Speaker
Mr
Levente HAJDU
(BROOKHAVEN NATIONAL LABORATORY)
Description
In the distributed computing world of heterogeneity, sites may have from the bare
minimum Globus package available to a plethora of advanced services. Moreover, sites
may have restrictions and limitations which need to be understood by resource brokers
and planner in order to take the best advantage of resource and computing cycles.
Facing this reality and to take full advantage of any available site as well as local
resources, we will present an approach implemented within the STAR Unified
Meta-Scheduler (SUMS) framework. We will explain how the approach allows for
self-consistency, that is, allows proper decision making at two sites using the same
Meta-Scheduler configuration and software. We will explain how sites declare their
configuration to the SUMS scheduler and how SUMS uses this information combined with
policies to format jobs to tune to the strengths of a particular site.
A specific example on how SandBox, a way by which required software are distributed
to the computing element, will be explained as SUMS uses an abundance and versatile
set of methods for pulling or retrieving files from a site.
Primary authors
Dr
Jerome LAURET
(BROOKHAVEN NATIONAL LABORATORY)
Mr
Levente HAJDU
(BROOKHAVEN NATIONAL LABORATORY)
