Cloud Computing with e-Science Applications

Olivier Terzo editor Lorenzo Mossucca editor

Format:Hardback

Publisher:Taylor & Francis Inc

Published:22nd Jan '15

Currently unavailable, and unfortunately no date known when it will be back

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Cloud Computing with e-Science Applications cover

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. Cloud Computing with e-Science Applications explains how cloud computing can improve data management in data-heavy fields such as bioinformatics, earth science, and computer science.

The book begins with an overview of cloud models supplied by the National Institute of Standards and Technology (NIST), and then:

  • Discusses the challenges imposed by big data on scientific data infrastructures, including security and trust issues
  • Covers vulnerabilities such as data theft or loss, privacy concerns, infected applications, threats in virtualization, and cross-virtual machine attack
  • Describes the implementation of workflows in clouds, proposing an architecture composed of two layers—platform and application
  • Details infrastructure-as-a-service (IaaS), platform-as-a-service (PaaS), and software-as-a-service (SaaS) solutions based on public, private, and hybrid cloud computing models
  • Demonstrates how cloud computing aids in resource control, vertical and horizontal scalability, interoperability, and adaptive scheduling

Featuring significant contributions from research centers, universities, and industries worldwide, Cloud Computing with e-Science Applications presents innovative cloud migration methodologies applicable to a variety of fields where large data sets are produced. The book provides the scientific community with an essential reference for moving applications to the cloud.

"I found the material presented in Chapter 11 (titled SaaS Clouds Supporting Biology and Medicine) to be highly enlightening and informative. The discussion on high performance computing in the context of cloud computing with applications in computational biology and medicine is very educational. There are a number of research problems in biology and medicine that demand access to large and federated data sets. The discussion in this chapter provides a means for understanding the cases and situations in which the cloud can be utilized for such important purposes."
—Hamid R. Arabnia, University of Georgia, Athens, USA

" the book shows many advantages and the power of cloud computing in solving e-science applications, as compared to other types of high performance computing infrastructures. The selection of e-science applications included in the book comprise representative problems from bio-science, health, data processing, workflows arising in bussinesses, etc. … well-written and easy to read not only for specialist but also people with basic knowledge on cloud computing."—Fatos Xhafa, Technical University of Catalonia

ISBN: 9781466591158

Dimensions: unknown

Weight: 589g

320 pages