Storage-Aware Algorithms for Scheduling of Workflow Ensembles in Clouds
This paper focuses on data-intensive workflows and addresses the problem of scheduling workflow ensembles under cost and deadline constraints in Infrastructure as a Service (IaaS) clouds.
Read MoreCost Optimization of Execution of Multi-Level Deadline-Constrained Scientific Workflows on Clouds
This paper introduces a cost optimization model for scientific workflows on IaaS clouds such as Amazon EC2 or RackSpace.
Read MoreHosted Science: Managing Computational Workflows in the Cloud
Scientists today are exploring the use of new tools and computing platforms to do their science.
Read MoreIntroducing PRECIP: An API for Managing Repeatable Experiments in the Cloud
Cloud computing with its on-demand access to resources has emerged as a tool used by researchers from a wide range of domains to run computer-based experiments.
Read MoreCost- and Deadline-Constrained Provisioning for Scientific Workflow Ensembles in IaaS Clouds
Large-scale applications expressed as scientific workflows are often grouped into ensembles of inter-related workflows.
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