Name
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. |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1007/978-3-319-23868-5_28 | ARTIFICIAL INTELLIGENCE APPLICATIONS AND INNOVATIONS |
Keywords | Field | DocType |
Cloud computing, workflows, resources allocation, big data analytics | Computer science,Complex data type,Utility computing,Resource allocation,Systems architecture,Analytics,Workflow,Big data,Database,Cloud computing | Conference |
Volume | ISSN | Citations |
458 | 1868-4238 | 0 |
PageRank | References | Authors |
0.34 | 16 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Niki Sfika | 1 | 0 | 0.34 |
| Konstantinos Manos | 2 | 0 | 0.34 |
| Aigli Korfiati | 3 | 18 | 3.28 |
| Christos E. Alexakos | 4 | 17 | 9.87 |
| Spiridon D. Likothanassis | 5 | 145 | 19.27 |