Kamil Figiela

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We address the problem of task planning on multiple clouds formulated as a mixed integer nonlinear programming problem (MINLP). Its specification with AMPL modeling language allows us to apply solvers such as Bonmin and Cbc. Our model assumes multiple heterogeneous compute and storage cloud providers, such as Amazon, Rackspace, GoGrid, ElasticHosts and a(More)
This paper presents a cost optimizationmodel for scheduling scientificworkflows on IaaS clouds such asAmazonEC2orRackSpace. We assume multiple IaaS clouds with heterogeneous virtual machine instances, with limited number of instances per cloud and hourly billing. Input and output data are stored on a cloud object store such as Amazon S3. Applications are(More)
HyperFlow is a workflow engine that enables to execute tasks of scientific workflows on the available computing resources (e.g. Virtual Machines in a cloud). PaaSage is a model-based cloud platform to provision resources, deploy the application and automatically scale them according to the application demands. One of the challenges is to design the(More)
Scientific workflows in clouds have been successfully used for automation of large-scale computations, but so far they were applied to the loosely-coupled problems, where most workflow tasks can be processed independently in parallel and do not require high volume of communication. The multi-frontal solver algorithm for finite element meshes can be(More)
Although clouds offer new opportunities for scientists to access compute resources on demand, the existence of a large number of infrastructures with different billing schemes precludes well-established resource allocation policies, known e.g. From grids. Our research aims to provide methods and tools for cost optimization of cloud-based scientific(More)
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