Jiangyuan Yao¹, Weiping Yang¹, Shuhua Weng¹, Minrui Wang¹, Zheng Jiang², Deshun Li^1,*, Yahui Li³, Xingcan Cao⁴

Computer Systems Science and Engineering, Vol.47, No.1, pp. 741-755, 2023, DOI:10.32604/csse.2023.031531

Abstract Software-defined networking (SDN) is widely used in multiple types of data center networks, and these distributed data center networks can be integrated into a multi-domain SDN by utilizing multiple controllers. However, the network topology of each control domain of SDN will affect the performance of the multi-domain network, so performance evaluation is required before the deployment of the multi-domain SDN. Besides, there is a high cost to build real multi-domain SDN networks with different topologies, so it is necessary to use simulation testing methods to evaluate the topological performance of the multi-domain SDN network. As there is a lack of… More >

Haijun Geng^1,2, Zikun Jin¹, Jiangyuan Yao^3,*, Han Zhang⁴, Zhiguo Hu⁶, Bo Yang⁵, Yingije Guo⁷, Wei Wang¹, Qidong Zhang¹, Guoao Duan⁸

CMC-Computers, Materials & Continua, Vol.72, No.3, pp. 4525-4540, 2022, DOI:10.32604/cmc.2022.027725

Abstract Network failures are unavoidable and occur frequently. When the network fails, intra-domain routing protocols deploying on the Internet need to undergo a long convergence process. During this period, a large number of messages are discarded, which results in a decline in the user experience and severely affects the quality of service of Internet Service Providers (ISP). Therefore, improving the availability of intra-domain routing is a trending research question to be solved. Industry usually employs routing protection algorithms to improve intra-domain routing availability. However, existing routing protection schemes compute as many backup paths as possible to reduce message loss due to… More >

BUWEN CAO^1,*, JIAWEI LUO^2,*, SAINAN XIAO¹, KAI ZHAO¹, SHULING YANG¹

BIOCELL, Vol.46, No.3, pp. 837-845, 2022, DOI:10.32604/biocell.2022.017538

Abstract Identifying associations between microRNAs (miRNAs) and diseases is very important to understand the occurrence and development of human diseases. However, these existing methods suffer from the following limitation: first, some disease-related miRNAs are obtained from the miRNA functional similarity networks consisting of heterogeneous data sources, i.e., disease similarity, protein interaction network, gene expression. Second, little approaches infer disease-related miRNAs depending on the network topological features without the functional similarity of miRNAs. In this paper, we develop a novel model of Integrating Network Topology Similarity and MicroRNA Function Similarity (INTS-MFS). The integrated miRNA similarities are calculated based on miRNA functional similarity… More >

Huarui Wu^1,2,3, Huaji Zhu^1,2,3, Xiao Han^1,2,3,*, Wei Xu⁴

Computer Systems Science and Engineering, Vol.37, No.1, pp. 89-104, 2021, DOI:10.32604/csse.2021.015030

Abstract When wireless sensor networks (WSN) are deployed in the vegetable greenhouse with dynamic connectivity and interference environment, it is necessary to increase the node transmit power to ensure the communication quality, which leads to serious network interference. To offset the negative impact, the transmit power of other nodes must also be increased. The result is that the network becomes worse and worse, and node energy is wasted a lot. Taking into account the irregular connection range in the cucumber greenhouse WSN, we measured the transmission characteristics of wireless signals under the 2.4 Ghz operating frequency. For improving network layout in… More >