Job splitting on the ALICE grid, introducing the new job optimizer for the ALICE grid middleware

¹ Faculty of Engineering and Science, Western Norway University of Applied Sciences, Bergen, Norway
² CERN, Geneva, Switzerland

^* e-mail: harn@hvl.no

Published online: 6 May 2024

Abstract

This contribution introduces the job optimizer service for the nextgeneration ALICE Grid middleware, JAliEn (Java Alice Environment). It is a continuous service running on central machines and is essentially responsible for splitting jobs into subjobs, to then be distributed and executed on the ALICE grid. There are several ways of creating subjobs based on various strategies relevant to the aim of any particular grid job. Therefore a user has to explicitly declare that a job is to be split, and also define the strategy to be used. The new job optimizer service aims to retain the old ALICE grid middleware functionalities from the user’s point of view while increasing the performance and throughput. One aspect of increasing performance is looking at how the job optimizer interacts with the job queue database. A different way of describing subjobs in the database is presented, to minimize resource usage. There is also a focus on limiting communications with the database, as this is already a congested area. Furthermore, a new solution to splitting based on the locality of job input data will be presented, aiming to split into subjobs more efficiently, therefore making better use of resources on the grid to further increase throughput. Added options for the user regarding splitting by locality, such as setting a minimum limit for a subjob size, will also be explored.