Publication:
A generic I/O architecture for data-intensiveapplications based on in-memorydistributed cache

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2016-02
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Abstract
The evolution in scientific computing towards data-intensive applications and the increase of heterogeneity in the computing resources, are exposing new challenges in the I/O layer requirements. We propose a generic I/O architecture for data-intensive applications based on in-memory distributed caching. This solution leverages the evolution of network capacities and the price drop in memory to improve I/O performance for I/O-bounded applications adaptable to existing high-performance scenarios. We have showed the potential improvements
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Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016) Timisoara, Romania. February 8-11, 2016.
Keywords
Ultrascale systems, NESUS, Generic I/O architecture, Distributed I/O, Data-intensive applications, Workflow, Cloud computing, In-memory storage
Bibliographic citation
Carretero Pérez, Jesús; et.al. (eds.). (2016). Proceedings of the First PhD Symposium on Sustainable Ultrascale Computing Systems (NESUS PhD 2016). Timisoara, Romania. Universidad Carlos III de Madrid, ARCOS. Pp. 73-76.