Heterogeneous Resource Selection for Arbitrary HPC Applications in the Cloud


Authors: Anca Iordache, Eliya Buyukkaya and Guillaume Pierre.
Source: Proceedings of the 10th International Federated Conference on Distributed Computing Techniques (DAIS 2015), Grenoble, France, June 2015.

Abstract

Cloud infrastructures offer a wide variety of resources to choose from. However, most cloud users ignore the potential benefits of dynamically choosing cloud resources among a wide variety of VM instance types with different configuration/cost tradeoffs. We propose to automate the choice of resources that should be assigned to arbitrary non-interactive applications. During the first executions of the application, the system tries various resource configurations and builds a custom performance model for this application. Thereafter, cloud users can specify their execution time or financial cost constraints, and let the system automatically select the resources which best satisfy this constraint.

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Bibtex Entry

@InProceedings{,
  author = 	 {Anca Iordache and Eliya Buyukkaya and Guillaume Pierre},
  title = 	 {Heterogeneous Resource Selection for
                  Arbitrary {HPC} Applications in the Cloud},
  booktitle = 	 {Proceedings of the 10th International Federated Conference 
                  on Distributed Computing Techniques (DAIS 2015)},
  year = 	 {2015},
  month = 	 jun
}