Cloud computing became a routine tool for scientists in many domains. In order to speed up achievement of scientific results a cloud service for execution of distributed applications was developed. It obviates users from creating and configuring virtual cluster environment manually or using batch scheduler and allows them only to specify input parameters to perform their computations. One of the key parameters that this service aims to help users with is virtual cluster configuration. For most applications it is difficult to tell the optimal number of cluster nodes, amounts of their threads per node and memory so that application would have minimal execution time. In this work an approach to optimization of cluster configuration is proposed and software system for launching HPC application in a cloud is presented.

Original languageEnglish
Title of host publicationProceedings of the VIII International Conference "Distributed Computing and Grid-technologies in Science and Education" (GRID 2018)
Pages233-236
Number of pages4
Volume2267
StatePublished - 1 Dec 2018
Event8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018 - Dubna, Russian Federation
Duration: 10 Sep 201814 Sep 2018

Publication series

NameCEUR Workshop Proceedings
PublisherRWTH Aahen University
ISSN (Print)1613-0073

Conference

Conference8th International Conference "Distributed Computing and Grid-Technologies in Science and Education", GRID 2018
Country/TerritoryRussian Federation
CityDubna
Period10/09/1814/09/18

    Research areas

  • Cloud computing, High performance computing, Software as a service

    Scopus subject areas

  • Computer Science(all)

ID: 36505468