Byung-Gon Chun (전병곤)
FriendliAI
Seoul National University

Biography

Hi, there. I am the CEO and Founder of FriendliAI. I am also a Professor in the Computer Science and Engineering (CSE) Department at Seoul National University (SNU), from which I am currently on leave. My research group at SNU works on machine learning systems.

FriendliAI is a start-up that supercharges building and serving generative AI. We pioneered numerous inference and training optimizations including iteration batching (aka continuous batching). Try out Friendli Suite today to cut GPU costs and speed up your LLMs.

I am a recipient of the EuroSys 2021 Test of Time Award, the 2020 ACM SIGOPS Hall of Fame Award, the 2020 Google Research Award, the 2019 SNU Education Award, the 2018 Amazon Machine Learning Research Award, the 2017 Facebook Caffe2 Research Award, the 2017 Amazon Cloud Credits for Research Award, the 2015 Naver Young Faculty Award, and the 2014 Microsoft Research Faculty Fellowship.

I was a visiting researcher at Naver in Spring and Summer 2020, and I was a visiting research scientist at Facebook, Menlo Park from mid 2016 to early 2017. Before joining SNU in 2013, I was a Principal Scientist at Microsoft. Before joining Microsoft, I led the systems research group at Yahoo! Research Silicon Valley for six months and worked as a Research Scientist for one and half years. My Yahoo! research projects include Mobius (data management platform for cloud-connected mobile apps) and workload-driven big data system designs. Before joining Yahoo! Research, I was a Research Scientist at Intel Research Berkeley from 2008 to 2011. I worked on CloneCloud and TaintDroid projects. Prior to that, I was a postdoctoral researcher at the International Computer Science Institute. I have a Ph.D. in Computer Science from the University of California, Berkeley, an M.S. in Computer Science from Stanford University, and a B.S. and an M.S. from the Electronic Engineering Department at Seoul National University.

At SNU, I am teaching the following classes: Artificial Intelligence and Big Data Systems, Software Development Principles and Practices, and Operating Systems. In the Software Development Principles and Practices class, I teach how to build large-scale software. Students do semester-long team projects to develop web services they propose. You can find information about the classes here: aisys2023, swpp2022, swpp2021, swpp2020, swpp2019, and swpp2018.

Service - program committee member

ACM SOSP 2024, USENIX OSDI 2024, USENIX OSDI 2023, ACM APSys 2023 (TPC co-chair), USENIX OSDI 2022, ACM APSys 2022, ACM SOSP 2021, USENIX ATC 2021, USENIX OSDI 2020, EuroSys 2020, ACM APSys 2020, ACM APNet 2020, IEEE ICDCS 2020, ACM APSys 2019, IEEE ICDCS 2019, ACM SoCC 2018, ACM APSys 2018, USENIX HotCloud 2018, IEEE ICDCS 2018, ACM SOSP 2017, ACM APSys 2017, ACM EuroSys 2017, WWW 2017, IEEE ICDCS 2017, USENIX OSDI 2016, USENIX ATC 2016, USENIX HotCloud 2016, IEEE ICDCS 2016, IEEE INFOCOM 2016, ACM APSys 2015, USENIX Security 2015, IEEE ICDCS 2015, IEEE IC2E 2015, HotCloud 2014, ACM MCS 2014, IEEE ICDCS 2014, WWW 2014, ACM SOCC 2013, ACM ASPLOS 2013, IEEE ICPADS 2013 (Vice Chair), WISA 2013, ACM SOCC 2012, ACM CCSW 2012, HotCloud 2012, USENIX NSDI 2011, HotCloud 2011, ACM CCSW 2011, ACM MobiHeld 2011, HotDep 2011, WRAITS 2011, ACM SOCC 2010, HotDep 2010, WRAITS 2010, ACM MCS 2010

Publications

You can find my Google Scholar information here.
  1. Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee. Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys 2024.
  2. Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun. Blaze: Holistic Caching for Iterative Data Processing. EuroSys 2024, April 2024.
