Autoscaling Hadoop Clusters
Name
Toomas Römer
Abstract
Cloud computing, specifically Infrastructure as a Service model
provides us with the facilities to provision new servers at will and increase
the computing power of a cluster almost in real time. This provisioning
and deprovisioning of servers can happen automatically based on some
performance metrics of the cluster. We introduce a framework of autoscaling clusters in the private and public cloud ecosystem using the Eucalyptus and AWS
software stack and use MapReduce as the service provided by the cluster.
Graduation Thesis language
English
Graduation Thesis type
Master - Computer Science
Supervisor(s)
Satish Narayana Srirama
Defence year
2010