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High Performance Computing in Clouds [[electronic resource] ] : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
High Performance Computing in Clouds [[electronic resource] ] : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
Autore Borin Edson
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (337 pages)
Disciplina 004.6782
Altri autori (Persone) DrummondLúcia Maria A
GaudiotJean-Luc
MeloAlba
Melo AlvesMaicon
NavauxPhilippe Olivier Alexandre
Soggetto topico Cloud Computing
Big data
Machine learning
Big Data
Machine Learning
ISBN 3-031-29769-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter. 1. Why move HPC applications to the Cloud? -- Part. I. Foundations -- Chapter. 2. What is Cloud Computing? -- Chapter. 3. What do HPC applications look like? -- Part. II. Running HPC Applications in Cloud -- Chapter. 4. Deploying and Configuring Infrastructure -- Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers -- Chapter. 6. Designing Cloud-friendly HPC Applications -- Chapter. 7. Exploiting Hardware Accelerators in Clouds -- Part III. Cost and Performance Optimizations -- Chapter. 8. Optimizing Infrastructure for MPI Applications -- Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot -- Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques -- Chapter. 11. Avoiding Resource Wastage -- Part. IV. Application Study Cases -- Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment -- Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud -- Chapter. 14. Cost effective deep learning on the cloud -- Appendix A. Deploying an HPC cluster on AWS -- Appendix B. Configuring a cloud-deployed HPC cluster.
Record Nr. UNISA-996546824003316
Borin Edson  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
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High Performance Computing in Clouds : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
High Performance Computing in Clouds : Moving HPC Applications to a Scalable and Cost-Effective Environment / / edited by Edson Borin, Lúcia Maria A. Drummond, Jean-Luc Gaudiot, Alba Melo, Maicon Melo Alves, Philippe Olivier Alexandre Navaux
Autore Borin Edson
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (337 pages)
Disciplina 004.6782
Altri autori (Persone) DrummondLúcia Maria A
GaudiotJean-Luc
MeloAlba
Melo AlvesMaicon
NavauxPhilippe Olivier Alexandre
Soggetto topico Cloud Computing
Big data
Machine learning
Big Data
Machine Learning
ISBN 3-031-29769-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter. 1. Why move HPC applications to the Cloud? -- Part. I. Foundations -- Chapter. 2. What is Cloud Computing? -- Chapter. 3. What do HPC applications look like? -- Part. II. Running HPC Applications in Cloud -- Chapter. 4. Deploying and Configuring Infrastructure -- Chapter. 5. Executing Traditional HPC Application Code in Cloud with Containerized Job Schedulers -- Chapter. 6. Designing Cloud-friendly HPC Applications -- Chapter. 7. Exploiting Hardware Accelerators in Clouds -- Part III. Cost and Performance Optimizations -- Chapter. 8. Optimizing Infrastructure for MPI Applications -- Chapter. 9. Harnessing Low-Cost Virtual Machines on the Spot -- Chapter. 10. Ensuring Application Continuity with Fault Tolerance Techniques -- Chapter. 11. Avoiding Resource Wastage -- Part. IV. Application Study Cases -- Chapter. 12. Biological Sequence Comparison on Cloud-based GPU Environment -- Chapter. 13. Oil & Gas Reservoir Simulation in the Cloud -- Chapter. 14. Cost effective deep learning on the cloud -- Appendix A. Deploying an HPC cluster on AWS -- Appendix B. Configuring a cloud-deployed HPC cluster.
Record Nr. UNINA-9910734841203321
Borin Edson  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach / / edited by Duc Truong Pham, Natalia Hartono
Intelligent Production and Manufacturing Optimisation—The Bees Algorithm Approach / / edited by Duc Truong Pham, Natalia Hartono
Autore Pham D. T.
