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ICAC
2005
IEEE

Model-Driven Placement of Compute Tasks and Data in a Networked Utility

12 years 9 days ago
Model-Driven Placement of Compute Tasks and Data in a Networked Utility
An important problem in resource management for networked resource-sharing systems is the simultaneous allocation of multiple resources to an application. Selfoptimizing systems must co-allocate resources in a way that reconciles competing demands and maximizes global system objectives under dynamic conditions. We propose a simple model-driven approach to estimate the performance of a candidate assignment of resources, and select the best candidate to meet local or global goals. In this work, we address the placement of batch compute tasks and data in a network of compute and storage sites. We use the model to select placements for a set of synthetic benchmarks and a functional MRI processing application. Our experiments show that the model predicts the performance of candidate assignments within 10% of the empirical values.
Piyush Shivam, Adriana Iamnitchi, Aydan R. Yumeref
Added 24 Jun 2010
Updated 24 Jun 2010
Type Conference
Year 2005
Where ICAC
Authors Piyush Shivam, Adriana Iamnitchi, Aydan R. Yumerefendi, Jeffrey S. Chase
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