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Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS

<!--HTML-->With an exponential growth of data, distributed storage systems have become not only the heart, but also the bottleneck of datacenters. High-latency data access, poor scalability, impracticability to manage large datasets, and lack of query capabilities are just a few examples of co...

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Autor principal: Carrier, John
Lenguaje:eng
Publicado: 2019
Materias:
Acceso en línea:http://cds.cern.ch/record/2691951
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author Carrier, John
author_facet Carrier, John
author_sort Carrier, John
collection CERN
description <!--HTML-->With an exponential growth of data, distributed storage systems have become not only the heart, but also the bottleneck of datacenters. High-latency data access, poor scalability, impracticability to manage large datasets, and lack of query capabilities are just a few examples of common hurdles. With ultra-low latency and fine-grained access to persistent storage, Intel Optane DC Persistent Memory (DCPM) represents a real opportunity to transform the industry and overcome all those limitations. But existing distributed storage software was not built for this new technology, and completely masks the value DCPM could provide. One needs to rethink the software storage stack from the ground up, to throw off irrelevant optimizations designed for disk drives and to embrace fine-grained and low-latency storage access, in order to unlock the potential of these revolutionary technologies for distributed storage. This presentation will introduce the architecture of the Distributed Asynchronous Object Storage (DAOS), which is an open-source software-defined multi-tenant scale-out object store designed from the ground up to take advantage of DCPM and NVMe SSDs.
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spelling cern-26919512022-11-02T22:24:40Zhttp://cds.cern.ch/record/2691951engCarrier, JohnDisrupting High Performance Storage with Intel DC Persistent Memory & DAOSIXPUG 2019 Annual Conference at CERNother events or meetings<!--HTML-->With an exponential growth of data, distributed storage systems have become not only the heart, but also the bottleneck of datacenters. High-latency data access, poor scalability, impracticability to manage large datasets, and lack of query capabilities are just a few examples of common hurdles. With ultra-low latency and fine-grained access to persistent storage, Intel Optane DC Persistent Memory (DCPM) represents a real opportunity to transform the industry and overcome all those limitations. But existing distributed storage software was not built for this new technology, and completely masks the value DCPM could provide. One needs to rethink the software storage stack from the ground up, to throw off irrelevant optimizations designed for disk drives and to embrace fine-grained and low-latency storage access, in order to unlock the potential of these revolutionary technologies for distributed storage. This presentation will introduce the architecture of the Distributed Asynchronous Object Storage (DAOS), which is an open-source software-defined multi-tenant scale-out object store designed from the ground up to take advantage of DCPM and NVMe SSDs.oai:cds.cern.ch:26919512019
spellingShingle other events or meetings
Carrier, John
Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title_full Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title_fullStr Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title_full_unstemmed Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title_short Disrupting High Performance Storage with Intel DC Persistent Memory & DAOS
title_sort disrupting high performance storage with intel dc persistent memory & daos
topic other events or meetings
url http://cds.cern.ch/record/2691951
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