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (396 pages)
Disciplina 670
006.3824
Collana Springer Series in Advanced Manufacturing
Soggetto topico Industrial engineering
Automation
Artificial intelligence
Production engineering
Cloud Computing
Robotics
Machine learning
Industrial Automation
Artificial Intelligence
Industrial and Production Engineering
Machine Learning
ISBN 3-031-14537-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1. The Bees Algorithm Introduction -- Part 1: Processes -- Chapter 2. Minimising Printed Circuit Board Assembly Time -- Chapter 3. A Digital Twin for Optimising Wire EDM -- Chapter 4. Case Study with BEE-miner -- Chapter 5. Application to Pulsating Hydroforming -- PART 2: Equipment -- Chapter 6. Shape Recognition for Robot Manipulation -- Chapter 7. Tool Wear Identification and Measurement -- Chapter 8. Point Cloud Registration -- Chapter 9. PID Tuning Toolkit -- Chapter 10. Effect of Harmony Memory Integration -- Chapter 11. Multilevel Image Thresholding -- Chapter 12. Robot Path Planning -- Part 3. Production Pans -- Chapter 13. Production Planning and Scheduling of Flexible Manufacturing Plant -- Chapter 14. Parallel Machine Scheduling Problem -- Chapter 15. Cloud-Edge Collaborative Manufacturing Task Scheduling -- Part 4. Logistics And Supply Chain -- Chapter 16. Bees Traplining Metaphors for Vehicle Routing -- Chapter 17. Supply Chain Design -- Part 5. Remanufacturing -- Chapter 18. Robotic Disassembly Planning -- Chapter 19. Multi-objective Optimisation of Robotic Disassembly Plans -- Chapter 20. Task Optimisation for a Modern Cloud Remanufacturing System -- Chapter 21. Prediction of Engine Remaining Useful Life.
Record Nr. UNINA-9910631077403321
Pham D. T.  
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2 [[electronic resource] /] / edited by Satya Ranjan Dash, Himansu Das, Kuan-Ching Li, Esau Villatoro Tello
Intelligent Technologies: Concepts, Applications, and Future Directions, Volume 2 [[electronic resource] /] / edited by Satya Ranjan Dash, Himansu Das, Kuan-Ching Li, Esau Villatoro Tello
Autore Dash Satya Ranjan
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (260 pages)
Disciplina 004
Altri autori (Persone) DasHimansu
LiKuan-Ching
TelloEsau Villatoro
Collana Studies in Computational Intelligence
Soggetto topico Computational intelligence
Artificial intelligence
Quantitative research
Cloud Computing
Wireless communication systems
Mobile communication systems
Computational Intelligence
Artificial Intelligence
Data Analysis and Big Data
Wireless and Mobile Communication
Soggetto non controllato Mathematics
ISBN 981-9914-82-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Detection of Brain Abnormalities from Spontaneous Electroencephalography using Spiking Neural Network -- QoS the enhanced energy Aware task Scheduling Models in cloud computing -- Clinical decision support system for diagnosis and treatment of COPD using ensemble methods -- Test Scenarios Generation and Optimization of Object-oriented Models using Meta-heuristic Algorithms -- Loss Allocation Techniques in Active Power Distribution Systems.
Record Nr. UNINA-9910728939103321
Dash Satya Ranjan  
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Learning Techniques for the Internet of Things [[electronic resource] /] / edited by Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén
Learning Techniques for the Internet of Things [[electronic resource] /] / edited by Praveen Kumar Donta, Abhishek Hazra, Lauri Lovén
Autore Donta Praveen Kumar
Edizione [1st ed. 2024.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Descrizione fisica 1 online resource (334 pages)
Disciplina 004.6782
Altri autori (Persone) HazraAbhishek
LovénLauri
Soggetto topico Cloud Computing
Internet of things
Artificial intelligence
Internet of Things
Artificial Intelligence
ISBN 3-031-50514-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter. 1. Edge Computing for IoT -- Chapter. 2. Federated Learning Systems: Mathematical modelling and Internet of Things -- Chapter. 3. Federated Learning for Internet of Things -- Chapter. 4. Machine Learning Techniques for Industrial Internet of Things -- Chapter. 5. Exploring IoT Communication Technologies and Data-Driven Solutions -- Chapter. 6. Towards Large-Scale IoT Deployments in Smart Cities: Requirements and Challenges -- Chapter. 7. Digital Twin and IoT for Smart City Monitoring -- Chapter. 8. Multiobjective and Constrained Reinforcement Learning for IoT -- Chapter. 9. Intelligence Inference on IoT Devices -- Chapter. 10. Applications of Deep Learning models in diverse streams of IoT -- Chapter. 11. Quantum Key Distribution in Internet of Things -- Chapter. 12. Quantum Internet of Things for Smart Healthcare -- Chapter. 13. Enhancing Security in Intelligent Transport Systems: A Blockchain-Based Approach for IoT Data Management -- Index.
