I am an Assistant Professor in the Computer Science department at the University of California, Irvine. My research interests lie at the intersection of computer systems, networking, and machine learning. Prior to UCI, I completed my Ph.D. at the University of Illinois, Urbana-Champaign in 2019 where I was advised by Brighten Godfrey and had a brief stint as a postdoc at VMware Research.

I lead the Networking, Systems, and AI Lab (NetSAIL) at UCI. My current focus revolves around:
- Internet and Cloud Resilience
- Systems and Machine Learning

Recent News
04/24: Invited Talk at UIUC SysNet Retreat.
12/23: LinguaLinked, our distributed LLM inference system for mobile devices, was featured in the New Scientist magazine and the Import AI newsletter by the cofounder of Anthropic.
12/23: Xaminer accepted at SIGMETRICS '24.
12/23: CrystalBox accepted at AAAI '24.
09/23: Nautilus accepted at SIGMETRICS '24.
08/23: Invited talk at the Indian Institute of Science on Understanding Internet Resilience to Planetary-Scale Risks.
06/23: Intereviewed for an article in the Washington Post on Internet resilience under solar storms.
06/23: Sagar Patel presented our work on Future-Based Explainers for Deep RL Network Controllers at the SIGMETRICS Workshop on Measurements for Self-Driving Networks.
05/23: Alagappan Ramanathan was selected as a Pulse Research Fellow by the Internet Society.
08/22: Interviewed for a BBC article on computer errors from space.
06/22: Honored to be selected as N2Women Rising Star in Networking and Communications.
04/22: cISP appeared at NSDI '22.
03/22: Thrilled to receive the IETF/IRTF Applied Networking Research Prize for my work on Internet resilience under solar superstorms. The talk at the IRTF meeting is online.
08/21: Presented "Solar Superstorms: Planning for an Internet Apocalypse" at SIGCOMM'21. The paper received broad media coverage (WIRED, Forbes, Ars Technica, Scientific American, Tech Xplore, Live Science, etc.)

Publications


Preprints (Under Review)

  • Gecko: Automated Feature Degradation for Cloud Resilience [PDF]
    Kapil Agrawal, Sangeetha Abdu Jyothi
    arXiv 2023
  • LinguaLinked: A Distributed Large Language Model Inference System for Mobile Devices [PDF]
    Junchen Zhao, Yurun Song, Simeng Liu, Ian G. Harris, Sangeetha Abdu Jyothi
    arXiv 2023
  • Characterizing the Role of Power Grids in Internet Resilience [PDF]
    Sangeetha Abdu Jyothi
    arXiv 2023
  • Plume: A Framework for High Performance Deep RL Network Controllers via Prioritized Trace Sampling [PDF]
    Sagar Patel, Junyang Zhang, Sangeetha Abdu Jyothi, Nina Narodytska
    arXiv 2023



    • Publications

  • [SIGMETRICS'24] Nautilus: A Framework for Cross-Layer Cartography of Submarine Cables and IP Links [PDF] [Code]
    Alagappan Ramanathan, Sangeetha Abdu Jyothi
    ACM SIGMETRICS/Performance 2024 and
    The Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Dec 2023.
  • [SIGMETRICS'24] Xaminer: An Internet Cross-Layer Resilience Analysis Tool [PDF]
    Alagappan Ramanathan, Rishika Sankaran, Sangeetha Abdu Jyothi
    ACM SIGMETRICS/Performance 2024 and
    The Proceedings of the ACM on Measurement and Analysis of Computing Systems (POMACS), Mar 2024.
  • [AAAI'24] CrystalBox: Future-Based Explanations for Input-Driven Deep RL Systems [PDF]
    Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska
    38th AAAI Conference on Artificial Intelligence (AAAI-24)

  • [SIGMETRICS-PER'23] Towards Future-Based Explanations for Deep RL Network Controllers [PDF]
    Sagar Patel, Sangeetha Abdu Jyothi, Nina Narodytska
    SIGMETRICS Performance Evaluation Review, 2023
    Presented at the ACM SIGMETRICS '23 Workshop on Measurements for Self-Driving Networks
  • [EDBT'23] E2-NVM: A Memory-Aware Write Scheme to Improve Energy Efficiency and Write Endurance of NVMs using Variational Autoencoders [PDF]
    Saeed Kargar, Binbin Gu, Sangeetha Abdu Jyothi, Faisal Nawab
    26th International Conference on Extending Database Technology, 2023

  • [NSDI'22] cISP: A Speed-of-Light Internet Service Provider [PDF]
    Debopam Bhattacherjee, Waqar Aqeel, Sangeetha Abdu Jyothi, Ilker Nadi Bozkurt, William Sentosa, Muhammad Tirmazi, Anthony Aguirre, Balakrishnan Chandrasekaran, P. Brighten Godfrey, Gregory P. Laughlin, Bruce M. Maggs, Ankit Singla
    19th USENIX Symposium on Networked Systems Design and Implementation, 2022

