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gupta punit (curatore); kumar saini dinesh (curatore); rawat pradeep (curatore); zia kashif (curatore) - bio-inspired optimization in fog and edge computing environments

Bio-Inspired Optimization in Fog and Edge Computing Environments Principles, Algorithms, and Systems

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Lingua: Inglese
Pubblicazione: 01/2023
Edizione: 1° edizione

Note Editore

A new era of complexity science is emerging, in which nature- and bio-inspired principles are being applied to provide solutions. At the same time, the complexity of systems is increasing due to such models like the Internet of Things (IoT) and fog computing. Will complexity science, applying the principles of nature, be able to tackle the challenges posed by highly complex networked systems? Bio-Inspired Optimization in Fog and Edge Computing: Principles, Algorithms, and Systems is an attempt to answer this question. It presents innovative, bio-inspired solutions for fog and edge computing and highlights the role of machine learning and informatics. Nature- or biological-inspired techniques are successful tools to understand and analyze a collective behavior. As this book demonstrates, algorithms, and mechanisms of self-organization of complex natural systems have been used to solve optimization problems, particularly in complex systems that are adaptive, ever-evolving, and distributed in nature. The chapters look at ways of enhancingto enhance the performance of fog networks in real-world applications using nature-based optimization techniques. They discuss challenges and provide solutions to the concerns of security, privacy, and power consumption in cloud data center nodes and fog computing networks. The book also examines how: The existing fog and edge architecture is used to provide solutions to future challenges. A geographical information system (GIS) can be used with fog computing to help users in an urban region access prime healthcare. An optimization framework helps in cloud resource management. Fog computing can improve the quality, quantity, long-term viability, and cost-effectiveness in agricultural production. Virtualization can support fog computing, increase resources to be allocated, and be applied to different network layers. The combination of fog computing and IoT or cloud computing can help healthcare workers predict and analyze diseases in patients.


1. Introduction to Optimization in Fog ComputingPunit Gupta and Dinesh Kumar Saini 2. Open Issues and Challenges in Fog and EdgePunit Gupta and Dinesh Kumar Saini 3. Future Challenges of FOG and EDGE Computing ApplicationsNarendra Kumar 4. GIS-based Modeling of Healthcare Data and Its Optimization Using Various ApproachesSrabanti Maji, Pradeep Rawat, and Amit Dua 5. Application of Optimization Techniques in Cloud Resource ManagementPradeep Singh Rawat and Punit Gupta 6. Use of Fog Computing in HealthcareIshita Mehta and Arnaav Anand 7. Fog Computing for Agriculture Application and Its IssuesAkruti Sinha, Gaurav, Devika Sapra, and Chhavi Deshlahra 8. Fog Computing and Vehicular Networks for Smart Traffic ControlDeep Kumar 9. Virtualization Concepts and Industry Standards in Cloud ComputingDevesh Kumar Srivastava, Vijay Kumar Sharma, Akhilesh Kumar Sharma, and Prakash Chandra Sharma 10. Optimized Cloud Storage Data Analysis using the Machine Learning ModelDevendra Prasad, Pradeep Rawat, and Neeraj Rathore 11. Resource Management in Fog Computing Environment using Optimal Fog Network TopologyPradeep Singh Rawat, Srabanti Maji and Devendra Prasad 12. Applications of Fog in Healthcare ServicesUjjwal Bhushan, Srabanti Maji, and Pradeep Rawat 13. Roles and Future of IoT based Smart Healthcare ModelsDheeraj Rane, Vaishali Chourey, Sathish Penchala, and Rakesh Jain


Dr. Punit Gupta is currently working as associate professor in the department of computer and communication engineering at Manipal University Jaipur, India. Dr. Dinesh Kumar Saini is a full professor at the School of Computing and Information Technology, Manipal University. Dr. Pradeep Rawat is affiliated with DIT University, India. Dr. Kashif Zia is currently working as an associate professor in the faculty of computing and information technology, Sohar University, Oman.

Altre Informazioni



Condizione: Nuovo
Dimensioni: 9.25 x 6.25 in Ø 1.23 lb
Formato: Copertina rigida
Illustration Notes:97 b/w images and 97 line drawings
Pagine Arabe: 252
Pagine Romane: xvi

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