A scalable infrastructure for CMS data analysis based on OpenStack Cloud and Gluster file system
Salman Zubair TOOR, Lirim Osmani, P. Eerola, Oscar Kraemer, T. Lindén, Sasu Tarkoma, John White · Journal of Physics Conference Series · 2014
The challenge of providing a resilient and scalable computational and data management solution for massive scale research environments requires continuous exploration of new technologies and techniques. In this project the aim has been to design a scalable and resilient infrastructure for CERN HEP data analysis. The infrastructure is based on OpenStack components for structuring a private Cloud with the Gluster File System. We integrate the state-of-the-art Cloud technologies with the traditional Grid middleware infrastructure. Our test results show that the adopted approach provides a scalable and resilient solution for managing resources without compromising on performance and high availability.