Integrated Problem Solving Environment for HPC and Cloud Computing Platforms

The increasing data resources from multiple sensors challenges the researchers in developing a standard job submission framework that can be readily used over an HPC cluster and cloud environment. Developing a framework will be of great use to small computing labs, where the availability of HPC resources is limited. In addition to this, the issues such as network failure, software dependencies, etc. also hinder the nature and processing duration of the simulations. Resolving any such system-centric factor is out of the scope in many applications. In this regard, this article addresses the need for developing a problem-solving framework that can integrate the available HPC and cloud resources. Furthermore, the impact happens due to the network failure, non-availability of remote HPC clusters and delay in deriving the critical results that can be reduced to a major extent.