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Critical Database Technologies for High Energy Physics

机译:高能物理关键数据库技术

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A number of large-scale high energy physics experiments loom on the horizon, several of which will generate many petabytes of scientific data annually. A variety of exploratory projects are underway within the physics computing community to investigate approaches to managing this data. There are conflicting views of this massive data problem:rn1. there is far too much data to manage effectively within a genuine database;rn2. there is far too much data to manage effectively without a genuine database;rnand many people hold both views. The purpose of this paper is to begin a dialog between the computational physics and very large database communities on such problems, and to stimulate research in directions that will be of benefit to both groups. This paper will attempt to outline the nature and scope of these massive data problems, survey several of the approaches being explored by the physicsrncommunity, and suggest areas in which high energy physicists hope to look to the database community for assistance.
机译:许多大型高能物理实验即将出现,其中一些实验每年将产生数PB的科学数据。物理计算社区中正在进行各种探索性项目,以研究管理此数据的方法。关于此大量数据问题的观点存在分歧:rn1。真正的数据库中有太多数据无法有效管理; rn2。没有真正的数据库,有太多数据无法有效管理;而且很多人都持有这两种观点。本文的目的是在计算物理学和超大型数据库社区之间就此类问题展开对话,并朝着对双方都有利的方向进行研究。本文将试图概述这些海量数据问题的性质和范围,调查物理学界正在探索的几种方法,并提出高能物理学家希望向数据库界寻求帮助的领域。

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