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
covers the following topics: Basic Cloud computing principles, Deployment
Models, Service Models, Economic Considerations, Operational Characteristics,
Service Agreements including Service Level Agreements, Cloud Security, Cloud
Risks and compliance, How to select a Cloud Provider.