Descripción del proyecto
Un sistema de memoria avanzado podría hacer realidad la computación a exaescala
El objetivo del proyecto IO-SEA, financiado con fondos europeos, es ofrecer una plataforma de almacenamiento y gestión de datos novedosa para la computación a exaescala basada en almacenes de objetos, gestión jerárquica del almacenamiento y suministro de servicios de almacenamiento bajo demanda. La plataforma hará un uso eficiente de los niveles de almacenamiento, incluida la memoria rápida no volátil y la memoria de acceso aleatorio no volátil, hasta las tecnologías basadas en cinta. El uso de nodos de datos efímeros y accesores de datos debería permitir a los usuarios manejar el sistema de manera flexible mediante varios paradigmas de acceso a datos bien conocidos. Estos recursos efímeros eliminarán el problema de tratar como estáticos los recursos de almacenamiento y los componentes del sistema. Los nuevos métodos de gestión de datos desarrollados podrían emplearse en aplicaciones de uso intensivo de datos en plataformas de exaescala.
Objetivo
IO-SEA aims to provide a novel data management and storage platform for exascale computing based on hierarchical storage management (HSM) and on-demand provisioning of storage services. The platform will efficiently make use of storage tiers spanning NVMe and NVRAM at the top all the way down to tape-based technologies. System requirements are driven by data intensive use-cases, in a very strict co-design approach. The concept of ephemeral data nodes and data accessors is introduced that allow users to flexibly operate the system, using various well-known data access paradigms, such as POSIX namespaces, S3/Swift Interfaces, MPI-IO and other data formats and protocols. These ephemeral resources eliminate the problem of treating storage resources as static and unchanging system components – which is not a tenable proposition for data intensive exascale environments. The methods and techniques are applicable to exascale class data intensive applications and workflows that need to be deployed in highly heterogeneous computing environments.
Critical aspects of intelligent data placement are considered for extreme volumes of data. This ensures that the right resources among the storage tiers are used and accessed by data nodes as close as possible to compute nodes – optimising performance, cost, and energy at extreme scale. Advanced IO instrumentation and monitoring features will be developed to that effect leveraging the latest advancements in AI and machine learning to systematically analyse the telemetry records to make smart decisions on data placement. These ideas coupled with in-storage-computation remove unnecessary data movements within the system.
The IO-SEA project (EuroHPC-2019-1 topic b) has connections to the DEEP-SEA (topic d) and RED-SEA (topic c) project. It leverages technologies developed by the SAGE, SAGE2 and NextGEN-IO projects, and strengthens the TLR of the developed products and technologies.
Ámbito científico
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Régimen de financiación
RIA - Research and Innovation actionCoordinador
75015 PARIS 15
Francia