  3. Hyeonmin Ha, Jihye Lee, Wookje Han, Byung-Gon Chun. Meta-Learning of Prompt Generation for Lightweight Prompt Engineering on Language-Model-as-a-Service. EMNLP 2023 (Findings), December 2023.
  4. Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun. BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. The Fortieth International Conference on Machine Learning (ICML 2023) (Oral), July 2023.
  5. Won Wook Song, Taegeon Um, Sameh Elnikety, Myeongjae Jeon, Byung-Gon Chun. Sponge: Fast Reactive Scaling for Stream Processing with Serverless Frameworks. USENIX ATC 2023, July 2023.
  6. Hyeonmin Ha, Soyoung Jung, Jinsol Park, Minjoon Seo, Seung-won Hwang, Byung-Gon Chun. Two Examples are Better than One: Context Regularization for Gradient-based Prompt Tuning. The 61st Annual Meeting of the Association for Computational Linguistics (ACL 2023) (Findings), July 2023.
  7. Gyewon Lee, Jaewoo Maeng, Jinsol Park, Jangho Seo, Haeyoon Cho, Youngseok Yang, Taegeon Um, Jongsung Lee, Jae W. Lee, Byung-Gon Chun. FlowKV: A Semantic-Aware Store for Large-Scale State Management of Stream Processing Engines. EuroSys 2023, May 2023.
  8. Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun. Hippo: Sharing Computations in Hyper-Parameter Optimization. 48th International Conference on Very Large Databases (VLDB 2022), September 2022.
  9. Gyeong-In Yu, Saeed Amizadeh, Sehoon Kim, Artidoro Pagnoni, Ce Zhang, Byung-Gon Chun, Markus Weimer, Matteo Interlandi. WindTunnel: Towards Differentiable ML Pipelines Beyond a Single Model. 48th International Conference on Very Large Databases (VLDB 2022), September 2022.
  10. Won Wook Song, Myeongjae Jeon, Byung-Gon Chun. SWAN: WAN-aware Stream Processing on Geographically-distributed Clusters. 13th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2022), August 2022.
  11. Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun. Orca: A Distributed Serving System for Transformer-Based Generative Models. 16th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2022), July 2022. (research page, US and Korea patents owned by FriendliAI)
  12. Jeongyoon Eo, Zhixiong Niu, Wenxue Cheng, Francis Y. Yan, Rui Gao, Jorina Kardhashi, Scott Inglis, Michael Revow, Byung-Gon Chun, Peng Cheng, Yongqiang Xiong. OpenNetLab: Open Platform for RL-based Congestion Control for Real-Time Communications. 6th Asia-Pacific Workshop on Networking (APNet 2022).
  13. Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun. Band: Coordiniated Multi-DNN Inference on Heterogeneous Processors. 20th ACM International Conference on Mobile Systems, Applications, and Services (MobiSys 2022), June 2022.
  14. Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun. SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. 10th International Conference on Learning Representations (ICLR 2022), April 2022.
  15. Taebum Kim, Eunji Jeong, Geon-Woo Kim, Yunmo Koo, Sehoon Kim, Gyeong-In Yu, Byung-Gon Chun. Terra: Imperative-Symbolic Co-Execution of Imperative Deep Learning Programs. Thirty-fifth Conference on Neural Information Processing Systems (NeurIPS 2021), December 2021.
  16. Dohyeon Lee, Jaeseong Lee, Gyewon Lee, Byung-Gon Chun, Seung-Won Hwang. SCOPA: Soft Code-Switching and Pairwise Alignment for Zero-shot Cross-lingual Transfer. 30th ACM International Conference on Information and Knowledge Management (CIKM 2021), November 2021.
  17. Won Wook Song, Youngseok Yang, Jeongyoon Eo, Jangho Seo, Joo Yeon Kim, Sanha Lee, Gyewon Lee, Taegeon Um, Haeyoon Cho, Byung-Gon Chun. Apache Nemo: A Framework for Optimizing Distributed Data Processing. ACM Transactions on Computer Systems (TOCS), November 2021.
