Integration of Cloud resources in the LHCb Distributed Computing

被引:2
|
作者
Garcia, Mario Ubeda [1 ]
Mendez Munoz, Victor [2 ,3 ]
Stagni, Federico [1 ]
Cabarrou, Baptiste [1 ]
Rauschmayr, Nathalie [1 ]
Charpentier, Philippe [1 ]
Closier, Joel [1 ]
机构
[1] European Org Nucl Res CERN, LHCb, Dept Phys, Geneva, Switzerland
[2] Univ Auton Barcelona, PIC, Bellaterra, Spain
[3] IFAE, Bellaterra, Spain
基金
欧盟第七框架计划;
关键词
D O I
10.1088/1742-6596/513/3/032099
中图分类号
O57 [原子核物理学、高能物理学];
学科分类号
070202 ;
摘要
This contribution describes how Cloud resources have been integrated in the LHCb Distributed Computing. LHCb is using its specific Dirac extension (LHCbDirac) as an interware for its Distributed Computing. So far, it was seamlessly integrating Grid resources and Computer clusters. The cloud extension of DIRAC (VMDIRAC) allows the integration of Cloud computing infrastructures. It is able to interact with multiple types of infrastructures in commercial and institutional clouds, supported by multiple interfaces (Amazon EC2, OpenNebula, OpenStack and CloudStack) - instantiates, monitors and manages Virtual Machines running on this aggregation of Cloud resources. Moreover, specifications for institutional Cloud resources proposed by Worldwide LHC Computing Grid (WLCG), mainly by the High Energy Physics Unix Information Exchange (HEPiX) group, have been taken into account. Several initiatives and computing resource providers in the eScience environment have already deployed IaaS in production during 2013. Keeping this on mind, pros and cons of a cloud based infrasctructure have been studied in contrast with the current setup. As a result, this work addresses four different use cases which represent a major improvement on several levels of our infrastructure. We describe the solution implemented by LHCb for the contextualisation of the VMs based on the idea of Cloud Site. We report on operational experience of using in production several institutional Cloud resources that are thus becoming integral part of the LHCb Distributed Computing resources. Furthermore, we describe as well the gradual migration of our Service Infrastructure towards a fully distributed architecture following the Service as a Service (SaaS) model.
引用
收藏
页数:7
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