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Om Intelligent and Cloud Computing

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22¿23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

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  • Språk:
  • Engelska
  • ISBN:
  • 9789811698750
  • Format:
  • Häftad
  • Sidor:
  • 668
  • Utgiven:
  • 23. april 2023
  • Utgåva:
  • 23001
  • Mått:
  • 155x36x235 mm.
  • Vikt:
  • 996 g.
Leveranstid: 2-4 veckor
Förväntad leverans: 28. januari 2025
Förlängd ångerrätt till 31. januari 2025
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Beskrivning av Intelligent and Cloud Computing

This book features a collection of high-quality research papers presented at the International Conference on Intelligent and Cloud Computing (ICICC 2021), held at Siksha 'O' Anusandhan (Deemed to be University), Bhubaneswar, India, during October 22¿23, 2021. The book includes contributions on system and network design that can support existing and future applications and services. It covers topics such as cloud computing system and network design, optimization for cloud computing, networking, and applications, green cloud system design, cloud storage design and networking, storage security, cloud system models, big data storage, intra-cloud computing, mobile cloud system design, real-time resource reporting and monitoring for cloud management, machine learning, data mining for cloud computing, data-driven methodology and architecture, and networking for machine learning systems.

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