  18. Youngseok Yang, Taesoo Kim, Byung-Gon Chun. Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. 15th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2021), July 2021.
  19. Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyunggeun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun. Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyunggeun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun. 2021 Annual Technical Conference (ATC 2021), July 2021.
  20. Taegeon Um, Gyewon Lee, Byung-Gon Chun. Pluto: High-Performance IoT-Aware Stream Processing. IEEE 41th International Conference on Distributed Computing Systems (ICDCS 2021), July 2021.
  21. Woo-Yeon Lee, Yunseong Lee, Wonwook Song, Youngseok Yang, Joo Yeon Kim, Byung-Gon Chun. Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. IEEE 41th International Conference on Distributed Computing Systems (ICDCS 2021), July 2021.
  22. Woosuk Kwon*, Gyeong-In Yu*, Eunji Jeong, Byung-Gon Chun (*equal contribution). Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. NeurIPS 2020 (Spotlight), December 2020.
  23. Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun. Accelerating Multi-Model Inference by Merging DNNs of Different Weights. arXiv:2009.13062, September 2020.
  24. Ahnjae Shin, Do Yoon Kim, Joo Seong Jeong, Byung-Gon Chun. Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. arXiv:2006.11972, June 2020.
  25. Ahnjae Shin, Dong-Jin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun. Stage-based Hyper-parameter Optimization for Deep Learning. Systems for ML Workshop at NeurIPS 2019, December 2019.
  26. Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dong-Jin Shin, Taebum Kim, Byung-Gon Chun. Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. Operating Systems Review, July 2019.
  27. Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Joo Yeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun. Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. ATC 2019, July 2019.
  28. Woo-Yeon Lee, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Joo Yeon Kim, Ho Jin Park, Beomyeol Jeon, Wonwook Song, Gunhee Kim, Markus Weimer, Brian Cho, Byung-Gon Chun. Automating System Configuration of Distributed Machine Learning. ICDCS 2019, July 2019.
  29. Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi. Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. arXiv:1906.03822, June 2019.
  30. Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun. Demonstration of JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. SysML Demo 2019, April 2019.
  31. Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun. Parallax: Sparsity-aware Data Parallel Training of Deep Neural Networks. EuroSys 2019, March 2019.
  32. Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Byung-Gon Chun. JANUS: Fast and Flexible Deep Learning via Symbolic Graph Execution of Imperative Programs. 16th Symposium on Networked Systems Design and Implementation (NSDI 2019), February 2019.
  33. Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer, Matteo Interlandi. From the Edge to the Cloud: Model Serving in ML .NET. IEEE Data Engineering Bulletin, December 2018.
  34. Gyeong-In Yu, Saeed Amizadeh, Byung-Gon Chun, Markus Weimer, Matteo Interlandi. Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. Systems for ML Workshop at NIPS 2018, December 2018.
  35. Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Marco Domenico Santambrogio, Markus Weimer, Matteo Interlandi. PRETZEL: Opening the Black Box of Machine Learning Prediction Serving Systems. 13th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2018), October 2018.
  36. Gyewon Lee, Jeongyoon Eo, Jangho Seo, Taegeon Um, Byung-Gon Chun. High-Performance Stateful Stream Processing on Solid-State Drives. 9th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2018), August 2018.
  37. Eunji Jeong*, Joo Seong Jeong*, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun (*equal contribution). Improving the Expressiveness of Deep Learning Frameworks with Recursion. EuroSys 2018, April 2018.
  38. Yunseong Lee, Alberto Scolari, Matteo Interlandi, Markus Weimer, Byung-Gon Chun. Towards High-Performance Prediction Serving Systems. SysML Conference, February 2018.
  39. Yunseong Lee, Alberto Scolari, Matteo Interlandi, Markus Weimer, Byung-Gon Chun. Towards High-Performance Prediction Serving Systems. ML Systems Workshop at NIPS 2017, December 2017.
