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About my research

Gyeongsik Yang received his B.S., M.S., and Ph.D. degrees in computer science from Korea University, Seoul, Republic of Korea, in 2015, 2017, and 2019, respectively. He worked as a research intern at Microsoft Research Asia and as a research professor at Korea University. He is currently an assistant professor in the Department of Computer Science and Engineering at Korea University. His research interests include operating systems, AI systems, datacenter systems, network virtualization, and SDN.

All Stories

  1. Article
    Prediction of permissioned blockchain performance for resource scaling configurations
    Gyeongsik Yang
  2. Article
    Harmonia: Accurate Federated Learning with All-Inclusive Dataset
    Gyeongsik Yang
  3. Article
    Predictive Placement of Geo-Distributed Blockchain Nodes for Performance Guarantee
    Gyeongsik Yang
  4. Article
    Intelligent Packet Processing for Performant Containers in IoT
    Gyeongsik Yang
  5. Article
    Selective Preemption of Distributed Deep Learning Training
    Gyeongsik Yang
  6. Article
    Enhancing Network Virtualization with Meteor: A Machine Learning Solution
    Gyeongsik Yang
  7. Article
    Improving SDN Performance with Machine Learning-Based Traffic Prediction
    Gyeongsik Yang
  8. Article
    Xonar: Profiling-based Job Orderer for Distributed Deep Learning
    Gyeongsik Yang
  9. Article
    Prediction of the Resource Consumption of Distributed Deep Learning Systems
    Gyeongsik Yang
  10. Article
    Predict deep learning training through graph neural networks
    Gyeongsik Yang
  11. Article
    Predict deep learning training through graph neural networks
    Gyeongsik Yang
  12. Article
    Resource Analysis of Blockchain Consensus Algorithms in Hyperledger Fabric
    Gyeongsik Yang
  13. Article
    TeaVisor: Network Hypervisor for Bandwidth Isolation in SDN-NV
    Gyeongsik Yang
  14. Article
    SDN provides network virtualization more programmable with reasonable overheads
    Gyeongsik Yang
  15. Article
    Enhanced control path for repeated TCP connections
    Gyeongsik Yang
  16. Article
    Bandwidth Isolation Guarantee for SDN Virtual Networks
    Gyeongsik Yang
  17. Article
    QiOi: Performance Isolation for Hyperledger Fabric
    Gyeongsik Yang
  18. Article
    Accurate and Efficient Monitoring for Virtualized SDN in Clouds
    Gyeongsik Yang
  19. Article
    Proactive Congestion Avoidance for Distributed Deep Learning
    Gyeongsik Yang
  20. Article
    TensorExpress: In-Network Communication Scheduling for Distributed Deep Learning
    Gyeongsik Yang
  21. Article
    Exploring the Characteristics of Hyperledger Fabric in Resource Consumption
    Gyeongsik Yang
  22. Article
    Network Monitoring for SDN Virtual Networks
    Gyeongsik Yang
  23. Article
    Cloud service model of programmable network virtualization with SDN
    Gyeongsik Yang
  24. Article
    CLEO
    Gyeongsik Yang
  25. Article
    FAVE: Bandwidth-Aware Failover in Virtualized SDN for Clouds
    Gyeongsik Yang
  26. Article
    TALON: Tenant Throughput Allocation Through Traffic Load-Balancing in Virtualized Software-Defined Networks
    Gyeongsik Yang
  27. Article
    White Visor: Support of White-Box Switch in SDN-Based Network Hypervisor
    Gyeongsik Yang
  28. Article
    FlowVirt: Flow Rule Virtualization for Dynamic Scalability of Programmable Network Virtualization
    Gyeongsik Yang
  29. Article
    Comprehensive Prediction Models of Control Traffic for SDN Controllers
    Gyeongsik Yang
  30. Article
    LiteVisor: A Network Hypervisor to Support Flow Aggregation and Seamless Network Reconfiguration for VM Migration in Virtualized Software-Defined Networks
    Gyeongsik Yang
  31. Article
    BFD-based link latency measurement in software defined networking
    Gyeongsik Yang
  32. Article
    Efficient big link allocation scheme in virtualized software-defined networking
    Gyeongsik Yang
  33. Article
    KVS
    Gyeongsik Yang
  34. Article
    Flo-v
    Gyeongsik Yang
  35. Article
    AggFlow
    Gyeongsik Yang