Research from the LARCC in partnership with Abase in the HiPerfCloud project, with the collaboration of researchers from Germany, at the Friedrich-Alexander-Universität Erlangen-Nürnberg (FAU) generated an article accepted at the International Conference on High Performance Computing & Simulation (HPCS), to be held in France between 16 and 20 July 2018. This was the third article in a qualified international conference (A2 and B1) which was accepted this semester. Especially this time we conclude the first successful international collaboration of the LARCC through a fully realized research within SETREM. That is, our research is raising the interest of researchers from outside the country. In addition, in the article we have the collaboration of authors from PUCRS and Unipampa, who are already our partners since the beginning of the LARCC. The article, authors and their abstract are described below.

The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC/KVM
The article “The NAS Benchmark Kernels for Single and Multi-Tenant Cloud Instances with LXC / KVM” is authored by Tech Anderson Mattheus Maliszewski (SETREM), Dr. Dalvan Griebler (PUCRS), Dr. Claudio Schepke (Unipampa), Alexander Ditter (FAU), Dr. Dietmar Fey (FAU) and Dr. Luiz Gustavo Fernandes (PUCRS)

Abstract
Private IaaS clouds are an attractive environment for scientific workloads and applications. It provides advantages such as almost instantaneous availability of high-performance computing in a single node as well as compute clusters, easy access for researchers, and users that do not have access to conventional supercomputers. Furthermore, a cloud infrastructure provides elasticity and scalability to ensure and manage any software dependency on the system with no third-party dependency for researchers. However, one of the biggest challenges is to avoid significant performance degradation when migrating these applications from physical nodes to a cloud environment. Also, we lack more research investigations for multi-tenant cloud instances. In this paper, our goal is to perform a comparative performance evaluation of scientific applications with single and multi-tenancy cloud instances using KVM and LXC virtualization technologies under private cloud conditions. All analyses and evaluations were carried out based on NAS Benchmark kernels to simulate different types of workloads. We applied statistic significance tests to highlight the differences. The results have shown that applications running on LXC-based cloud instances outperform KVM-based cloud instances in 93.75% of the experiments w.r.t single tenant. Regarding multi-tenant, LXC instances outperform KVM instances in 45% of the results, where the performance differences were not as significant as expected.

More details can be seen on the conference website itself: http://hpcs2018.cisedu.info/