Location, Location, Location: Data-Intensive Distributed Computing in the Cloud

Download Now
Provided by: University of SRI BATNA
Topic: Cloud
Format: PDF
When orchestrating highly distributed and data intensive web service workflows the geographical placement of the orchestration engine can greatly affect the overall performance of a workflow. Orchestration engines are typically run from within an organizations' network, and may have to transfer data across long geographical distances, which in turn increases execution time and degrades the overall performance of a workflow. In this paper, the authors present CloudForecast: a web service framework and analysis tool which given a workflow specification, computes the optimal Amazon EC2 cloud region to automatically deploy the orchestration engine and execute the workflow.
Download Now

Find By Topic