Jingxuan (Jensen) Zhang ======================= [Markdown](https://jensen-zhang.site/resume/resume.md) -> [PDF](https://jensen-zhang.site/resume/resume.pdf), [HTML](https://jensen-zhang.site/resume/resume.html) jensen@jensen-zhang.site (+86) 188-1759-8700 skype: fno2010@live.cn Research Interests ------------------ * Network and application integration * Software-defined networking * Machine learning in networks Project Experience ------------------ * **CERN FTS/Rucio** *Contributor*, 2022 - present * Collaborated with CERN FTS/Rucio open source community to improve performance of data transfer in large-scale scientific networks. * Developed a network visibility and analysis tool for FTS. * Improved data transfer component of Rucio by integrating ALTO support. * Maintained a setup tool to quickly set up the development environment for FTS and Rucio using container and virtualization technologies (). * Presented and demonstrated in SuperComputing 2022. * **OpenALTO (Predecessors: OpenDaylight ALTO and Sextant)** *Project Contact*, 2015 - present * Provided a referenced open source implementation of the Application-Layer Traffic Optimization (ALTO) protocol. * Designed and Implemented the main building blocks of ALTO in OpenDaylight. * Managed the project in the OpenDaylight community and reviewed the code. * Created OpenALTO community (). * Demonstrated in IETF Hackathon 113 and 114. * **Unicorn: Unified Resource Orchestration for Multi-Domain, Geo-Distributed Data Analytics** *Architect and Contact*, August - November 2017 * The first multi-domain, multi-controller orchestration system for scientific data analytics. * Coordinated with the collaborators from CERN, Caltech and Starlight to deploy the system in Caltech HEP Data Center. * Demonstrated in SuperComputing 2017, 2018, and 2019. * Source opened at . * **Devopen: SDN IDE** *Project Lead*, 2016 - 2017 * The first IDE supporting visual programming for Software-Defined Networking. * Integrated the complete SDN lifecycle of Dev, Op and Use. * Gave the tutorial and demonstration in OpenDaylight Summit 2016 and SuperComputing 2016. * Source opened at . * **SeL4-based HD-ElastOS** (Kortide, Shanghai) *Intern*, Octobor 2014 - April 2015 * A Component Assembly Runtime (CAR) embedded operating system on top of state-of-the-art micro kernel. * Ported micro-kernel seL4 to some specific hardware platforms (pandanboard, lamobo M1, etc.). * Ported ElastOS on top of seL4. Education --------- * **Yale University** *Visiting Assistant in Research (Computer Science)*, 2018.11 - 2020.10 * **Tongji University** *Ph.D. Student (Computer Science)*, 2017.03 - 2018.11, 2020.10 - now *Master Student (Computer Science)*, 2015.09 - 2017.03 *B.Sc. (Computer Science)*, 2013.03 - 2015.07 *Undergraduate Student (Minor in Mathematics)*, 2011.09 - 2013.01 Awards ------ * ACM SIGCOMM NAI 2022 Best Paper (2022). * Participant Award of ACM Student Research Competition (2020). * China Scholarship Council Support (2018). * Outstanding Graduate of Tongji University (2015). * Second prize in Chinese National Undergraduate Electronic Design Contest (2014). * Honor Mention prize in ICM/MCM (2014). * First prize in Chinese National Undergraduate Mathematics Competition (2012). Internet Standards ------------------ 1. **Active Internet-Draft (Submitted to IESG for Publication)** - YANG Data Models for the Application-Layer Traffic Optimization (ALTO) Protocol. 2024, Jan. 1. **RFC 9275** - ALTO Extension: Path Vector. 2022, Sept. 1. **RFC 9241** - Content Delivery Network Interconnection (CDNI) Request Routing: CDNI Footprint and Capabilities Advertisement using ALTO. 2022, July. 1. **RFC 9240** - ALTO Extension: Entity Property Maps. 2022, July. Publications ------------ 1. Dunefsky, J., Soleimani, M., Yang R., Ros-Giralt J., Lassnig M., Wuerthwein, F.K., Yang, Y.R., Monga, I., Gao, K. and **Zhang, J.