Energy efficient job scheduling with workload prediction on cloud data center

Title
Energy efficient job scheduling with workload prediction on cloud data center
Authors
Keywords
Cloud data center, Energy consumption, Job scheduling, Workload prediction, Wavelet neural network
Publisher
Springer Nature
Online
2018-02-27
DOI
10.1007/s10586-018-2154-7

Ask authors/readers for more resources

Reprint

Contact the author

Become a Peeref-certified reviewer

The Peeref Institute provides free reviewer training that teaches the core competencies of the academic peer review process.

Get Started

Ask a Question. Answer a Question.

Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.

Get Started