This book covers the following topics: What is cloud
computing, Introduction to cloud delivery models, Public clouds, Private
clouds, Hybrid clouds, Community clouds,Cloud workflow macro patterns, What is
a storage cloud, Benefits and features of storage cloud, Storage classes
for cloud, Storage cloud delivery models, Public storage cloud, Private
storage cloud, Hybrid storage cloud, What enables a smart storage cloud, Global
collaboration for OpenStack storage components, OpenStack block storage
component, What does IBM offer for storage cloud, What are others doing in the
journey to storage cloud.
Author(s): Larry
Coyne, Shivaramakrishnan Gopalakrishnan and John Sing
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.