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
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.
This note explains the basics of the
emerging cloud computing paradigm. Topics covered includes: What is Cloud
Computing, Why Cloud Computing, What are its challenges and opportunities, How
does Cloud Computing work and Parallel Processing.