Skip to Main content Skip to Navigation
Conference papers

Workflow Coordinated Resources Allocation for Big Data Analytics in the Cloud

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.
Document type :
Conference papers
Complete list of metadata

Cited literature [28 references]  Display  Hide  Download
Contributor : Hal Ifip Connect in order to contact the contributor
Submitted on : Friday, October 21, 2016 - 11:44:26 AM
Last modification on : Thursday, March 5, 2020 - 5:41:08 PM


Files produced by the author(s)


Distributed under a Creative Commons Attribution 4.0 International License



Niki Sfika, Konstantinos Manos, Aigli Korfiati, Christos Alexakos, Spiridon Likothanassis. Workflow Coordinated Resources Allocation for Big Data Analytics in the Cloud. 11th IFIP International Conference on Artificial Intelligence Applications and Innovations (AIAI 2015), Sep 2015, Bayonne, France. pp.397-410, ⟨10.1007/978-3-319-23868-5_28⟩. ⟨hal-01385374⟩



Record views


Files downloads