Category-Based Workload Modeling for Hardware Load Prediction in a Heterogeneous IaaS Cloud

Henryk Krawczyk, Jerzy Proficz, Tomasz Ziółkowski

Abstract


The paper presents a method of hardware load prediction using workload models based on application categories and high-level characteristics. Application of the method to the problem of optimization of virtual machine scheduling in a heterogeneous Infrastructure as a Service (IaaS) computing cloud is described.

Keywords


IaaS; cloud computing; workload modeling; hardware load prediction

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References


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DOI: http://dx.doi.org/10.21936/si2016_v37.n2.762