  • [SIGCOMM'21] Solar Superstorms: Planning for an Internet Apocalypse [PDF]
    Sangeetha Abdu Jyothi
    SIGCOMM 2021
    ★ 2022 IETF/IRTF Applied Networking Research Prize
    Media: WIRED, Forbes, Ars Technica, Scientific American, Tech Xplore, Live Science, and several other media outlets.
    Blog post on APNIC blog

  • [OSDI'20] Building Scalable and Flexible Cluster Managers Using Declarative Programming [PDF] [Code]
    Lalith Suresh, Joao Loff, Faria Kalim, Sangeetha Abdu Jyothi, Nina Narodytska, Leonid Ryzhyk, Sahan Gamage, Brian Oki, Pranshu Jain, Michael Gasch
    14th USENIX Symposium on Operating Systems Design and Implementation (OSDI '20)
  • [HotNets'20] Spineless Data Centers [PDF]
    Vipul Harsh, Sangeetha Abdu Jyothi, Brighten Godfrey
    19th ACM Workshop on Hot Topics in Networks (HotNets'20)
  • [HotCloud'20] Towards An Application Objective-Aware Network Interface [PDF]
    Sangeetha Abdu Jyothi*, Sayed Hadi Hashemi*, Roy Campbell, Brighten Godfrey
    12th USENIX Workshop on Hot Topics in Cloud Computing (HotCloud '20)

  • [MLSys'19] TicTac: Accelerating Distributed Deep Learning with Communication Scheduling [PDF]
    Sayed Hadi Hashemi*, Sangeetha Abdu Jyothi*, Roy H. Campbell
    (* = co-primary authors)
    The Conference on Systems and Machine Learning (SysML), 2019
  • [NSDI'19] Is Advance Knowledge of Flow Sizes a Plausible Assumption? [PDF]
    Vojislav Dukic, Sangeetha Abdu Jyothi, Bojan Karlas, Muhsen Owaida, Ce Zhang, Ankit Singla
    The 16th USENIX Symposium on Networked Systems Design and Implementation, 2019
  • [MLSys'18] On The Importance of Execution Ordering in Graph-Based Distributed Machine Learning Systems [PDF]
    Sayed Hadi Hashemi, Sangeetha Abdu Jyothi, Roy H. Campbell
    Conference on Systems and Machine Learning (SysML), 2018     (Extended Abstract)
  • [OSDI'16] Morpheus: Towards Automated SLOs for Enterprise Clusters [PDF] Open-source code on Hadoop: Reservation module [1] Resource Estimator [2]
    Sangeetha Abdu Jyothi, Carlo Curino, Ishai Menache, Shravan Matthur Narayanamurthy, Jonathan Yaniv, Alexey Tumanov, Ruslan Mavlyutov, Inigo Goiri, Subru Krishnan, Janardhan Kulkarni, Sriram Rao
    12th USENIX Symposium on Operating Systems Design and Implementation
  • [SC'16] Measuring and Understanding Throughput of Network Topologies [PDF] [TechReport] [Code]
    Sangeetha Abdu Jyothi, Ankit Singla, P. Brighten Godfrey and Alexandra Kolla.
    SC, ACM/IEEE International Conference for High Performance Computing, Networking, Storage and Analysis, 2016
  • [SOSR'15] Towards a Flexible Data Center Fabric with Source Routing [PDF]
    Sangeetha Abdu Jyothi, Mo Dong, P. Brighten Godfrey
    ACM Symposium on SDN Research 2015
  • [SIGMETRICS '14] Measuring Throughput of Data Center Network Topologies [PDF]
    Sangeetha Abdu Jyothi, Ankit Singla, P. Brighten Godfrey and Alexandra Kolla.
    2014 ACM international conference on Measurement and modeling of computer systems (Short paper)
  • Towards a secure and verifiable future Internet
    Limin Jia, Chen Chen, Sangeetha Abdu Jyothi, W. Zhou, Suyog Mapara and Boon Thau Loo
    Off the Beaten Track: Underrepresented Problems for Programming Language Researchers Workshop co-located with POPL, 2012.


    • Technical Reports

  • Caramel: Accelerating Decentralized Distributed Deep Learning with Computation Scheduling [PDF]
    Sayed Hadi Hashemi*, Sangeetha Abdu Jyothi*, Brighten Godfrey, Roy Campbell
    (* = co-primary authors)
    Preprint, arXiv, 2020

  • cISP: A Speed-of-Light Internet Service Provider [PDF]
    Debopam Bhattacherjee, Sangeetha Abdu Jyothi, Ilker Nadi Bozkurt, Muhammad Tirmazi, Waqar Aqeel, Anthony Aguirre, Balakrishnan Chandrasekaran, P. Brighten Godfrey, Gregory P. Laughlin, Bruce M. Maggs, Ankit Singla
  • Expander Datacenters: From Theory to Practice [PDF]
    Vipul Harsh, Sangeetha Abdu Jyothi, Inderdeep Singh, Brighten Godfrey

    • Thesis

  • Network Flow Optimization for Distributed Clouds
    Sangeetha Abdu Jyothi
    Ph.D. thesis, University of Illinois, Urbana, Champaign, Aug 2019.
  • Analysis of Path Diversity in the Internet
    Sangeetha Abdu Jyothi
    Master's thesis, University of Pennsylvania, Aug 2012.

