[Oracle] 评测NFS、OCFS与ASM

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Oracle and storage IOs, explanations and experience at CERN
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2010 J. Phys.: Conf. Ser. 219 052004
Home Search Collections Journals About Contact us My IOPscienceOracle and storage IOs, explanations and experience at CERN
Eric Grancher
CERN Geneva 23 CH-1211 Switzerland
Abstract. The Oracle database system is used extensively in the High Energy Physics
community. Critical to the efficient running of these databases is the storage subsystem, and
over the years Oracle has introduced new ways to access and manage this storage, e.g. ASM
(Oracle database version 10.1), Direct NFS (Oracle database version 11.1), and Exadata
(Oracle database version 11.1). This paper presents CERN’s experience over the past few
years with the different storage access and management features, and gives a comparison of
each functionality. Also compared are the different solutions used at CERN, and the Tier 1
sites for storing Oracle databases.
1. Oracle in Accelerator, High Energy Physics and Worldwide LHC Computing Grid
The Oracle [1] database has been used since 1982 at CERN and in other High Energy Physics
laboratories. It has been chosen following an evaluation essentially for its ability to be part of the
accelerator controls systems, see [2] for a scanned version of the original document.
Since then, the Oracle database software has been selected as a key element of the accelerator
controls systems, for the CERN laboratory infrastructure (examples of it are the CERN Engineering
and Equipment Data Management Service [3] and the administrative applications) as well as for the
Large Hadron Collider (LHC) experiments. The LHC experiments have based a significant part of the
online and offline systems on Oracle, as described in [4], making use for part of it of the Streams
functionality ([5]). It has been recently demonstrated in [6] that the Oracle database system can be
used as a storage and analysis foundation for large and intensive accelerators and experiments control
The Worldwide LHC computing grid (WLCG) consists of three main layers or “tiers”, as described
in [7]. The Oracle database system is deployed in ten of the eleven Tier-1 sites.
2. Oracle and the IO subsystem
By nature, a database system is dependent on the Input Output storage system. The Input Output (IO)
storage system is often called “disk subsystem”, with the flash Solid State Drive (SSD) devices
coming increasingly as replacement for the rotating drives, the IO subsystem is a more adequate term.
The Oracle database system makes use of the different types of IO subsystems available, presented
to the host, or hosts in case of clustering. In the past years, the operating system vendors or developers
have added features to their system that have enabled the Oracle database to make better use of the
computing resources and provide faster response time. This is for example the case of Asynchronous
and direct IO features. A description of the major types of IO subsystems as used by the Oracle
database is given is the next section.
17th International Conference on Computing in High Energy and Nuclear Physics (CHEP09) IOP Publishing
Journal of Physics: Conference Series 219 (2010) 052004 doi:10.1088/1742-6596/219/5/052004
c 2010 IOP Publishing Ltd

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