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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.
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