%0 Conference Proceedings
%T Workflow Coordinated Resources Allocation for Big Data Analytics in the Cloud
%+ University of Patras
%A Sfika, Niki
%A Manos, Konstantinos
%A Korfiati, Aigli
%A Alexakos, Christos
%A Likothanassis, Spiridon
%Z Part 7: New Methods and Tools for Big Data
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015)
%C Bayonne, France
%Y Richard Chbeir
%Y Yannis Manolopoulos
%Y Ilias Maglogiannis
%Y Reda Alhajj
%3 Artificial Intelligence Applications and Innovations
%V AICT-458
%P 397-410
%8 2015-09-14
%D 2015
%R 10.1007/978-3-319-23868-5_28
%K Cloud computing
%K workflows
%K resources allocation
%K big data analytics
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 12
%Z WG 12.5
%2 https://inria.hal.science/hal-01385374/document
%2 https://inria.hal.science/hal-01385374/file/978-3-319-23868-5_28_Chapter.pdf
%L hal-01385374
%U https://inria.hal.science/hal-01385374
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC12
%~ IFIP-AIAI
%~ IFIP-WG12-5
%~ IFIP-AICT-458