Neural Network-Based Overallocation for Improved Energy-Efficiency in Real-Time Cloud Environments

This paper introduces a dynamic resource provisioning mechanism for over allocating the capacity of Cloud data centers based on customer resource utilization patterns. The proposed mechanism reduces the impact on Real-Time constraints while improvements on the overall energy-efficiency are sought. T...

Ausführliche Beschreibung

Bibliographische Detailangaben

Hauptverfasser:	Moreno, I. S., Jie Xu
Format:	Tagungsbericht
Sprache:	eng
Schlagworte:	Cloud computing Computational modeling customer-awareness Energy efficiency energy-aware provisioning green computing neural network overallocation Real time systems real-time cloud computing Resource management Servers Time factors
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