Oct 10 – 14, 2016
San Francisco Marriott Marquis
America/Los_Angeles timezone

GridPP Dirac: Supporting non-LHC VOs on LHC centric resources

Oct 10, 2016, 2:45 PM
GG C2 (San Francisco Mariott Marquis)


San Francisco Mariott Marquis

Oral Track 3: Distributed Computing Track 3: Distributed Computing


Daniela Bauer (Imperial College Sci., Tech. & Med. (GB)) Simon Fayer (Imperial College Sci., Tech. & Med. (GB))


The GridPP project in the UK has a long-standing policy of supporting non-LHC VOs with 10% of the provided resources. Up until recently this had only been taken up be a very limited set of VOs, mainly due to a combination of the (perceived) large overhead of getting started, the limited computing support within non-LHC VOs and the ability to fulfill their computing requirements on local batch farms.
In the past year, increased computing requirements and a general tendency for more centralised
computing resources including cloud technologies has lead a number of small VOs to reevaluate their strategy.
In response to this, the GridPP project commissioned a multi-VO DIRAC server to act as a unified interface to all its grid and cloud resources. This was then offered as a service to a number of small VOs. Six VOs, four of which were completely new to the grid and two transitioning from a glite/WMS based model, have so far taken up the offer and have used the (mainly) UK grid/cloud infrastructure to complete a significant amount of work each in the last 6 months.

In this talk we present the varied approaches taken by each VO, the support issues arising from these and how these can be re-used by other new communities in the future.

Primary Keyword (Mandatory) Distributed workload management
Secondary Keyword (Optional) Experience/plans from outside experimental HEP/NP
Tertiary Keyword (Optional) Computing middleware

Primary authors

Daniela Bauer (Imperial College Sci., Tech. & Med. (GB)) Simon Fayer (Imperial College Sci., Tech. & Med. (GB))

Presentation materials