Clustering model of cloud centers for big data processing

Klymash, Mykhailo; Peleh, Nazar; Shpur, Olga; Lutsiuk, Iryna

doi:10.1109/tcset.2018.8336200

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Defying modern tendencies [2], [3], [5], this work proposes a fundamentally new approach -to centralize routing table's computing, which will decrease computational loading, applied All Authors are with Lviv Polytechnic National University, Ukraine (e-mail: valentyn.faichuk.tk.2015@edu.lpnu.ua, orest.a.lavriv@edu.lpnu.ua).…”

Section: Trends and Problem Statementmentioning

confidence: 99%

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International Journal of Electronics and Telecommunications

Faychuk¹,

Lavriv²,

Strykhalyuk³

et al. 2019

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This paper proposes an advanced routing method in the purpose of increasing IoT routing device's power-efficiency, which allows to centralize routing tables computing as well as to push loading, related to routing tables computation, towards the Cloud environment at all. We introduced a phased solution for the formulated task. Generally, next steps were performed: stated requirements for the system with Cloud routing, proposed possible solution, and developed the whole system's structure. For a proper study of the efficiency, the experiment was conducted using the developed system's prototype for real-life cases, each represents own cluster size (several topologies by each size), used sizes are: 5,

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Section: Trends and Problem Statementmentioning

confidence: 99%

“…Ability to centralize computations in proposed routing principle allows to push loading to the Cloud environment [5], [11]. However, along with centralization, the need for an exhaustive description for input and output parameters occurs.…”

Section: Experiments Infrastructurementioning

confidence: 99%