Remodelling Scientific Workflows for Cloud
Name
Jaagup Viil
Abstract
In recent years, cloud computing has raised significant
interest in the scientific community. Running scientific
experiments in the cloud has its advantages like elasticity, scalability
and software maintenance. However, the communication
latencies are observed to be the
major hindrance for migrating scientific computing applications
to the cloud. The problem escalates further when we consider
scientific workflows, where significant data is exchanged across
different tasks.
One way to overcome this problem is to reduce the data communication by partitioning
and scheduling the workflow and adapting a peer-to-peer file
sharing among the nodes. Different size Montage workflows were
considered for the analysis of this problem. From the study it was
observed that the partitioning along with the peer-to-peer file
sharing reduced the data communication in the cloud up to 80%
Graduation Thesis language
English
Graduation Thesis type
Bachelor - Computer Science
Supervisor(s)
Satish Narayana Srirama
Defence year
2014