Cloud Computing with e-Science Applications (PDF)
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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.
Lorenzo Mossucca studied computer engineering at the Polytechnic of Turin. Since 2007, Dr. Mossucca has worked as a researcher at the ISMB in IS4AC. His current research interests include studies of distributed databases, distributed infrastructures, and grid and cloud computing. For the past few years, he has focused his research on the migration of scientific applications to the cloud, particularly in bioinformatics and earth sciences. He has published more than 30 papers in conference proceedings, journals, and posters, and as book chapters. He is part of the IEEE Technical Program Committee and is a reviewer for many international conferences.
- 2017, 320 Seiten, Englisch
- Herausgegeben: Olivier Terzo, Lorenzo Mossucca
- Verlag: Taylor & Francis
- ISBN-10: 1466591161
- ISBN-13: 9781466591165
- Erscheinungsdatum: 19.12.2017
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- Dateiformat: PDF
- Größe: 10 MB
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