Simple solutions satisfying grid and cloud computational needs
With the maturation of Grid computing facilities and recent explosion of cloud computing data centers, mid-scale computational science has more options than ever before to satisfy computational needs. But heterogeneity brings complexity.
We propose a simple abstraction for interaction with heterogeneous resource managers spanning grid and cloud computing, and on features that make the tool useful for the mid-scale physical or natural scientist. Key strengths of the abstraction are:
- its support for multiple standard job specification languages
- preservation of direct user interaction with the service
- removing the delay that can come through layers of services
- the predictable behavior under heavy loads