Abstract : Cloud computing consists of a set of new technologies that permit the dynamic allocation of computational resources (storage, CPU, memory) when performing high demanding data analysis. In the modern world of information data, cloud computing can provide valuable solutions for the Big Data Analytics domain. The correct allocation of resources in a Big Data analysis problem can both increase performance and decrease cost. This article proposes a system architecture for allocating computational resources according to the problem demands in a cloud infrastructure. Workflows are utilized in order to coordinate the execution of complex data analysis pipelines.
Richard Chbeir; Yannis Manolopoulos; Ilias Maglogiannis; Reda Alhajj. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. IFIP Advances in Information and Communication Technology, AICT-458, pp.397-410, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_28〉
https://hal.inria.fr/hal-01385374
Contributeur : Hal Ifip
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Soumis le : vendredi 21 octobre 2016 - 11:44:26
Dernière modification le : mardi 26 décembre 2017 - 16:38:01
Niki Sfika, Konstantinos Manos, Aigli Korfiati, Christos Alexakos, Spiridon Likothanassis. Workflow Coordinated Resources Allocation for Big Data Analytics in the Cloud. Richard Chbeir; Yannis Manolopoulos; Ilias Maglogiannis; Reda Alhajj. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. IFIP Advances in Information and Communication Technology, AICT-458, pp.397-410, 2015, Artificial Intelligence Applications and Innovations. 〈10.1007/978-3-319-23868-5_28〉. 〈hal-01385374〉
