Y. Charlie Hu
News:
Y. Charlie Hu's research interests are in Mobile Systems, Distributed Systems, Operating Systems, and Computer Networks.
He is an IEEE Fellow and an ACM Distinguished Scientist. He received his Ph.D. in Computer Science from Harvard in 1997. He is a recipient of the Honda Initiation Grant Award, NSF CAREER Award, Purdue University College of Engineering Early Career Research Award, Purdue University Faculty Scholar, Purdue PRF Innovator Hall of Fame, and Purdue Engineering Most Impactful Faculty Inventors of 2019 and 2020. He has served as a General Co-Chair of ACM SIGCOMM 2014, and Program Committee Co-Chair of ACM MobiCom 2016, ACM SIGOPS EuroSys 2018, and IEEE ICNP 2021. Since 2010, his research group has conducted ground-breaking work on energy profiling and energy debugging on smartphones which has been widely covered by over 500 news media such as ABC News, BBC News, NBC News, Times of India, MIT Tech Review, and Scientific American. Many of the technologies have been adopted by the mobile industry and are helping to extend the battery life of hundreds of millions of smartphones. His pioneering work on smartphone energy management has been recognized with ACM SIGOPS EuroSys 2012 Best Student Paper Award, ACM MobiCom 2022 Best Community Paper Award, 2022 ACM SIGOPS EuroSys Test-of-Time Papar Award, and 2023 ACM SIGMOBILE Test-of-Time Papar Award, as well as Industry awards including Google Research Award and Qualcomm Faculty Award.
5G Networks
5G Metamorphosis: A Longitudinal Study of 5G Performance from
the Beginning (IMC 2025)
High-Fidelity Cellular Network Control-Plane Traffic Generation without Domain Knowledge (IMC 2024)
Modeling and Generating Control-Plane Traffic for Cellular Networks (IMC 2023, Best Paper Award Runner-up)
Performance of Cellular Networks on the Wheels (IMC 2023)
Can 5G mmWave Support Multi-user AR? (PAM 2022)
Mobility Support in Cellular Networks: A Measurement Study on Its Configurations and Implications (IMC 2018)
Energy Profiling, Debugging, and Analytics: The Foundation of AEM (App Energy Management)
Experience: Developing a Usable Battery Testing and Diagnostic Tool for the Mobile Industry (ACM MobiCom 2021, Best Community Paper Award)
Proactive Energy-Aware Adaptive Video Streaming on Mobile Devices (USENIX ATC 2021)
How much battery does dark mode save? An Accurate OLED Display Power Profiler for Modern Smartphones (MobiSys 2021) (press)
Why is my app draining more battery? Energy Optimization via Diffing Similar Apps (OSDI 2018)
A Fine-grained Event-based Modem Power Model for Enabling In-depth Modem Energy Drain Analysis (Sigmetrics 2018)
GfxDoctor: A Holistic Graphics Energy Profiler for Mobile Devices (EuroSys 2017)
Unsafe Time Handling in Smartphones (USENIX ATC 2016)
Smartphone Background Activities in the Wild:
Origin, Analysis and Optimization (MobiCom 2015) (read BBC and Internet-wide media coverage
100 cites Google Scholar)
Smartphone Energy Drain in the Wild:
Analysis and Implications (Sigmetrics 2015) (Podcast by Scientific American) (150 cites in Google Scholar)
On Death, Taxes, and Sleep Disorder Bugs in Smartphones (HotPower 2013)
How Much Energy Can We Save from Prefetching Ads? Energy Drain Analysis of Top 100 Apps (HotPower 2013)
Hypnos: Understanding and Treating Sleep Conflicts in Smartphones (EuroSys 2013)
Characterizing and Modeling the Impact of
Wireless Signal Strength on Smartphone Battery Drain (Sigmetrics 2013)
