This book presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. It discusses challenges imposed by big data on scientific data infrastructures, including security and trust issues. It covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack. It details IaaS, PaaS, and SaaS solutions based on public, private, and hybrid models, demonstrating how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling.
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