Record Nr. UNINA-9910838276103321
Donta Praveen Kumar  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2024
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu
Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (123 pages)
Disciplina 006.3
Collana SpringerBriefs in Computer Science
Soggetto topico Cloud Computing
Computer networks
Artificial intelligence
Machine learning
Telecommunication
Computer Communication Networks
Artificial Intelligence
Machine Learning
Communications Engineering, Networks
ISBN 981-19-7395-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: Fundamentals of Machine Learning in Data Center Networks -- Chapter 3: Machine Learning Empowered Intelligent Data Center Networking -- Chapter 4: Insights, Challenges, and Opportunities -- Chapter 5: Conclusion.
Record Nr. UNISA-996547962003316
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu
Machine Learning Empowered Intelligent Data Center Networking : Evolution, Challenges and Opportunities / / by Ting Wang, Bo Li, Mingsong Chen, Shui Yu
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (123 pages)
Disciplina 006.3
Collana SpringerBriefs in Computer Science
Soggetto topico Cloud Computing
Computer networks
Artificial intelligence
Machine learning
Telecommunication
Computer Communication Networks
Artificial Intelligence
Machine Learning
Communications Engineering, Networks
ISBN 981-19-7395-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Chapter 1: Introduction -- Chapter 2: Fundamentals of Machine Learning in Data Center Networks -- Chapter 3: Machine Learning Empowered Intelligent Data Center Networking -- Chapter 4: Insights, Challenges, and Opportunities -- Chapter 5: Conclusion.
Record Nr. UNINA-9910674347903321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Pervasive Ambient Communication for Internet of Things [[electronic resource] /] / by Wei Gong, Yimeng Huang, Jia Zhao, Jiangchuan Liu
Pervasive Ambient Communication for Internet of Things [[electronic resource] /] / by Wei Gong, Yimeng Huang, Jia Zhao, Jiangchuan Liu
Autore Gong Wei
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (279 pages)
Disciplina 004.678
Altri autori (Persone) HuangYimeng
ZhaoJia
LiuJiangchuan
Soggetto topico Computer networks
Cloud Computing
Internet of things
Computer Communication Networks
Internet of Things
ISBN 3-031-38044-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Background -- 1. Vision of Pervasive Backscatter -- 2. Understanding State-of-the-art Ambient Backscatter -- Part II Backscatter Communication with Ambient Excitations -- 3. Spatial Stream Backscatter with MultiplexingWi-Fi -- 4. Single-SymbolWi-Fi Backscatter with Uncontrolled Ambient Signals -- 5. Symbol and Sub-symbolWi-Fi Backscatter for 802.11b -- 6. Content-Agnostic Backscatter with ambient OFDM signals -- Part III Towards Backscatter Networks at Scale -- 7. Multi-hopWi-Fi Backscatter -- 8. Multi-hop Backscatter Sensor Mesh -- 9. Multiprotocol BackscatterWith Commodity Radios -- Part IV Innovative Backscatter-Enabled Applications -- 10. Microphone Array Backscatter -- 11. Apollo: Battery-free wearable sweat monitoring system -- Part V Future Directions -- 12. Chapter Heading.
