IEEE Transactions on Parallel and Distributed Systems
Soft Benchmarks-Based Application Performance Prediction Using a Minimum Training Set
E-SCIENCE '06 Proceedings of the Second IEEE International Conference on e-Science and Grid Computing
ASKALON: A Grid Application Development and Computing Environment
GRID '05 Proceedings of the 6th IEEE/ACM International Workshop on Grid Computing
A Dynamic Critical Path Algorithm for Scheduling Scientific Workflow Applications on Global Grids
E-SCIENCE '07 Proceedings of the Third IEEE International Conference on e-Science and Grid Computing
Dynamic Provision of Computing Resources from Grid Infrastructures and Cloud Providers
GPC '09 Proceedings of the 2009 Workshops at the Grid and Pervasive Computing Conference
Evaluating the cost-benefit of using cloud computing to extend the capacity of clusters
Proceedings of the 18th ACM international symposium on High performance distributed computing
On-Demand Resource Provisioning for BPEL Workflows Using Amazon's Elastic Compute Cloud
CCGRID '09 Proceedings of the 2009 9th IEEE/ACM International Symposium on Cluster Computing and the Grid
VGrADS: enabling e-Science workflows on grids and clouds with fault tolerance
Proceedings of the Conference on High Performance Computing Networking, Storage and Analysis
Elastic Site: Using Clouds to Elastically Extend Site Resources
CCGRID '10 Proceedings of the 2010 10th IEEE/ACM International Conference on Cluster, Cloud and Grid Computing
Reducing Costs of Spot Instances via Checkpointing in the Amazon Elastic Compute Cloud
CLOUD '10 Proceedings of the 2010 IEEE 3rd International Conference on Cloud Computing
Performance Analysis of Cloud Computing Services for Many-Tasks Scientific Computing
IEEE Transactions on Parallel and Distributed Systems
Using a new event-based simulation framework for investigating resource provisioning in Clouds
Scientific Programming - Science-Driven Cloud Computing
Scheduling jobs in the cloud using on-demand and reserved instances
Euro-Par'13 Proceedings of the 19th international conference on Parallel Processing
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We analyze the problem of provisioning Cloud instances to large scientific workflows that do not benefit from sufficient Grid resources as required by their computational requirements. We propose an extension to the dynamic critical path scheduling algorithm to deal with the general resource leasing model encountered in today's commercial Clouds. We analyze the availability of the cheaper and unreliable Spot instances and study their potential to complement the unavailability of Grid resources for large workflow executions. Experimental results demonstrate that Spot instances represent a 60% cheaper but equally reliable alternative to Standard instances provided that a correct user bet is made.