Authors: Bakhytzhan Akhmetov, Valery Lakhno, Nurzhamal Oshanova, Zhuldyz Alimseitova, Madina Bereke, Nurgul Izbasova (IJECE 36176)
When designing a virtual desktop infrastructure (or VDI) for a university or inter-university cloud, developers must overcome many complex technical challenges. One of these tasks is estimating the required number of virtualization cluster nodes. Such nodes host virtual machines for users. Students and teachers can use these virtual machines to complete academic assignments or research work. Another task that arises in the VDI design process is the problem of algorithmizing the placement of virtual machines in a computer network. In this case, optimal placement of virtual machines will reduce the number of computer nodes without affecting functionality. And this, ultimately, helps to reduce the cost of such a solution, which is important for educational institutions. The article proposes a model for estimating the required number of virtualization cluster nodes. The proposed model is based on a combined approach, which entails jointly solving the problem of optimal packaging and finding the configuration of server platforms in a private university cloud using a genetic algorithm. The work proposes a universal model that can design cloud university platforms for a variety of purposes, ranging from the educational process to interuniversity scientific laboratories.
International Journal of Electrical and Computer Engineering (IJECE)
Supported by Master Program of Electrical and Computer Engineering, Universitas Ahmad Dahlan, #yogyakarta
Admission:
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