Fr. 35.10

The Decentralized Cloud - How Blockchains Will Disrupt and Unseat Centralized Computing

English · Paperback / Softback

Shipping usually within 2 to 3 weeks (title will be printed to order)

Description

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For the past decade, tech giants like Amazon, Microsoft and Google have dominated enterprise computing with their centralized cloud platforms. But a revolution is brewing. Emerging blockchain-based networks promise to unseat these incumbents by decentralizing cloud infrastructure.

In this groundbreaking book, author John Smith chronicles the rise of centralized computing, then reveals why decentralized blockchains now pose an existential threat to these IT empires. With advantages around cost, security and innovation, decentralized technologies are primed to capture a sizable share of the $500 billion cloud market.

The book provides an insider's perspective on leading decentralized networks like Internet Computer and Cudos. It exposes the systemic risks and hidden vulnerabilities of today's data center oligarchy. Readers will learn how blockchain architectures can distribute trust, compute power and economic benefits more equitably.

For technology leaders and investors preparing for the next wave of innovation, this book provides an indispensable guide to the coming decentralized future. It explores how hybrid models can help enterprises transition gradually. And it cautions against overconfidence from giants like AWS who face true disruption.

Backed by extensive research and insights from pioneers, "The Decentralized Cloud" offers a brilliant analysis of how blockchain networks are poised to unseat established players across the cloud industry. This prescient work illuminates the next frontier in computing.

Product details

Authors Daniel W. Marshall
Publisher PN Books
 
Languages English
Product format Paperback / Softback
Released 16.11.2023
 
EAN 9789587229479
ISBN 978-958-722-947-9
No. of pages 384
Dimensions 152 mm x 229 mm x 21 mm
Weight 555 g
Subject Natural sciences, medicine, IT, technology > IT, data processing > Data communication, networks

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