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Cluster Computing
Erschienen in: Cluster Computing 4/2020

23.03.2020

ExaRD: introducing a framework for empowerment of resource discovery to support distributed exascale computing systems with high consistency

verfasst von: Elham Adibi, Ehsan Mousavi Khaneghah

Erschienen in: Cluster Computing | Ausgabe 4/2020

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Abstract

In this paper, we introduced the framework to empowerment resource discovery units for supporting distributed exascale computing systems with high consistency. In addition to the execution of activities to find resources by ExaRD, this framework is able to manage and control the dynamic and interactive events in distributed exascale computing systems. For these reasons, the dynamic and interactive nature in distributed exascale computing systems is analyzed, based on which the impacts of the occurrence of the dynamic and interactive nature in computational processes on the functionality of ExaRD are examined. By analyzing the impacts of the dynamic and interactive concept on the functionality of ExaRD, decisions can be made for constituent elements of the ExaRD framework and its functionality. Using a two-dimensional framework of ExaRD to manage and control dynamic and interactive events in distributed exascale computing systems causes ExaRD to be able to be executed in traditional computing systems. This two-dimensional framework is also able to create responding structures outside of the computing system to respond to the necessities of the computational processes. The ExaRD framework redefines the functionalities function and generator space of RD. Our examination in terms of management framework indicated that this framework is able to manage and control dynamic and interactive events by 50 percent.
Vorheriger Artikel Computer vision algorithms acceleration using graphic processors NVIDIA CUDA
Nächster Artikel Multi-level particle swarm optimisation and its parallel version for parameter optimisation of ensemble models: a case of sentiment polarity prediction

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Metadaten
Titel
ExaRD: introducing a framework for empowerment of resource discovery to support distributed exascale computing systems with high consistency
verfasst von
Elham Adibi
Ehsan Mousavi Khaneghah
Publikationsdatum
23.03.2020
Verlag
Springer US
Erschienen in
Cluster Computing / Ausgabe 4/2020
Print ISSN: 1386-7857
Elektronische ISSN: 1573-7543
DOI
https://doi.org/10.1007/s10586-020-03091-5

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