Energy-Aware Scheduling of MapReduce Jobs for Big Data Applications

The majority of large-scale data intensive applications executed by data centers are based on MapReduce or its open-source implementation, Hadoop. Such applications are executed on large clusters requiring large amounts of energy, making the energy costs a considerable fraction of the data center�...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on parallel and distributed systems 2015-10, Vol.26 (10), p.2720-2733
Hauptverfasser: Mashayekhy, Lena, Nejad, Mahyar Movahed, Grosu, Daniel, Quan Zhang, Weisong Shi
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!