 9.5.1 RL-related Challenges -- 9.5.2 Fog Computing Environment related Challenges -- 9.5.3 Computation Task related Challenges -- 9.6 Conclusions and Discussions -- -- -- 10 Bandit Learning and Matching based Distributed Task Offloading in Fog Networks -- 10.1 Introduction -- 10.2 Bacground and Related Works -- 10.2.1 One-to-One Matching-based Task Offloading -- 10.2.2 Bandit Learning-based Computation Offloading -- 10.3 System Model -- 10.3.1 Fog Computing networks -- 10.3.2 Computation Offloading Model -- 10.4 Design of BLM-DTO Algorithm -- 10.4.1 OTO Matching Model for Computation Offloading -- 10.4.2 Multi-Player Multi-Armed Bandit with TS -- 10.5 Simulation Results and Evaluation Analysis -- 10.5.1 Simulation Environment Configuration -- 10.5.2 Comparative Evaluation and Analysis -- 10.6 Conclusions and Discussions. .
Record Nr. UNISA-996546822403316
Tran-Dang Hoa  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Deep Learning in Smart eHealth Systems [[electronic resource] ] : Evaluation Leveraging for Parkinson’s Disease / / by Asma Channa, Nirvana Popescu
Deep Learning in Smart eHealth Systems [[electronic resource] ] : Evaluation Leveraging for Parkinson’s Disease / / by Asma Channa, Nirvana Popescu
Autore Channa Asma
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (102 pages)
Disciplina 006.31
Altri autori (Persone) PopescuNirvana
Collana SpringerBriefs in Computer Science
Soggetto topico Machine learning
Medical informatics
Cloud Computing
Computer science
Image processing - Digital techniques
Computer vision
Machine Learning
Health Informatics
Theory and Algorithms for Application Domains
Computer Imaging, Vision, Pattern Recognition and Graphics
ISBN 3-031-45003-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Unraveling Parkinson’s Disease: Diagnostic Challenges and Severity Assessment -- State-of-the-Art: Wearable Devices and Deep Learning Techniques for Parkinson’s Disease -- Design and Engineering of a Medical Wearable Device for Parkinson’s Disease Management -- Deep Learning Models for Parkinson’s Disease Severity Evaluation -- Transforming Parkinson’s Disease Care: Cloud Service Empowered by ServiceNow Technology -- Predicting Wearing-Off Episodes in Parkinson’s with Multimodal Machine Learning -- Enhancing Gait Analysis Through Wearable Insoles and Deep Learning Techniques -- Conclusion and Prospects for Further Development.
Record Nr. UNINA-9910760250603321
Channa Asma  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui