This PDF covers
the following topics related to Cloud Computing for big data experiments:
Grids and Cloud Computing, Amazon Web Services, Workflow
Platform Ecosystem, Taverna, Galaxy, Tavaxy, Kepler, Pegasus, Cluster
Deployment on Clouds, StarCluster, Elasticluster, CfnCluster, Apache Jclouds,
Mesos, OpenMOLE & GridScale, GridScale AWS Module, Fully Automated
Experiments.
Cloud computing has been coined as
an umbrella term to describe a category of sophisticated on-demand computing
services initially offered by commercial providers, such as Amazon, Google,
and Microsoft. It denotes a model on which a computing infrastructure is
viewed as a “cloud,” from which businesses and individuals access
applications from anywhere in the world on demand .This PDF covers the
following topics related to Cloud Computing : Introduction to Cloud
Computing, Migrating Into a Cloud, Enriching the Integration as a Service
Paradigm for the Cloud Era, the Enterprise Cloud Computing Paradigm,
Monitoring, Management and Applications, Best Practices in Architecting
Cloud Applications in the Aws Cloud, Legal Issues in Cloud Computing.
This book
presents some critical applications in cloud frameworks along with some
innovation design of algorithms and architecture for deployment in cloud
environment. It is a valuable source of knowledge for researchers, engineers,
practitioners, and graduate and doctoral students working in the field of
cloud computing. It will also be useful for faculty members of graduate
schools and universities.