Exploiting user metadata for energy-aware node allocation in a cloud storage system

DOI10.1016/J.JCSS.2015.09.003zbMath1346.68039OpenAlexW2178461879WikidataQ122980638 ScholiaQ122980638MaRDI QIDQ896021

John A. Chandy, Cengiz Karakoyunlu

Publication date: 11 December 2015

Published in: Journal of Computer and System Sciences (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.jcss.2015.09.003

zbMATH Keywords

load balancingenergy efficiencycloud storagecloud systemsmetadata aware placement

Mathematics Subject Classification ID

Performance evaluation, queueing, and scheduling in the context of computer systems (68M20) Distributed systems (68M14)

Related Items (1)

A modeling approach for estimating performance and energy consumption of storage systems

Uses Software

• Azure

Cites Work

• Unnamed Item

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