ИСТИНА

Modern research in many scientific disciplines, e.g. physics, chemistry, biology have shifted to the computational modelling. The main instrument for such numerical experiments has been supercomputing. However the number of supercomputers and their performance grows magnitude slower than users’ demands. As a result, users may wait for weeks until their job is done. At the same time the computational power of cloud computing grow up significantly and represent today a plenty available resources for numerical experiments for many applications. There are several problems related to cloud and supercomputer integration. First, is how to make a decision where to send a computational task: to a supercomputer or in cloud. Second, various platforms may have significantly different APIs, and it’s often expensive for researchers to switch platforms since it would require large code modification. In this research we present MC2E – an environment for academic multidisciplinary research. MC2E aggregates heterogeneous resources such as private/public clouds, HPC clusters and supercomputers under a unified easy-to-use interface.