2019 IEEE International Congress on Big Data (BigDataCongress) 2019
DOI: 10.1109/bigdatacongress.2019.00017
|View full text |Cite
|
Sign up to set email alerts
|

Efficient Re-Computation of Big Data Analytics Processes in the Presence of Changes: Computational Framework, Reference Architecture, and Applications

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
1
0

Year Published

2021
2021
2021
2021

Publication Types

Select...
1

Relationship

0
1

Authors

Journals

citations
Cited by 1 publication
(1 citation statement)
references
References 17 publications
0
1
0
Order By: Relevance
“…a data-structure that captures the evolution of the workflow when executed. Then, it uses ReComp [33] a meta-process that enables re-computation of processes such as workflows. The intermediate data can be stored in a monosite cloud and the solution is adapted for data-intensive workflows.…”
Section: Distributed Cachingmentioning
confidence: 99%
“…a data-structure that captures the evolution of the workflow when executed. Then, it uses ReComp [33] a meta-process that enables re-computation of processes such as workflows. The intermediate data can be stored in a monosite cloud and the solution is adapted for data-intensive workflows.…”
Section: Distributed Cachingmentioning
confidence: 99%