Rachid MD MAMUNUR

CERN, Geneva - Switzerland

PhD student working for LHCb at CERN to elaborate a new dataflow for using non-conventional Computing resources in a Grid computing environment and monitor its behaviour. As present mechanisms are thriving to manage and process huge amounts of data from scientific experiments within a limited time on remote/distributed resources. The proposed work is aimed to increase the computational power of conventional computer systems by using additional so-called opportunistic resources, i.e. computing resources that are not part of a computing centre with batch and data storage systems. The goal is to elaborate a suitable Dataflow Architecture based on existing (to define) tools, apply it to a Grid Environment including Data management and job Scheduling strategy, proves feasibility and efficiency. Along with this I am also considering the site virtualization for remote machine job execution as a research on opportunistic resource search.