研究内容:
针对数据中心网络的高效、可靠通信问题,我们将通过研究负载均衡,节能算法,提出通用的条件连通度来衡量网络的容错能力,通过提出新的诊断结构和诊断算法来快速诊断出发生故障的结点,以及在发生故障的网络中如何高效进行路由等五方面入手,为衡量网络的高效、安全、可靠通信提供理论和技术支持。
[1] Yuan Yuan, Feng Li, Dongxiao Yu, Jichao Zhao, Jiguo Yu, Xiuzhen Cheng. Distributed Social Learning With Imperfect Information. IEEE Transactions on Network Science and Engineering, vol.8, no.2, pp.841-852,2021. [2] Yuan Yuan, Zongrui Zou, Dong Li, Li Yan, Dongxiao Yu. D-(DP)2SGD: Decentralized Parallel SGD with Differential Privacy in Dynamic Networks. Wireless Communications and Mobile Computing. pp. 6679453:1-6679453:14, 2021. [3] Xiru Liu , Guijuan Wang, Biwei Yan, Jiguo Yu. KCB-BC-SSE: A Keyword Complete Binary Tree Searchable Symmetric Encryption Scheme using Blockchain[J]. Procedia Computer Science, 2021, 187(1):377-382. [4] Mengmeng Li, Guijuan Wang , Suhui Liu, Jiguo Yu.. Multi-keyword Fuzzy Search over Encrypted Cloud Storage Data[J]. Procedia Computer Science, 2021, 187: 365-370. [5] Biwei Yan, Guijuan Wang, Jiguo Yu, et al. Spatial-temporal Chebyshev Graph Neural Network for Traffic Flow Prediction in Iot-based ITS[J]. IEEE Internet of Things Journal, 2021. [6] Xiang Tian, Baoxian Zhang, and Cheng Li, “Throughput-Optimal Dynamic Broadcast for SINR-based Multi-hop Wireless Networks with Time-Varying Topology,” IEEE Transactions on Vehicular Technology, vol. 70, no. 11, pp. 11962-11975, 2021. (SCI 2区, IF= 5.978) [7] Xiang Tian, Baoxian Zhang, Cheng Li, and Kun Hao, “Throughput-Optimal Broadcast for Time-Varying Directed Acyclic Wireless Multi-hop Networks with Energy Harvesting Constraints,” IEEE Transactions on Green Communications and Networking, vol. 5, no. 4, pp. 2089-2103, 2021. [8] Guijuan Wang, Jianxi Fan, Cheng-Kuan Lin, Baolei Cheng, Xiaohua Jia. A Novel Low Cost Interconnection Architecture Based on the Generalized Hypercube[J]. IEEE Transactions on Parallel and Distributed Systems, 2020. [9] Xiang Tian, Baoxian Zhang, Hussein T. Mouftah, “Distributed robust time-efficient broadcasting algorithms for multi-channel wireless multi-hop networks with channel disruption,” Computer Communications, vol. 152, pp. 252-265, 2020. (SCI 3区, IF=2.816) [10]Xiang Tian, Baoxian Zhang, and Cheng Li, “Distributed stable global broadcasting for SINR-based multi-channel wireless multi-hop networks,” IEEE Transactions on Vehicular Technology, vol. 69, no. 9, pp. 10202-10213, 2020. (SCI 2区, IF= 5.978) [11]Guanglin Zhou, Biwei Yan, Guijuan Wang, and Jiguo Yu. Blockchain-Based Data Ownership Confirmation Scheme in Industrial Internet of Things[C]. WASA 2020, Nanjing, China, 2020. [12]Yuan Yuan, Feng Li, Dongxiao Yu, Jiguo Yu, Yu Wu, Weifeng Lv, Xiuzhen Cheng. Fast Fault-Tolerant Sampling via Random Walk in Dynamic Networks. IEEE ICDCS’19, pp. 536-544, 2019. [13]Guijuan Wang, Cheng-Kuan Lin, Jianxi Fan, Jingya Zhou, Baolei Cheng. The Fault-tolerant Hamiltonicity and Hamiltonian Connectivity of BCube with Various Faulty Elements[J]. Journal of Computer Science and Technology,2019. [14]Guijuan Wang, Cheng-Kuan Lin,Baolei Cheng, Jianxi Fan, Weibei Fan. Structure Fault-Tolerance of the Generalized Hypercube[J]. The Computer Journal, 2019. [15]Guijuan Wang, Cheng-Kuan Lin, Jianxi Fan, Baolei Cheng, Zhao Liu. Vertex-Disjoint Paths in the Generalized Hypercube under 1-Restricted Connectivity[C]. The 21st IEEE International Conference on High Performance Computing and Communications(HPCC-2019). Springer-Verlag, Zhangjiajie, China, 2019. [16]Weibei Fan, Jianxi Fan, Cheng-Kuan Lin, Guijuan Wang, Baolei Cheng, Ruchuan Wang. An Efficient Algorithm for Embedding Exchanged Hypercubes into Grids[J]. The Journal of Supercomputing, 2019,75(2):783-807. [17]Baolei Cheng, Jianxi Fan, Xiaoyan Li, Guijuan Wang, Jingya Zhou, Yuejuan Han. Towards the Independent Spanning Trees in the Line Graphs of Interconnection Networks[C]. 2018 International Conference on Algorithms and Architectures for Parallel Processing (ICA3PP-2018). Guangdong, China, 2018. [18]Xiang Tian, Jiguo Yu, Liran Ma, Guangshun Li, and Xiuzhen Cheng, “Distributed deterministic broadcasting algorithms under the SINR model,” in Proceedings of IEEE INFOCOM’16, San Francisco, CA, USA, 2016, pp. 1–9. (CCF A类) | |||
---|---|---|---|
专利: | |||
[1] 于东晓,袁媛等。一种适用于动态分布式物联网系统的数据加密学习方法(专利号ZL202110176369.8),申请中。 [2] 于东晓,李峰,袁媛。一种基于抽样的动态分布式系统的共识方法(专利号:ZL 201910548337.9),已完成专利转化(70万元)。 |