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Intelligent Computing and Block Chain - First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China,... Intelligent Computing and Block Chain - First BenchCouncil International Federated Conferences, FICC 2020, Qingdao, China, October 30 - November 3, 2020, Revised Selected Papers (Paperback, 1st ed. 2021)
Wanling Gao, Kai Hwang, Changyun Wang, Weiping Li, Zhigang Qiu, …
R2,856 Discovery Miles 28 560 Ships in 10 - 15 working days

This book constitutes the refereed post-conference proceedings of the Second BenchCouncil International Federated Intelligent Computing and Block Chain Conferences, FICC 2020, held in Qingdao, China, in October/ November 2020.The 32 full papers and 6 short papers presented were carefully reviewed and selected from 103 submissions. The papers of this volume are organized in topical sections on AI and medical technology; AI and big data; AI and block chain; AI and education technology; and AI and financial technology.

Distributed and Cloud Computing - From Parallel Processing to the Internet of Things (Paperback): Kai Hwang, Jack Dongarra,... Distributed and Cloud Computing - From Parallel Processing to the Internet of Things (Paperback)
Kai Hwang, Jack Dongarra, Geoffrey C. Fox
R1,772 Discovery Miles 17 720 Ships in 12 - 17 working days

"Distributed and Cloud Computing," named a 2012 Outstanding Academic Title by the American Library Association's "Choice" publication, explains how to create high-performance, scalable, reliable systems, exposing the design principles, architecture, and innovative applications of parallel, distributed, and cloud computing systems.

Starting with an overview of modern distributed models, the book provides comprehensive coverage of distributed and cloud computing, including:

Facilitating management, debugging, migration, and disaster recovery through virtualization

Clustered systems for research or ecommerce applications

Designing systems as web services

Social networking systems using peer-to-peer computing

Principles of cloud computing using examples from open-source and commercial applications

Using examples from open-source and commercial vendors, the text describes cloud-based systems for research, e-commerce, social networking and more.
Complete coverage of modern distributed computing technology including clusters, the grid, service-oriented architecture, massively parallel processors, peer-to-peer networking, and cloud computing Includes case studies from the leading distributed computing vendors: Amazon, Microsoft, Google, and more Explains how to use virtualization to facilitate management, debugging, migration, and disaster recovery Designed for undergraduate or graduate students taking a distributed systems course each chapter includes exercises and further reading, with lecture slides and more available online"

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