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