    • Networking, Systems, and AI Lab (NetSAIL)


    Graduate Students
    Kapil Agrawal (Spring 2023 - Present)
    Sagar Patel (Fall 2020 - Present)
    Alagappan Ramanathan (Fall 2021 - Present)

    Zirui Liu (MS)
    Neal Sharma (MS)

    Undergraduate Students
    Priyansha Sharma (Honors thesis)
    Mengjie Xie (Honors thesis)

    Alumni
    Graduate Students
    Saksham Aggarwal (Feb'23 - Dec'23, MS)
    Simeng Liu (Feb'23 - Dec'23, MS)
    Rishika Sankaran (Feb'23 - Jun'23, MS, Next: Amazon)
    Kapil Agrawal (Sep'21 - Mar'23, MS, Next: PhD at UCI)

    Undergraduate Students
    Varij Parin Jhaveri (Sep'21 - Jun'23, Honors thesis, Next: Epic Systems)
    Zihan Xu (Sep'22 - Jun'23, Next: MS at CMU)
    Wenyi Zhang (Sep'22 - Jun'23, Next: MS at UCSD)
    Patrick Hongyu Wang (Sep'22 - Jan'23, Next: MS at CMU)
    Junyang Zhang (Jun'22 - Feb'23, Next: MS at CalTech)
    Syona Mehra (Jun'22 - Sep'22)
    Jonathan Fei Yu (Jun'21 - Mar'22, Next: Amazon)
    Haining Zhou (Jun'21 - Jun'22, Next: MS at UC Berkeley)
    Niva Ranavat (Jun'21 - Aug'21, Next: Amazon)
    Chinmay Tyagi (Jun'21 - Aug'21, Next: Microsoft)
    Qingshuang (Susie) Su (Jun'21 - Aug'21)

    Nitya Golla (Jun'21 - Aug'21, HS student, Next: BS at UC Davis)

    Teaching


    Spring 2024: Advanced Computer Networks [CS 133]
    Fall 2023: Systems and Machine Learning [CS 256]
    Spring 2023: Advanced Computer Networks [CS 234]
    Fall 2022: Systems and Machine Learning [CS 256]
    Spring 2022: Advanced Computer Networks [CS 234]
    Winter 2022: Systems and Machine Learning [CS 295], Reflections on Research [CS 290]
    Winter 2021: Systems and Machine Learning [CS295]

    Education


    Ph.D.   (Aug 2013 - Aug 2019)
    Computer Science
    University of Illinois, Urbana-Champaign

    Master of Science in Engineering   (Sep 2010 - Aug 2012)
    Telecommunications and Networking
    University of Pennsylvania

    Bachelor of Technology   (Jul 2006 - May 2010)
    Electronics and Communication Engineering
    National Institute of Technology, Calicut, Kerala, India

    Experience


    Affiliated Researcher, VMware Research (Sep 2020 - Present)
    Postdoctoral Researcher, VMware Research (Sep 2019 - Jun 2020)
    Research Collaborator, Microsoft (Oct 2015 - May 2016)
    Research Intern, Microsoft Research (May 2015 - Aug 2015)
    Software Engineering Intern, Google (May 2014 - Aug 2014)

    Service

    Organizing
      2024: ACM HotNets General Co-Chair, ACM CoNEXT Publications Co-Chair
      2023: ACM SIGCOMM Workshops Co-Chair
      2022-23: Journal of Systems Research (JSys) Networking Area Co-Chair
      2021: Joint ATC/OSDI Preview Sessions Co-Chair

    Program Committee
      2025: NSDI
      2024: NSDI, MLSys, SIGCOMM, PAM
      2023: NSDI, MLSys, IMC, Applied Networking Research Prize (ANRP), Machine Learning and Systems Rising Stars Awards, CoNEXT Posters
      2022: NSDI, IMC, EuroSys, HotNets, APSys, ML for Computer Architecture and Systems Workshop @ ISCA
      2021: ATC, SoCC, CoNEXT, ML for Computer Architecture and Systems Workshop @ ISCA, SOSP Student Research Competition, Posters/Demos at SIGCOMM
      2020: SIGCOMM, ATC, CoNEXT, NetAI Workshop at SIGCOMM, Posters/Demos at SIGCOMM


    Reviewer
      IEEE/ACM Transactions on Networking: 2020, 2018, 2017, 2015
      Transactions on Computer Systems: 2019
      Journal of Systems Research: 2021 (Reviewer in SysML area at JSys)
      External Reviewer: European Conference on Parallel and Distributed Computing (Euro-Par): 2016