Yu Gan

Orcid: 0000-0003-2697-9950

Affiliations:
  • Cornell University, Ithaca, NY, USA


According to our database1, Yu Gan authored at least 22 papers between 2015 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
End-to-End Cloud Application Cloning With Ditto.
IEEE Micro, 2024

2023
Ditto: End-to-End Application Cloning for Networked Cloud Services.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

Sleuth: A Trace-Based Root Cause Analysis System for Large-Scale Microservices with Graph Neural Networks.
Proceedings of the 28th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2023

2022
Enabling Practical Cloud Performance Debugging with Unsupervised Learning.
ACM SIGOPS Oper. Syst. Rev., 2022

Practical and Scalable ML-Driven Cloud Performance Debugging With Sage.
IEEE Micro, 2022

End-to-End Application Cloning for Distributed Cloud Microservices with Ditto.
CoRR, 2022

2021
Sage: Leveraging ML to Diagnose Unpredictable Performance in Cloud Microservices.
CoRR, 2021

Sage: Using Unsupervised Learning for Scalable Performance Debugging in Microservices.
CoRR, 2021

Sage: practical and scalable ML-driven performance debugging in microservices.
Proceedings of the ASPLOS '21: 26th ACM International Conference on Architectural Support for Programming Languages and Operating Systems, 2021

2020
Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems.
IEEE Micro, 2020

2019
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer.
ACM SIGOPS Oper. Syst. Rev., 2019

uqSim: Scalable and Validated Simulation of Cloud Microservices.
CoRR, 2019

An Open-Source Benchmark Suite for Cloud and IoT Microservices.
CoRR, 2019

Leveraging Deep Learning to Improve the Performance Predictability of Cloud Microservices.
CoRR, 2019

µqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices.
Proceedings of the IEEE International Symposium on Performance Analysis of Systems and Software, 2019

Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud & Edge Systems.
Proceedings of the Twenty-Fourth International Conference on Architectural Support for Programming Languages and Operating Systems, 2019

2018
The Architectural Implications of Microservices in the Cloud.
CoRR, 2018

The Architectural Implications of Cloud Microservices.
IEEE Comput. Archit. Lett., 2018

Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging.
Proceedings of the 10th USENIX Workshop on Hot Topics in Cloud Computing, 2018

2016
Secure Collaborative Spectrum Sensing: A Peer-Prediction Method.
IEEE Trans. Commun., 2016

2015
Incentive Attack Prevention for Collaborative Spectrum Sensing: A Peer-Prediction Method.
Proceedings of the 2015 IEEE Global Communications Conference, 2015


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