Yu Gan at Cornell ECE
Yu Gan at Cornell ECE
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Sage: Practical & Scalable ML-Driven Performance Debugging in Microservices
Cloud applications are increasingly shifting from large monolithic services to complex graphs of loosely-coupled microservices. Despite …
Yu Gan
,
Mingyu Liang
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
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Slides
Video
DOI
Sage: Leveraging ML To Diagnose Unpredictable Performance in Cloud Microservices
Cloud applications are increasingly shifting from large monolithic services, to complex graphs of loosely-coupled microservices. …
Yu Gan
,
Sundar Dev
,
David Lo
,
Christina Delimitrou
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Unveiling the Hardware and Software Implications of Microservices in Cloud and Edge Systems
Cloud services progressively shift from monolithic applications to complex graphs of loosely-coupled microservices. This article aims …
Yu Gan
,
Yanqi Zhang
,
Dailun Cheng
,
Ankitha Shetty
,
Priyal Rathi
,
Nayantara Katarki
,
Ariana Bruno
,
Justin Hu
,
Brian Ritchken
,
Brendon Jackson
,
Kelvin Hu
,
Meghna Pancholi
,
Brett Clancy
,
Chris Colen
,
Fukang Wen
,
Catherine Leung
,
Siyuan Wang
,
Leon Zaruvinsky
,
Mateo Espinosa
,
Yuan He
,
Christina Delimitrou
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DOI
Leveraging Deep Learning to Improve Performance Predictability in Cloud Microservices with Seer
Performance unpredictability is a major roadblock towards cloud adoption, and has performance, cost, and revenue ramifications. …
Yu Gan
,
Yanqi Zhang
,
Kelvin Hu
,
Dailun Cheng
,
Yuan He
,
Meghna Pancholi
,
Christina Delimitrou
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Cite
Seer: Leveraging Big Data to Navigate the Complexity of Performance Debugging in Cloud Microservices
Performance unpredictability is a major roadblock towards cloud adoption, and has performance, cost, and revenue ramifications. …
Yu Gan
,
Yanqi Zhang
,
Kelvin Hu
,
Yuan He
,
Meghna Pancholi
,
Dailun Cheng
,
Christina Delimitrou
PDF
Cite
Slides
Video
DOI
An Open-Source Benchmark Suite for Microservices and Their Hardware-Software Implications for Cloud and Edge Systems
Cloud services have recently started undergoing a major shift from monolithic applications, to graphs of hundreds of loosely-coupled …
Yu Gan
,
Yanqi Zhang
,
Dailun Cheng
,
Ankitha Shetty
,
Priyal Rathi
,
Nayantara Katarki
,
Ariana Bruno
,
Justin Hu
,
Brian Ritchken
,
Brendon Jackson
,
Kelvin Hu
,
Meghna Pancholi
,
Yuan He
,
Brett Clancy
,
Chris Colen
,
Fukang Wen
,
Catherine Leung
,
Siyuan Wang
,
Leon Zaruvinsky
,
Mateo Espinosa
,
Rick Lin
,
Zhongling Liu
,
Jake Padilla
,
Christina Delimitrou
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Code
Project
Slides
Video
DOI
μqSim: Enabling Accurate and Scalable Simulation for Interactive Microservices
Current cloud services are moving away from monolithic designs and towards graphs of many looselycoupled, single-concerned …
Yanqi Zhang
,
Yu Gan
,
Christina Delimitrou
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The Architectural Implications of Cloud Microservices
Cloud services have recently undergone a shift from monolithic applications to microservices, with hundreds or thousands of …
Yu Gan
,
Christina Delimitrou
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Video
Seer: Leveraging Big Data to Navigate the Increasing Complexity of Cloud Debugging
Performance unpredictability in cloud services leads to poor user experience, degraded availability, and has revenue ramifications. …
Yu Gan
,
Meghna Pancholi
,
Dailun Cheng
,
Siyuan Hu
,
Yuan He
,
Christina Delimitrou
PDF
Cite
Slides
Secure Collaborative Spectrum Sensing: A Peer-Prediction Method
Collaborative spectrum sensing is an effective method to improve detection rates in cognitive radio networks. However, it is vulnerable …
Yu Gan
,
Chunxiao Jiang
,
Norman C. Beaulieu
,
Jian Wang
,
Yong Ren
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DOI
Incentive Attack Prevention for Collaborative Spectrum Sensing: A Peer-Prediction Method
Collaborative spectrum sensing is an effective method to improve the detection rate in cognitive radio. However, it is vulnerable to …
Yu Gan
,
Chunxiao Jiang
,
Wei Zhang
,
Norman C. Beaulieu
,
Yong Ren
PDF
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DOI
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