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Load forecast of resource scheduler in cloud architecture
Huahui LYU
, Ping LI
, Ruihong YAN
, Anum MASOOD
, Bin SHENG
, Yaoying LUO
Department of Mathematics and Information Technology (MIT)
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Dive into the research topics of 'Load forecast of resource scheduler in cloud architecture'. Together they form a unique fingerprint.
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Keyphrases
Cloud Architecture
100%
Economic Effectiveness
33%
Economic Profit
33%
Eucalyptus
33%
High Availability
33%
IT Industry
33%
Load Forecast
100%
Machine Learning Techniques
33%
Machine Settings
33%
Prediction Accuracy
33%
Resource Scheduler
100%
Computer Science
Experimental Result
100%
High Availability
100%
Machine Learning Technique
100%