Energy-efficient auto-scaling of virtualized network function instances based on resource execution pattern

作者: Asif Mehmood , Afaq Muhammad , Talha Ahmed Khan , Javier Jose Diaz Rivera , Javed Iqbal

DOI: 10.1016/J.COMPELECENG.2020.106814

关键词:

摘要: Abstract To scale virtualized network functions (VNF), information about computing resource utilization plays an important role. With the usage of both and physical resources, introduced new challenges that need to be solved by virtual manager (VNFM), which are responsible for managing lifecycle VNFs. These demand auto-scaling mechanism relies on proper factors. The proposed system considers execution time, thresholds a VNF, weight factor reflecting virtualization overhead as practical An application, along with monitoring is developed. two applications communicate each other via application programming interfaces (API) generate configurations resources. In light mentioned factors, mechanism, later provided results, proves useful in solving related energy allocation resources infrastructures.

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