Academic Journal of Computing & Information Science, 2022, 5(11); doi: 10.25236/AJCIS.2022.051104.
Yongchao Zhao, Ying Xie
Chuxiong Normal University, Chuxiong, China
With the development of cloud computing applications in recent years, the problem of IDC traffic scheduling in small and medium-sized data centers has become increasingly prominent. This paper starts from the consideration of data traffic scheduling of small and medium-sized private cloud centers, and uses the small and medium-sized private cloud built by 40 HUAWEI servers as the experimental environment. It tries to consider the classification of different service applications, the requirements and requirements of different types of traffic, and build a hybrid traffic scheduling strategy to provide a reference for traffic scheduling research of small and medium-sized private cloud.
Private Cloud, Data Center, Traffic Scheduling, Scheduling Strategy
Yongchao Zhao, Ying Xie. Research on traffic scheduling based on private cloud platform. Academic Journal of Computing & Information Science (2022), Vol. 5, Issue 11: 28-32. https://doi.org/10.25236/AJCIS.2022.051104.
[1] Akyildiz et al. (2016) Research challenges for traffic engineering in Software Defined Networks. IEEE Network, 3, 52-58.
[2] Masoudi R et al. (2016) Software Defined Networks:a survey. Journal of Network and Commputer Applications, 67, 1-25.
[3] Zhang Zhao et al. (2019) SDN based probabilistic path selection method for data center network traffic. Computer Engineering, 4, 36-40.
[4] Tang Wan et al. (2019) Research progress on optimization technology of OpenFlow flow table space in software definition network. Journal of Central South University for Nationalities, 3, 459-465.
[5] Tang Hong. (2019) Network Traffic Scheduling Algorithm of Data Center for Bandwidth Fragment Minimization and QoS Guarantee. Journal of Electronic Information, 4, 987-994.
[6] Kou Ronghu. (2019) Overview of Research on Network Aware Virtual Machine Energy Efficiency. Intelligent Computers and Applications, 5, 273-275.
[7] Long Heng et al. (2022) Implementation of network traffic acquisition and analysis system. Computer Age, 4, 24-28.
[8] Zhao Liqiang et al. (2022) Classification of network traffic based on time series characteristics. Journal of Central North University, 203, 221-228.
[9] Zhang Yiyao. (2022) Design and implementation of network flow control system based on Linux. Electronic Technology and Software Engineering, 1, 21-24.