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.
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