Deadline distribution strategies for scientific workflow scheduling in commercial clouds
Vahid Arabnejad, Kris Bubendorfer, Bryan Ng · 2016
Commercial clouds have become a viable platform for performing a significant range of large scale scientific analyses - due to the offerings of elasticity, specialist hardware, software infrastructure and pay-as-you-go cost model. Such clouds represent a low upfront capital cost alternative to the use of dedicated eScience infrastructure. However, there are still significant technical hurdles associated with obtaining the best performance for the cost - it is easy to provision commercial clouds inefficiently resulting in great and potentially unanticipated expense.