  40. Soojeong Kim, Eunji Jeong, Joo Seong Jeong, Gyeongin Yu, Hojin Park, Byung-Gon Chun. Auto-Parallelizing Deep Learning for Multi-machine, Multi-GPU Environments. Workshop on AI Systems at Symposium on Operating Systems Principles (SOSP), October 2017.
  41. Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gye-Won Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Tae-Geon Um, Julia Wang, Markus Weimer, Markus Weimer, Youngseok Yang. Apache REEF: Retainable Evaluator Execution Framework. ACM Transactions on Computer Systems (TOCS), October 2017.
  42. Taegeon Um, Gyewon Lee, Sanha Lee, Kyungtae Kim, Byung-Gon Chun. Scaling Up IoT Stream Processing. 8th ACM SIGOPS Asia-Pacific Workshop on Systems (APSys 2017), September 2017.
  43. Youngseok Yang, Geon-Woo Kim, Won Wook Song, Yunseong Lee, Andrew Chung, Zhengping Qian, Brian Cho, Byung-Gon Chun. Pado: A Data Processing Engine for Harnessing Transient Resources in Datacenters. ACM EuroSys 2017, April 2017.
  44. Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun. Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. ACM Asia Conference on Computer and Communications Security (ASIACCS) 2017.
  45. Byung-Gon Chun, Brian Cho, Beomyeol Jeon, Joo Seong Jeong, Gunhee Kim, Joo Yeon Kim, Woo-Yeon Lee, Yun Seong Lee, Markus Weimer, Gyeong-In Yu. Dolphin: Runtime Optimization for Distributed Machine Learning. ICML ML Sys ’16 workshop, June 2016.
  46. Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha. Collaborative Analytics for Data Silos. 32nd IEEE International Conference on Data Engineering (ICDE 2016).
  47. Daejin Choi, Jinyoung Han, Taejoong Chung, Yong-Yeol Ahn, Byung-Gon Chun, Ted "Taekyoung" Kwon. Characterizing Conversation Patterns in Reddit: From the Perspectives of Content Properties and User Participation Behaviors. ACM Conference on Online Social Networks (COSN 2015), November 15.
  48. Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek. Mantis: Efficient Predictions of Execution Time, Energy Usage, Memory Usage and Network Usage on Smart Mobile Devices. IEEE Transactions on Mobile Computing, vol. 14, no. 10, October 2015.
  49. Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi , Sergiy Matusevych, Brandon Myers, Shravan Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang. REEF: Retainable Evaluator Execution Framework.  ACM SIGMOD, June 2015.
  50. Joo Seong Jeong, Woo-Yeon Lee, Yunseong Lee, Youngseok Yang, Brian Cho, Byung-Gon Chun. Elastic Memory: Bring Elasticity Back To In-Memory Big Data Analytics. HotOS 2015, May 2015.
  51. Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy, Scott Shenker, Byung-Gon Chun. Making Sense of Performance in Data Analytics Frameworks. 12th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2015), May 2015.
  52. William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick McDaniel, Anmol Sheth. TaintDroid: An Information-Flow Tracking System for Real-time Privacy Monitoring on Smartphones. ACM Transactions on Computer Systems (TOCS), June 2014.
  53. Jinyoung Han, Daejin Choi, Byung-Gon Chun, Ted "Taekyoung" Kwon, Hyun-chul Kim, Yanghee Choi. Collecting, Organizing and Sharing Pins in Pinterest: Interest-driven or Social-driven? ACM SIGMETRICS, June 2014.
  54. William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick McDaniel, Anmol N. Sheth. TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. Communications of the ACM (CACM), Research Highlights, March 2014.
  55. Wook Song, Nosub Sung, Byung-Gon Chun, Jihong Kim. Reducing Energy Consumption of Smartphones Using User-Perceived Response Time Analysis. 15th Workshop on Mobile Computing Systems and Applications (HotMobile 2014), February 2014.
