Carretero Pérez, JesúsGarcía Blas, Francisco JavierAldinucci, MarcoBesnard, Jean BaptisteAcquaviva, Jean ThomasBrinkmann, AndreVef, Marc AndreJeannot, EmmanuelMiranda, AlbertoNou, RamonRiedel, MorrisTorquati, MassimoWolf, Felix2024-06-072024-06-072023-08-04Jesus Carretero, Javier Garcia-Blas, Marco Aldinucci, Jean Baptiste Besnard, Jean-Thomas Acquaviva, André Brinkmann, Marc-André Vef, Emmanuel Jeannot, Alberto Miranda, Ramon Nou, Morris Riedel, Massimo Torquati, and Felix Wolf. 2023. Adaptive multi-tier intelligent data manager for Exascale. In Proceedings of the 20th ACM International Conference on Computing Frontiers (CF '23). Association for Computing Machinery, New York, NY, USA, 285–290. https://doi.org/10.1145/3587135.3592174979-8-4007-0140-5https://hdl.handle.net/10016/43950The main objective of the ADMIRE project1 is the creation of an active I/O stack that dynamically adjusts computation and storage requirements through intelligent global coordination, the elasticity of computation and I/O, and the scheduling of storage resources along all levels of the storage hierarchy, while offering quality-of-service (QoS), energy efficiency, and resilience for accessing extremely large data sets in very heterogeneous computing and storage environments. We have developed a framework prototype that is able to dynamically adjust computation and storage requirements through intelligent global coordination, separated control, and data paths, the malleability of computation and I/O, the scheduling of storage resources along all levels of the storage hierarchy, and scalable monitoring techniques. The leading idea in ADMIRE is to co-design applications with ad-hoc storage systems that can be deployed with the application and adapt their computing and I/O behaviour on runtime, using malleability techniques, to increase the performance of applications and the throughput of the applications.eng© 2023 Copyright held by the owner/author(shigh-performance i/omalleabilitymonitoringpredictive modelsscheduling algorithmsconference paperInformáticahttps://doi.org/10.1145/3587135.3592174open access285290CC/0000034552