Cloud computing with e-science applications

Cloud computing with e-science applications

by Mossucca, Lorenzo Terzo, Olivier

Type Book
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"The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. This book describes how cloud computing can significantly improve data management in different scientific fields, such as bioinformatics, earth science, and computer science. This book focuses on how cloud computing helps in the areas of resource control, vertical and …

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Title Statements

  • Full title :Cloud computing with e-science applications / edited by Olivier Terzo, ISMB, Turin, Italy, Lorenzo Mossucca, ISMB, Turin, Italy.

Summary

"The amount of data in everyday life has been exploding. This data increase has been especially significant in scientific fields, where substantial amounts of data must be captured, communicated, aggregated, stored, and analyzed. This book describes how cloud computing can significantly improve data management in different scientific fields, such as bioinformatics, earth science, and computer science. This book focuses on how cloud computing helps in the areas of resource control, vertical and horizontal scalability, and adaptive scheduling"--

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Edition Statements

  • Publication Date:2015.

Publication Statements

The Physical Object

  • Description:xx, 300 pages : : illustrations ; : 24 cm

Edition Identifiers

  • ISBN:9781466591158, 1466591153
  • oclc:ocn905222104
  • LC Classification:Q183.9
  • Dewey Decimal:502.85/46782

Table of Contents

Chapter 1. Evaluation criteria to run scientific applications in the cloud -- Chapter 2. Cloud-based infrastructure for data-intensive e-science applications: requirements and architecture -- Chapter 3. Securing cloud data -- Chapter 4. Adaptive execution of scientific workflow applications on clouds -- Chapter 5. Migrating e-science application to the cloud: methodology and evaluation -- Chapter 6. Closing the gap between cloud providers and scientific users -- Chapter 7. Assembling cloud-based geogrpahic information systems: a pragmatic approach using off-the-shelf components -- Chapter 8. Hcloud, a healthcare-oriented cloud system with improved efficiency in biomedical data processing -- Chapter 9. Rpig: concise programming framework by integrating r with pig for big data analytics -- Chapter 10. Auodock gateway for molecular docking simulations in cloud systems -- Chapter 11. Saas clouds supporting biology and medicine -- Chapter 12. Energy-aware policies in ubiquitous computing facilities.

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Subjects

Anwendung Cloud computing COMPUTERS -- Internet Computers and IT Infonuagique Informatik MATHEMATICS -- General Naturwissenschaften Research -- Data processing Science -- Data processing Sciences -- Informatique TECHNOLOGY & ENGINEERING -- Electrical

Writers

Mossucca, Lorenzo Terzo, Olivier

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