Muhammad Abdullah1,*, Saad Ahmad Khan1, Mamdouh Alenez2, Khaled Almustafa3, Waheed Iqbal1
Intelligent Automation & Soft Computing, Vol.26, No.1, pp. 13-25, 2020, DOI:10.31209/2018.100000047
Abstract An efficient placement of virtual machines (VMs) in a cloud datacenter is
important to maximize the utilization of infrastructure. Most of the existing work
maximises the number of VMs to place on a minimum number of physical
machines (PMs) to reduce energy consumption. Recently, big data applications
become popular which are mostly hosted on cloud datacenters. Big data
applications are deployed on multiple VMs and considered data and
communication intensive applications. These applications can consume most of
the datacenter bandwidth if VMs do not place close to each other. In this paper,
we investigate the More >
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