A Novel Oppositional Chaotic Flower Pollination Optimization Algorithm for Automatic Tuning of Hadoop Configuration Parameters

At present, due to the introduction of the big data era, numerous numbers of data are generated consistently. Many applications utilize big data platforms, namely Spark, Hadoop, Amazon web services, and so on, since these platforms use several parameters for tuning that further enhance the operating...

Ausführliche Beschreibung

Bibliographische Detailangaben

Veröffentlicht in:	Big data Jg. 8; H. 3; S. 218
Hauptverfasser:	Bellamkonda Sathyanarayanan, Vidhyasagar, Jeevarathinam, Raja Paul Perinbam, Marudhamuthu, Krishnamurthy
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	United States 01.06.2020
Schlagworte:	chaotic mapping Flower Pollination Optimization algorithm big data Hadoop configuration parameters MapReduce
ISSN:	2167-647X, 2167-647X
Online-Zugang:	Weitere Angaben
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!