Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models
- Standort
-
Deutsche Nationalbibliothek Frankfurt am Main
- ISSN
-
2196-1115
- Umfang
-
Online-Ressource
- Sprache
-
Englisch
- Anmerkungen
-
online resource.
- Erschienen in
-
Runtime prediction of big data jobs: performance comparison of machine learning algorithms and analytical models ; volume:9 ; number:1 ; day:19 ; month:5 ; year:2022 ; pages:1-31 ; date:12.2022
Journal of Big Data ; 9, Heft 1 (19.5.2022), 1-31, 12.2022
- Urheber
-
Ahmed, Nasim
Barczak, Andre L. C.
Rashid, Mohammad A.
Susnjak, Teo
- Beteiligte Personen und Organisationen
-
SpringerLink (Online service)
- DOI
-
10.1186/s40537-022-00623-1
- URN
-
urn:nbn:de:101:1-2022072122180970452511
- Rechteinformation
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Letzte Aktualisierung
-
15.08.2025, 07:26 MESZ
Datenpartner
Dieses Objekt wird bereitgestellt von:
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Deutsche Nationalbibliothek. Bei Fragen zum Objekt wenden Sie sich bitte an den Datenpartner.
Beteiligte
- Ahmed, Nasim
- Barczak, Andre L. C.
- Rashid, Mohammad A.
- Susnjak, Teo
- SpringerLink (Online service)
Ähnliche Objekte (12)
Runtime Analysis of Quality Diversity Algorithms
Estimating runtime of a job in Hadoop MapReduce
A Runtime Analysis of Parallel Evolutionary Algorithms in Dynamic Optimization
On the Expected Runtime and the Success Probability of Evolutionary Algorithms
More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments
Big data algorithms beyond machine learning
Big data algorithms beyond machine learning
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
Algorithms : big data, optimization techniques, cyber security
Evaluating associative classification algorithms for Big Data
Consistency model for runtime objects in the Open Community Runtime
Runtime Analysis of Quality Diversity Algorithms
Estimating runtime of a job in Hadoop MapReduce
A Runtime Analysis of Parallel Evolutionary Algorithms in Dynamic Optimization
On the Expected Runtime and the Success Probability of Evolutionary Algorithms
More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments
Big data algorithms beyond machine learning
Big data algorithms beyond machine learning
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
Algorithms : big data, optimization techniques, cyber security
Evaluating associative classification algorithms for Big Data
Consistency model for runtime objects in the Open Community Runtime
Runtime Analysis of Quality Diversity Algorithms
Estimating runtime of a job in Hadoop MapReduce
A Runtime Analysis of Parallel Evolutionary Algorithms in Dynamic Optimization
On the Expected Runtime and the Success Probability of Evolutionary Algorithms
More Precise Runtime Analyses of Non-elitist Evolutionary Algorithms in Uncertain Environments
Big data algorithms beyond machine learning
Big data algorithms beyond machine learning
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
A gray-box modeling methodology for runtime prediction of Apache Spark jobs
Algorithms : big data, optimization techniques, cyber security
Evaluating associative classification algorithms for Big Data