(280 cites in Google Scholar)
What is keeping my phone awake? Characterizing and Detecting No-Sleep Energy Bugs in Smartphone Apps (MobiSys 2012) (370 cites in Google Scholar)
Where is the energy spent inside my app? Fine Grained Energy Accounting on Smartphones with Eprof (EuroSys 2012, Best Student Paper Award, 2022 ACM SIGOPS EuroSys Test-of-Time Paper Award,
2023 ACM SIGMOBILE Test-of-Time Paper Award) (900 cites in Google Scholar)
Fine-Grained Power Modeling for Smartphones Using System Call Tracing (EuroSys 2011) (500 cites in Google Scholar)
Bootstrapping Energy Debugging on Smartphones: A First Look at Energy Bugs in Mobile Devices (HotNets 2011) (300 cites in Google Scholar)
Data Center Networking, Cloud Computing
A Case for Task Sampling based Learning for Cluster Job Scheduling (NSDI 2022)
Your Coflow has Many Flows: Sampling Them for Fun and Speed (USENIX ATC 2019)
Cloud-scale Load Balancer - Episode III: Yoda: A Highly Available Layer-7 Load Balancer (EuroSys 2016)
Cloud-scale Load Balancer - Episode II: Unlocking the Power of Locality and End-point Flexibility in Cloud Scale Load Balancer (USENIX ATC 2015)
Cloud-scale Load Balancer - Episode I:
Duet: Cloud Scale Load Balancing with Hardware and Software (SIGCOMM 2014) (250 cites)
On the impact of packet spraying in data center networks (INFOCOM 2013) (300 cites)
The Only Constant is Change: Incorporating Time Varying Network Reservations in Data Centers (SIGCOMM 2012) (380 cites in Google Scholar)
The TCP Outcast Problem: Exposing Unfairness in Data Center Networks (NSDI 2012) (120 cites)
On the Efficacy of Fine-Grained Traffic Splitting Protocols in Data Center Networks (Sigmetrics 2012 Ext. Abs.)
Latency Inflation with MPLS-based Traffic Engineering (IMC 2011)
Optimizing Cost and Performance in Online Service Provider Networks (NSDI 2010) (170 cites in Google Scholar)
Operating Systems / Buffer Cache Management
The Performance Impact of Kernel Prefetching on Buffer Cache Replacement Algorithms (SIGMETRICS 2005, IEEE TC 2007, Software Release)
(175 cites in Google Scholar)
Program Counter Based Pattern Classification in Buffer Caching
(OSDI 2004) (150 cites in Google Scholar)
Program Counter Based Prediction Techniques for Dynamic Power Management (HPCA 2004, IEEE TC 2006)
Wireless Networking
Pacifier: High-Throughput, Reliable Multicast without "Crying Babies" in Wireless Mesh Networks. (ToN 2012, Software Release) (130 cites Google Scholar)
CCACK: Efficient Network Coding Based Opportunistic Routing through Cumulative Coded Acknowledgments (ToN 2011) (240 cites Google Scholar)
Context Based Routing: Technique, Applications and Experience (NSDI 2008)
How to evaluate exotic wireless routing protocols? (HotNets 2008)
Computer Networks: BGP Hijacking
iSPY: Detecting IP Prefix Hijacking on My Own (SIGCOMM 2008, ToN 2010)
(240 cites in Google Scholar)
Practical Defenses Against BGP Prefix Hijacking (CoNEXT 2007) (110 cites)
Understanding Network Delay Changes Caused by Routing Events (SIGMETRICS 2007) (120 cites)
On the Impact of Research Network Based Testbeds on Wide-area Experiments (IMC 2006)
Exploiting the Synergy between Peer-to-Peer and Mobile Ad Hoc Networks (HotOS 2003) (160 cites in Google Scholar)
Runtime Support for Distributed Sharing in Safe Languages (ACM TOCS 2003)
o o O O O O O O O
o _______
Y__'_|_|_|_| --++++++--
|__|__| GO ||| BOILERS! |
(|____|_____|:|__________|
//oo-----oo oo---oo