Data management for high energy physics experiments: Preliminary proposals

Conference · Wed Dec 31 23:00:00 EST 1986

OSTI ID:6641106

Olken, F; Loken, S C; Rotem, D; Shoshani, A; Trippe, T G

Currently HEP experimental data are reduced as they become available. We propose instead a ''demand driven'' approach to data analysis. Full analysis will be performed only as needed, in response to user queries which specify the subset of events for which reduced data is needed. To support this approach we propose to partition the datasets on the cross product of several trigger inputs, instead of storing the data in chronological order. Queries will be automatically decomposed into a set of requests against several partitions. Indexing, physically clustering the data on the logical partitions, and caching of partitions will be employed for efficiency.

• Research Organization: Lawrence Berkeley Lab., CA (USA)
• DOE Contract Number: AC03-76SF00098
• OSTI ID: 6641106
• Report Number(s): LBL-22883; CONF-870249-4; ON: DE87006940
• Country of Publication: United States
• Language: English

Related Subjects

645100* -- High Energy Physics-- Particle Interactions & Properties-Experimental
72 PHYSICS OF ELEMENTARY PARTICLES AND FIELDS
99 GENERAL AND MISCELLANEOUS
990220 -- Computers
Computerized Models
& Computer Programs-- (1987-1989)
DATA ANALYSIS
DATA BASE MANAGEMENT
HIGH ENERGY PHYSICS
MANAGEMENT
PHYSICS