Ganga— a job management and optimising tool
Ganga— a job management and optimising tool
复制标题
Ganga——作业管理和优化工具
DOI：
10.1088/1742-6596/119/7/072021
复制
发表时间：
2008
期刊：
影响因子：
--
通讯作者：
A. Maier
中科院分区：
文献类型：
--
作者：
A. Maier
Ganga是作为ATLAS-LHCb公共项目开发的作业管理系统（http：//cern.ch/ganga），它在各种异构环境（从局部集群到全局网格系统）中提供了简单、高效和一致的用户体验。GANGA通过提供作业元数据的自动持久化，帮助最终用户在网格上组织他们的分析活动。用户可以完全访问作业历史，包括其配置和输入/输出。然而，重要的是，用户可以看到一个单一的环境，用于在本地开发和测试算法，并在网格上运行大型数据样本。该工具允许进行一些基本的监测，并且已经确认在HEP和非HEP应用中的用户数量稳步增加，超过300个用户。本文将介绍GANGA的哲学，GANGA的架构和当前和未来的战略。
Ganga, the job-management system (http://cern.ch/ganga), developed as an ATLAS- LHCb common project, offers a simple, efficient and consistent user experience in a variety of heterogeneous environments: from local clusters to global Grid systems. GANGA helps end-users to organise their analysis activities on the Grid by providing automatic persistency of the job's metadata. A user has full access to the job history including their configuration and input/output. It is however important that users can see a single environment for developing and testing algorithms locally and for running on large data samples on the Grid. The tool allows for some basic monitoring and a steadily increasing number of users of more than 300 users have been confirmed, both in HEP, as well as in non-HEP applications. The paper will introduce the GANGA philosophy, the GANGA architecture and current and future strategy.
影响因子：
6.3
作者：
Moscicki, J. T.;Brochu, F.;Williams, M.
通讯作者：
Williams, M.