TY - GEN

T1 - Exploiting CRIC to streamline the configuration management of GlideinWMS factories for CMS support

AU - Dost, Jeffrey

AU - Mascheroni, Marco

AU - Andreeva, Julia

AU - Anisenkov, Alexey

AU - Box, Dennis

AU - Di Girolamo, Alessandro

AU - Haleem, Saqib

AU - Kizinevic, Edita

AU - Majewski, Krista

AU - Letts, James

AU - Pardavila, Lorena Lobato

AU - Coimbra, Bruno Moreira

AU - Yzquierdo, Antonio Perez-Calero

AU - Mambelli, Marco

AU - Paparrigopoulos, Panos

AU - Zvada, Marian

PY - 2020

Y1 - 2020

N2 - GlideinWMS is a workload management and provisioning system that allows sharing computing resources distributed over independent sites. Based on the requests made by GlideinWMS frontends, a dynamically sized pool of resources is created by GlideinWMS pilot factories via pilot job submission to resource sites' CEs. More than 400 CEs are currently serving more than ten virtual organizations through GlideinWMS, with CMS being the biggest user with 230 CEs. The complex configurations of the parameters defining resource requests, as submitted to those CEs, have been historically managed by manually editing a set of di fferent XML files. New possibilities arise with CMS adopting the CRIC, an information system that collects, aggregates, stores, and exposes, among other things, computing resource data coming from various data providers. The paper will describe the challenges faced when CMS started to use CRIC to automatically generate the GlideinWMS factory configurations. The architecture of the prototype, and the ancillary tools developed to ease this transition, will be discussed. Finally, future plans and milestones will be outlined.

AB - GlideinWMS is a workload management and provisioning system that allows sharing computing resources distributed over independent sites. Based on the requests made by GlideinWMS frontends, a dynamically sized pool of resources is created by GlideinWMS pilot factories via pilot job submission to resource sites' CEs. More than 400 CEs are currently serving more than ten virtual organizations through GlideinWMS, with CMS being the biggest user with 230 CEs. The complex configurations of the parameters defining resource requests, as submitted to those CEs, have been historically managed by manually editing a set of di fferent XML files. New possibilities arise with CMS adopting the CRIC, an information system that collects, aggregates, stores, and exposes, among other things, computing resource data coming from various data providers. The paper will describe the challenges faced when CMS started to use CRIC to automatically generate the GlideinWMS factory configurations. The architecture of the prototype, and the ancillary tools developed to ease this transition, will be discussed. Finally, future plans and milestones will be outlined.

U2 - 10.1051/epjconf/202024503023

DO - 10.1051/epjconf/202024503023

M3 - Conference contribution

T3 - EPJ Web of Conferences

BT - 24TH INTERNATIONAL CONFERENCE ON COMPUTING IN HIGH ENERGY AND NUCLEAR PHYSICS (CHEP 2019)

A2 - Doglioni, C

A2 - Kim, D

A2 - Stewart, GA

A2 - Silvestris, L

A2 - Jackson, P

A2 - Kamleh, W

PB - University of Lueneburg, Department of Economics and Social Sciences, Research Institute on Professions

T2 - 24th International Conference on Computing in High Energy and Nuclear Physics (CHEP)

Y2 - 4 November 2019 through 8 November 2019

ER -