Record Nr. UNISA-996546837603316
Gong Wei  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Pervasive Ambient Communication for Internet of Things [[electronic resource] /] / by Wei Gong, Yimeng Huang, Jia Zhao, Jiangchuan Liu
Pervasive Ambient Communication for Internet of Things [[electronic resource] /] / by Wei Gong, Yimeng Huang, Jia Zhao, Jiangchuan Liu
Autore Gong Wei
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (279 pages)
Disciplina 004.678
Altri autori (Persone) HuangYimeng
ZhaoJia
LiuJiangchuan
Soggetto topico Computer networks
Cloud Computing
Internet of things
Computer Communication Networks
Internet of Things
ISBN 3-031-38044-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Part I Background -- 1. Vision of Pervasive Backscatter -- 2. Understanding State-of-the-art Ambient Backscatter -- Part II Backscatter Communication with Ambient Excitations -- 3. Spatial Stream Backscatter with MultiplexingWi-Fi -- 4. Single-SymbolWi-Fi Backscatter with Uncontrolled Ambient Signals -- 5. Symbol and Sub-symbolWi-Fi Backscatter for 802.11b -- 6. Content-Agnostic Backscatter with ambient OFDM signals -- Part III Towards Backscatter Networks at Scale -- 7. Multi-hopWi-Fi Backscatter -- 8. Multi-hop Backscatter Sensor Mesh -- 9. Multiprotocol BackscatterWith Commodity Radios -- Part IV Innovative Backscatter-Enabled Applications -- 10. Microphone Array Backscatter -- 11. Apollo: Battery-free wearable sweat monitoring system -- Part V Future Directions -- 12. Chapter Heading.
Record Nr. UNINA-9910742495403321
Gong Wei  
Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Proceedings of International Conference on Recent Innovations in Computing [[electronic resource] ] : ICRIC 2022, Volume 2 / / edited by Yashwant Singh, Chaman Verma, Illés Zoltán, Jitender Kumar Chhabra, Pradeep Kumar Singh
Proceedings of International Conference on Recent Innovations in Computing [[electronic resource] ] : ICRIC 2022, Volume 2 / / edited by Yashwant Singh, Chaman Verma, Illés Zoltán, Jitender Kumar Chhabra, Pradeep Kumar Singh
Edizione [1st ed. 2023.]
Pubbl/distr/stampa Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Descrizione fisica 1 online resource (879 pages)
Disciplina 006.3
Collana Lecture Notes in Electrical Engineering
Soggetto topico Computational intelligence
Artificial intelligence
Computer networks—Security measures
Data protection
Cloud Computing
Computational Intelligence
Artificial Intelligence
Mobile and Network Security
Data and Information Security
ISBN 9789819906017
9789819906000
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Three Machine Flow Shop Scheduling Problem with Set up and Machine Specific Halting Times -- Clinical Named Entity Recognition Using U-Net Classification Model -- Neural Machine Translation from English to Marathi Using Various Techniques -- Review of Cardiovascular Disease Prediction Based on Machine Learning Algorithms -- Exploiting Parts of Speech in Bangla to English Machine Translation Evaluation -- Artificial Intelligence and Block Chain Technology in Insurance Business -- Classification & Detection of Acoustic Scene and Event using Deep Neural Network -- Analysis of A Novel Integrated Machine Learning Model for Yield and Weather Prediction: Punjab vs Maharashtra -- Machine Learning Techniques for Result Prediction of One Day International (ODI) Cricket Match -- Recommendation System Using Neural Collaborative Filtering and Deep Learning -- The Importance of Selected LMS Logs Pre-processing Tasks on the Performance Metrics of Classification Models -- Analysis of Deep Pre-trained Models for Computer Vision Applications: Dog Breed Classification -- An Efficient Recognition and Classification System for Paddy Leaf Disease Using Naïve Bayes with Optimization Algorithm -- Development of Decision Making Prediction Model for Loan Eligibility Using Supervised Machine Learning -- Prediction of Osteoporosis using Artificial Intelligence Techniques: A Review.
Record Nr. UNINA-9910725094603321
Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2023
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui