Personal Profile

Dr. Gu Lin received her Bachelor's degree in Computer Science and Technology from the School of Computer Science and Technology, Huazhong University of Science and Technology(HUST) in 2009, and her master's degree and doctor's degree in Computer Information System from Aizu University, Japan in 2011 and 2015, respectively. Her main research interests include virtualization of network functions, software defined networks, cloud computing, etc. So far, more than 20 papers have been published in IEEE Transactions on Computers, Transactions on Industrial Informatics and other journals and conferences. She has been a member of the Procedure Committee of many international conferences, including IEEE Globecom, ISPA, ICA3PP, etc.

Academic Degrees

2012.10 ~ 2015.3

Aizu University of Japan   Doctoral Degree in Engineering  -  Postgraduate (Doctoral)

2009.10 ~ 2011.10

Aizu University of Japan    Master's Degree in Engineering  -  Postgraduate (Master's Degree)

2004.9 ~ 2009.6

Huazhong University of Science and Technology   Undergraduate (Bachelor’s degree)

Professional Experience

Courses Taught

[1] Computer System and Architecture

Awards and Honors

Selected Projects Funded

[1] "Efficiency Optimization of Software-defined Data Center Network",supported by  Natural Science Foundation of Hubei Province 2016 ,project leader, in progress.

[2] "Resource Scheduling and Efficiency Optimization for Network Co-Virtualization",supported by NSFC(Youth), 2016, project leader in Progress.

Selected Publications

[1] Lin Gu, Zirui Chen, Honghao Xu, Deze Zeng, Boi Li, Hai Jin: Layer-aware Collaborative Microservice Deployment toward Maximal Edge Throughput. In IEEE INFOCOM 2022: 71-79

[2] Lin Gu，Deze Zeng，Wei Li，Song Guo，Albert Y. Zomaya，Hai Jin：Exploring Layered Container Structure for Cost Efficient Microservice Deploymen. In 40th IEEE Conference on Computer Communications, In IEEE INFOCOM 2021: 1-9

[3] Lin Gu，Jie Hu, Deze Zeng，Bo Li，Hai Jin：Layer Aware Microservice Placement and Request Scheduling at the Edge. In IEEE INFOCOM 2021: 1-9

[4] Lin Gu, Deze Zeng, Wei Li, Song Guo, Albert Y. Zomaya, Hai Jin: Deep Reinforcement Learning based VNF Management in Geo-distributed Edge Computing. ICDCS 2019: 934-943

[5] Lin Gu ; Deze Zeng ; Wei Li ; Song Guo ; Albert Y. Zomaya ; Hai Jin: Intelligent VNF Orchestration and Flow Scheduling via Model-assisted Deep Reinforcement Learning. IEEE Journal on Selected Areas in Communications: 99(pp): 1-13 (2020)

[6] Lin Gu, Deze Zeng, Sheng Tao, Song Guo, Hai Jin, Albert Y. Zomaya, Weihua Zhuang: Fairness-Aware Dynamic Rate Control and Flow Scheduling for Network Utility Maximization in Network Service Chain. IEEE Journal on Selected Areas in Communications 37(5): 1059-1071 (2019)

[7] Lin Gu, Deze Zeng, Song Guo, Yong Xiang, Jiankun Hu: A General Communication Cost Optimization Framework for Big Data Stream Processing in Geo-Distributed Data Centers. IEEE Trans. Computers 65(1): 19-29 (2016)

[8] Lin Gu, Deze Zeng, Ahmed Barnawi, Song Guo, Ivan Stojmenovic: Optimal Task Placement with QoS Constraints in Geo-Distributed Data Centers Using DVFS. IEEE Trans. Computers 64(7): 2049-2059 (2015)

[9] Lin Gu, Jie Hu, Deze Zeng, Song Guo, Hai Jin: Service Function Chain Deployment and Network Flow Scheduling in Geo-Distributed Data Centers. IEEE Trans. Netw. Sci. Eng. 7(4): 2587-2597 (2020)

[10]  Lin Gu, Deze Zeng, Song Guo, Ahmed Barnawi, Yong Xiang: Cost Efficient Resource Management in Fog Computing Supported Medical Cyber-Physical System. IEEE Trans. Emerging Topics Comput. 5(1): 108-119 (2017)

[11]  Jin Zhao, Yun Yang, Yu Zhang, Xiaofei Liao, Lin Gu, Ligang He, Bingsheng He, Hai Jin, Haikun Liu, Xinyu Jiang, Hui Yu: TDGraph: a topology-driven accelerator for high-performance streaming graph processing. In ISCA 2022: 116-129

[12]  Yu Zhang, Xiaofei Liao, Hai Jin, Bingsheng He, Haikun Liu, Lin Gu: DiGraph: An Efficient Path-based Iterative Directed Graph Processing System on Multiple GPUs. In ASPLOS 2019: 601-614

[13]  Yu Zhang, Xiaofei Liao, Hai Jin, Lin Gu, Ligang He, Bingsheng He, Haikun Liu: CGraph: A Correlations-aware Approach for Efficient Concurrent Iterative Graph Processing. In USENIX ATC 2018: 441-452

[14] Yu Zhang, Xiaofei Liao, Lin Gu, Hai Jin, Kan Hu, Haikun Liu, Bingsheng He: AsynGraph: Maximizing Data Parallelism for Efficient Iterative Graph Processing on GPUs. ACM Trans. Archit. Code Optim. 17(4): 29:1-29:21 (2020)

[15]  Yu Zhang, Jin Zhao, Xiaofei Liao, Hai Jin, Lin Gu, Haikun Liu, Bingsheng He, Ligang He: CGraph: A Distributed Storage and Processing System for Concurrent Iterative Graph Analysis Jobs. ACM Trans. Storage 15(2): 10:1-10:26 (2019)

Professional Affiliations

Research Group

Enrollment Information

Personal Homepage

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