  56. Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Sergiy Matusevych, Brandon Myers, Shravan Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Josh Rosen, Russell Sears, Markus Weimer. REEF: Retainable Evaluator Execution Framework (Demo Paper). 39th International Conference on Very Large Data Bases (VLDB 2013), August 2013.
  57. Yongin Kwon, Sangmin Lee, Hayoon Yi, Donghyun Kwon, Seungjun Yang, Byung-Gon Chun, Ling Huang, Petros Maniatis, Mayur Naik, Yunheung Paek. Mantis: Automatic Performance Prediction for Smartphone Applications. 2013 USENIX Annual Technical Conference (USENIX 2013), June 2013.
  58. Sangjin Han, Scott Marshall, Byung-Gon Chun, Sylvia Ratnasamy. MegaPipe: A New Programming Interface for Scalable Network I/O. 10th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2012), October 2012.
  59. Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan. Mobius: Unified Messaging and Data Service for Mobile Apps. 10th International Conference on Mobile Systems, Applications, and Services (MobiSys 2012), June 2012.
  60. Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung. Automated Security Validation of Mobile Apps at App Markets. 2nd International Workshop on Mobile Cloud Computing and Services (MCS 2011), June 2011.
  61. Jayanthkumar Kannan, Petros Maniatis, Byung-Gon Chun. Secure Data Preservers for Web Services. 2nd USENIX Conference on Web Application Development (WebApps 2011), June 2011.
  62. Gunho Lee, Byung-Gon Chun, Randy Katz. Heterogeneity-Aware Resource Allocation and Scheduling in the Cloud. 3rd Workshop on Hot Topics in Cloud Computing (HotCloud 2011), June 2011.
  63. Jayanthkumar Kannan, Gautam Altekar, Petros Maniatis, Byung-Gon Chun. Making Programs Forget: Enforcing Lifetime For Sensitive Data. HotOS 2011, May 2011.
  64. Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti. CloneCloud: Elastic Execution between Mobile Device and Cloud. 6th European Conference on Computer Systems (EuroSys 2011), April 2011.
  65. Petros Maniatis, Byung-Gon Chun. Small Trusted Primitives for Dependable Systems. Operating Systems Review, January 2011.
  66. Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik. Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. 24th Annual Conference on Neural Information Processing Systems (NIPS 2010).
  67. William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick McDaniel, Anmol N. Sheth. TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. 9th USENIX Symposium on Operating Systems Design and Implementation (OSDI 2010), October 2010.
  68. Byung-Gon Chun, Petros Maniatis. Dynamically Partitioning Applications between Weak Devices and Clouds. 1st ACM Workshop on Mobile Cloud Computing and Services (MCS 2010), June 2010.
  69. Byung-Gon Chun, Gianluca Iannaccone, Giuseppe Iannaccone, Randy Katz, Gunho Lee, and Luca Niccolini. An Energy Case for Hybrid Datacenters. Operating Systems Review, March 2010.
  70. Lucian Popa, Byung-Gon Chun, Ion Stoica, Jaideep Chandrashekar, and Nina Taft. Macroscope: End-Point Approach to Networked Application Dependency Discovery. 5th ACM International Conference on Emerging Networking Experiments and Technologies (CoNEXT 2009).
  71. Mihai Dobrescu, Norbert Egi, Katerina Argyraki, Byung-Gon Chun, Kevin Fall, Gianluca Iannaccone, Allan Knies, Maziar Manesh, and Sylvia Ratnasamy. RouteBricks: Exploiting Parallelism to Scale Software Routers. 22nd ACM Symposium on Operating Systems Principles (SOSP 2009), October 2009. Awarded Best Paper!
  72. Byung-Gon Chun, Gianluca Iannaccone, Giuseppe Iannaccone, Randy Katz, Gunho Lee, and Luca Niccolini. An Energy Case for Hybrid Datacenters. 2nd Workshop on Hot Topics in Power-Aware Computing and Systems (HotPower 2009), October 2009.
