Providing of Data Center Information Security on the Basis of Performance Balance

Savchenko, Vitalii; Haidur, Halyna; Dzyuba, Taras; Marchenko, Vitalii; Matsko, Oleksandr; Havryliuk, Ivan

doi:10.1109/atit54053.2021.9678679

Cited by 1 publication

(2 citation statements)

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“…According to the literature review [5][6][7], the existing network topologies are classified into the two categories mentioned above, and the representatives of each category are selected. Network topologies are selected in light of their use in engineering practices.…”

Section: Related Workmentioning

confidence: 99%

“…Fat-tree is a tree-like network topology composed of root nodes, core nodes, edge nodes, and leaf nodes. It has evenly distributed connections between nodes, offering high connectivity, low latency, and high throughput [6]. Thus, it is an ideal choice for constructing data center networks due to its capability for large-scale network deployment.…”

Section: Related Workmentioning

confidence: 99%

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Study of data center communication network topologies using complex network propagation model

et al. 2023

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Data center, as the core infrastructure of data storage and processing, calls for network security protection. Information security has been addressed in a number of specific ways. However, there are few studies that employ network topology features to prevent the transmission of viruses. When a virus spreads, different topologies display various properties. In this paper, we study three types of data center network topologies, i.e., Fat-tree, Leaf-spine, and Bcube, and quantify the propagation characteristics in every topology through the IC propagation model. The probability of the device being infected, the count of propagation sources, the access of propagation sources, and the topological parameters are all considered. Given that network security defenders can only change the topology and topological parameters, we propose a computational framework that combines factor analysis, which provides us with the selection of network topological parameters with a low virus propagation rate in the candidate parameter set. Through experiments, we find that Leaf-spine has a good inhibitory effect on viruses with high propagation probability. Meanwhile, each offers unique advantages. We hope that more data center network topologies will be studied to improve the security of all data centers using these network topologies.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%