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.
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.
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.