A network migrating framework based on CloudSim

Leilei Zhu; Xin Sui; WenHao Song; RuiXiang Liu; Dan Liu; Li Li

doi:10.1117/12.2627859

14 March 2022 A network migrating framework based on CloudSim

Leilei Zhu, Xin Sui, WenHao Song, RuiXiang Liu, Dan Liu, Li Li

Proceedings Volume 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021); 121650Z (2022) https://doi.org/10.1117/12.2627859
Event: 2021 International Conference on Intelligent Traffic Systems and Smart City, 2021, Zhengzhou, China

Abstract

With the continuous expansion of cloud data center scale, the flow of network traffic generated by virtual machine scheduling also increased, resulting in a sharp increase of energy consumption in cloud data center. Under certain network topology, different virtual machine scheduling strategies would produce different network flow. Therefore, how to optimize the scheduling strategy and reduce network flow became the key factors to reduce the energy consumption of cloud datacenter. In this paper, based on the cloud computing simulation platform CloudSim, the network module was extended, adding the network communication module of virtual machine migrating. In order to ensure the stability of the network data center, a virtual machine scheduling algorithm NPABFD for network traffic and energy consumption aware was proposed. The experimental results showed that the NPABFD algorithm could effectively reduce the transfer traffic of migrating VMs in high-level switches, reduce the global NDC's global energy consumption and the migrating number of VMs.

Citation Download Citation

Leilei Zhu, Xin Sui, WenHao Song, RuiXiang Liu, Dan Liu, and Li Li "A network migrating framework based on CloudSim", Proc. SPIE 12165, International Conference on Intelligent Traffic Systems and Smart City (ITSSC 2021), 121650Z (14 March 2022); https://doi.org/10.1117/12.2627859

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KEYWORDS

Clouds

Data centers

Switches

Detection and tracking algorithms

Analytical research

Computer simulations

Network architectures

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