Scaling up ATLAS Event Service to production levels on opportunistic computing platforms

[摘要] Continued growth in public cloud and HPC resources is on track to exceed the dedicated resources available for ATLAS on the WLCG. Examples of such platforms are Amazon AWS EC2 Spot Instances, Edison Cray XC30 supercomputer, backfill at Tier 2 and Tier 3 sites, opportunistic resources at the Open Science Grid (OSG), and ATLAS High Level Trigger farm between the data taking periods. Because of specific aspects of opportunistic resources such as preemptive job scheduling and data I/O, their efficient usage requires workflow innovations provided by the ATLAS Event Service. Thanks to the finer granularity of the Event Service data processing workflow, the opportunistic resources are used more efficiently. We report on our progress in scaling opportunistic resource usage to double-digit levels in ATLAS production.

[发布机构] Duke University, Durham; NC; 27708, United States^1;Brookhaven National Laboratory, Upton; NY; 11973, United States^2;University of Wisconsin, Madison; WI; 53706, United States^3;University of Illinois at Urbana-Champaign, Champaign; IL; 61801, United States^4;Lawrence Berkeley National Laboratory, Berkeley; CA; 94720, United States^5;Argonne National Laboratory, 9700 South Cass Avenue, Argonne; IL; 60439, United States^6;Tomsk State University, Lenina Avenue 36, Tomsk; 634050, Russia^7

[效力级别] 计算机科学 [学科分类] 计算机科学（综合）

[关键词] Event service;High-level triggers;Job scheduling;Open science grid;Opportunistic computing;Production level;Resource usage;Spot instances