Task Allocation on a Network of Processors
IEEE Transactions on Computers
Heuristics for Scheduling Parameter Sweep Applications in Grid Environments
HCW '00 Proceedings of the 9th Heterogeneous Computing Workshop
Virtual Clusters for Grid Communities
CCGRID '06 Proceedings of the Sixth IEEE International Symposium on Cluster Computing and the Grid
A comparison between two grid scheduling philosophies: EGEE WMS and Grid Way
Multiagent and Grid Systems - Grid Computing, high performance and distributed applications
The cost of doing science on the cloud: the Montage example
Proceedings of the 2008 ACM/IEEE conference on Supercomputing
Elastic management of cluster-based services in the cloud
ACDC '09 Proceedings of the 1st workshop on Automated control for datacenters and clouds
The Eucalyptus Open-Source Cloud-Computing System
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
A High-Performance Computing Forecast: Partly Cloudy
Computing in Science and Engineering
Design of a new cloud computing simulation platform
ICCSA'11 Proceedings of the 2011 international conference on Computational science and its applications - Volume Part III
iCanCloud: A Flexible and Scalable Cloud Infrastructure Simulator
Journal of Grid Computing
Selling T-shirts and Time Shares in the Cloud
CCGRID '12 Proceedings of the 2012 12th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (ccgrid 2012)
Estimating resource costs of data-intensive workloads in public clouds
Proceedings of the 10th International Workshop on Middleware for Grids, Clouds and e-Science
Provisioning data analytic workloads in a cloud
Future Generation Computer Systems
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Until now, several heuristics for scheduling parameter sweep applications in environments such as cluster and grid have been introduced. Cloud computing has revolutionized the way applications are executed in distributed environments, as now it is the infrastructure which is adapted to the application and not vice versa. In the present contribution an astronomy application from the next mission to Planet Mars with Finnish-Russian-Spanish flag is ported on to a cloud environment, resulting in a parameter sweep profile. The number of needed executions and the deadline provided required a big quantity of computing resources in a short term and punctual situations. For this reason, we introduce and validate a model for an optimal execution on a public cloud infrastructure by means of time, cost and a metric involving both.