**, 2022. Transport Control Networking: Optimizing Efficiency and Control of Data Transport for Data-Intensive Networks. In Proceedings of the ACM SIGCOMM 2022 Workshop on Network-Application Integration (NAI), ACM. **(ACM SIGCOMM NAI 2022 Best Paper)** 1. **Zhang, J.**, 2021. IntQOE: Integrated End-to-end QoE Optimization for Edge Computing Enabled Web Application. In Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration (NAI), ACM. 1. Xiang, Q., Le, F., **Zhang, J.** and Yang, Y.R., 2021. Toward Stable Interdomain Network-Application Integration. In Proceedings of the ACM SIGCOMM 2021 Workshop on Network-Application Integration (NAI), ACM. 1. **Zhang, J.**, Contreras, L., Gao, K., Cano, F. , Cano, P., Escribano, A. and Yang, Y.R., 2021. Sextant: Enabling Automated Network-aware Application Optimization in Carrier Networks. In Proceedings of the International Symposium on Integrated Network Management (IM), IFIP/IEEE. 1. Cheng Y., Luo N., **Zhang, J.**, Antonopoulos T., Piskac R. and Xiang Q., 2021. Looking for the Maximum Independent Set: A New Perspective on the Stable Path Problem. In Proceedings of the *40th IEEE International Conference on Computer Communications (INFOCOM)*, IEEE. 1. **Zhang, J.** and Yang, Y.R., 2020. COC: Hierarchical Coflow Ordering for WAN Bandwidth Optimization in Inter-Data Center. In Proceedings of the *Annual conference of the ACM Special Interest Group on Data Communication on the applications, technologies, architectures, and protocols for computer communication (SIGCOMM)*, ACM. 1. **Zhang, J.**, Gao, K., Yang, Y.R. and Bi, J., 2020. Prophet: Toward Fast, Error-Tolerant Model-Based Throughput Prediction for Reactive Flows in DC Networks. In *Transactions on Networking (TON)*, IEEE/ACM. 1. Xiang, Q., **Zhang, J.**, Gao, K., Lim, Y.S., Le, F., Li, G. and Yang, Y.R., 2020, July. Toward Optimal Software-Defined Interdomain Routing. In Proceedings of the *39th IEEE International Conference on Computer Communications (INFOCOM)*, IEEE, 1529-1538. 1. Xiang, Q., Wang, X., **Zhang, J.**, Newman, H., Yang, Y.R. and Liu, J., 2019. Unicorn: Unified Resource Orchestration for Multi-Domain, Geo-Distributed Data Analytics. In *Future Generation Computer Systems*, Elsevier. 1. Xiang, Q., **Zhang, J.**, Wang, X., Liu, J., Guok, C., Le, F., MacAuley, J., Newman, H. and Yang, Y.R., 2018. Fine-Grained, Multi-Domain Network Resource Abstraction as a Fundamental Primitive to Enable High-Performance, Collaborative Data Sciences. In Proceedings of the *International Conference for High Performance Computing, Networking, Storage and Analysis (SC)*, ACM. 1. Gao, K., **Zhang, J.**, Yang, Y.R. and Bi, J. 2018., Prophet: Fast Accurate Model-based Throughput Prediction for Reactive Flow in DC Networks. In Proceedings of the *37th IEEE International Conference on Computer Communications (INFOCOM)*, IEEE, 720-728. 1. Wang, W., **Zhang, J.**, Guo, D., Xiang, Q., Huang, C., Chang, J. and Zhang, L. 2016. Towards an emerging cloudware paradigm for transparent computing. In Proceedings of the *9th IEEE/ACM International Conference on Utility and Cloud Computing (UCC)*, IEEE, 43-48. Programming Skills ------------------ * Very experienced with development in YANG and OpenDaylight. * Very experienced with Python and Mininet. * Familiar with Docker and Kubernetes. * Familiar with full-stack web development. * Familiar with embedded programming. Biography --------- ``{=html} **Jingxuan Zhang** is a PhD candidate in the Department of Computer Science at Tongji University, advised by Prof. Y. Richard Yang. He was also a CSC (China Scholarship Council) sponsored visiting researcher at Yale univerisity from 2018 to 2020. His doctoral research focuses on network visibility, intelligence and controllability for large-scale data-intensive network. He is also an active member of IETF ALTO WG, who has published 3 RFCs and 1 proposed standard adopted by IESG. Meanwhile, he is actively making contributions in open source communities including OpenDaylight, CERN Rucio and so on.
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