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Talk
Title	Persistent Memory based Key-Value Store for Data Acquisition Systems
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Author(s)	Maciejewski, Maciej (speaker) (Intel Corporation)
Corporate author(s)	CERN. Geneva
Imprint	2019-09-25. - 0:30:47.
Series	(other events or meetings) (IXPUG 2019 Annual Conference at CERN)
Lecture note	on 2019-09-25T15:45:00
Subject category	other events or meetings
Abstract	Data acquisition (DAQ) systems are a key component for successful data taking in any experiment. The DAQ is a complex distributed computing system and coordinates all operations, from the data selection stage to long-term storage. With increasing throughput demand, new ways to handle distributed data are being explored. One of the approaches is to use specialized Key-Value store, that would be able to handle data rates bound to network interfaces only (100-400 Gbps), while providing usage flexibility with specialized APIs designed for DAQ. We shall present how combining new storage technologies based on Intel Optane DC Persistent Memory and NVMe drives, with specialized design of Key-Value store can help achieve throughput goals, and provide operational flexibility and safety.
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Submitted by	kristina.ulrika.gunne@cern.ch