The enabling of scientific experiments that are embarrassingly parallel, long running and data-intensive into a cloud-based execution environment is a desirable, though complex undertaking for many researchers. The management of such virtual environments is cumbersome and not necessarily within the core skill set for scientists and engineers. We present here Chiminey, a software platform that enables researchers to (i) run applications on both traditional high-performance computing and cloud-based computing infrastructures, (ii) handle failure during execution, (iii) curate and visualise execution outputs, (iv) share such data with collaborators or the public, and (v) search for publicly available data.
@article{arxiv.1507.01321,
title = {Chiminey: Reliable Computing and Data Management Platform in the Cloud},
author = {Iman I. Yusuf and Ian E. Thomas and Maria Spichkova and Steve Androulakis and Grischa R. Meyer and Daniel W. Drumm and George Opletal and Salvy P. Russo and Ashley M. Buckle and Heinz W. Schmidt},
journal= {arXiv preprint arXiv:1507.01321},
year = {2015}
}