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The design of a distributed key-value store for petascale hot storage in data acquisition systems

机译:数据采集​​系统中千万亿级热存储的分布式键值存储的设计

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Data acquisition systems for high energy physics experiments readout terabytes of data per second from a large number of electronic components. They are thus inherently distributed systems and require fast online data selection, otherwise requirements for permanent storage would be enormous. Still, incoming data need to be buffered while waiting for this selection to happen. Each minute of an experiment can produce hundreds of terabytes that cannot be lost before a selection decision is made. In this context, we present the design of DAQDB (Data Acquisition Database) — a distributed key-value store for high-bandwidth, generic data storage in event-driven systems. DAQDB offers not only high-capacity and low-latency buffer for fast data selection, but also opens a new approach in high-bandwidth data acquisition by decoupling the lifetime of the data analysis processes from the changing event rate due to the duty cycle of the data source. This is achievable by the option to extend its capacity even up to hundreds of petabytes to store hours of an experiment’s data. Our initial performance evaluation shows that DAQDB is a promising alternative to generic database solutions for the high luminosity upgrades of the LHC at CERN.
机译:用于高能物理实验的数据采集系统每秒从大量电子组件中读出TB级数据。因此,它们是固有的分布式系统,需要快速的在线数据选择,否则对永久存储的需求将是巨大的。尽管如此,在等待此选择发生时,仍需要缓冲传入的数据。实验的每一分钟都会产生数百兆兆字节,在做出选择决定之前不会丢失。在这种情况下,我们提出了DAQDB(数据采集数据库)的设计-分布式键值存储,用于事件驱动系统中的高带宽通用数据存储。 DAQDB不仅提供了用于快速数据选择的高容量和低延迟缓冲区,而且还通过将数据分析过程的生命周期与事件占空比变化所引起的数据速率之间的关系解耦,从而为高带宽数据获取开辟了一种新方法。数据源。可以通过扩展其容量甚至达到数百PB来存储实验数据的小时数来实现。我们的初步性能评估表明,对于CERN的LHC的高亮度升级,DAQDB是通用数据库解决方案的有希望的替代方案。

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