  73. Byung-Gon Chun, Petros Maniatis. Augmented Smart Phone Applications Through Clone Cloud Execution. 12th Workshop on Hot Topics in Operating Systems (HotOS XII), May 2009.
  74. Byung-Gon Chun, Petros Maniatis, Scott Shenker, and John Kubiatowicz. Tiered Fault Tolerance for Long-Term Integrity. 7th USENIX Conference on File and Storage Technologies (FAST 2009), February 2009.
  75. Andrey Ermolinskiy, Daekyeong Moon, Byung-Gon Chun, and Scott Shenker. Minuet: Rethinking Concurrency Control in Storage Area Networks. 7th USENIX Conference on File and Storage Technologies (FAST 2009), February 2009.
  76. Katerina Argyraki, Salman Baset, Byung-Gon Chun, Kevin Fall, Gianluca Iannaccone, Allan Knies, Eddie Kohler, Maziar Manesh, Sergiu Nedveschi, and Sylvia Ratnasamy. Can Software Routers Scale? ACM SIGCOMM Workshop on Programmable Routers for Extensible Services of Tomorrow (PRESTO 2008), August 2008.
  77. Byung-Gon Chun, Petros Maniatis, and Scott Shenker. Diverse Replication for Single-Machine Byzantine-Fault Tolerance. USENIX Annual Technical Conference (USENIX 2008), June 2008.
  78. Byung-Gon Chun, Sylvia Ratnasamy, and Eddie Kohler. NetComplex: A Complexity Metric for Networked System Designs. 5th USENIX Symposium on Networked Systems Design and Implementation (NSDI 2008), April 2008.
  79. Byung-Gon Chun, Petros Maniatis, Scott Shenker, and John Kubiatowicz. Attested Append-Only Memory: Making Adversaries Stick to their Word. 21st ACM Symposium on Operating Systems Principles (SOSP 2007), October 2007.
  80. Teemu Koponen, Mohit Chawla, Byung-Gon Chun, Andrey Ermolinskiy, Kye Hyun Kim, Scott Shenker, and Ion Stoica. A Data-Oriented (and Beyond) Network Architecture. ACM SIGCOMM 2007, August 2007.
  81. Cheng Tien Ee, Byung-Gon Chun, Vijay Ramachandran, Kaushik Lakshminarayanan, and Scott Shenker. Resolving Inter-Domain Policy Disputes. ACM SIGCOMM 2007, August 2007.
  82. Hakim Weatherspoon, Patrick Eaton, Byung-Gon Chun, and John Kubiatowicz. Antiquity: Exploiting a Secure Log for Wide-Area Distributed Storage. 2nd European Conference on Computer Systems (EuroSys 2007), March 2007.
  83. Byung-Gon Chun, Frank Dabek, Andreas Haeberlen, Emil Sit, Hakim Weatherspoon, M. Frans Kaashoek, John Kubiatowicz, and Robert Morris. Efficient Replica Maintenance for Distributed Storage Systems. 3rd Symposium on Networked Systems Design and Implementation (NSDI), May 2006.
  84. Byung-Gon Chun, Peter Wu, Hakim Weatherspoon, and John Kubiatowicz. ChunkCast: An Anycast Service for Large Content Distribution. International Workshop on Peer-to-Peer Systems (IPTPS), February 2006.
  85. Emil Sit, Andreas Haeberlen, Frank Dabek, Byung-Gon Chun, Hakim Weatherspoon, Robert Morris, M. Frans Kaashoek, and John Kubiatowicz. Proactive Replication for Data Durability. International Workshop on Peer-to-Peer Systems (IPTPS), February 2006.
  86. Sean Rhea, Byung-Gon Chun, John Kubiatowicz, and Scott Shenker. Fixing the Embarrassing Slowness of OpenDHT on PlanetLab. USENIX Workshop on Real, Large Distributed Systems (WORLDS), Dec. 2005. Awarded Best Paper!
  87. Byung-Gon Chun, Ben Y. Zhao, and John Kubiatowicz. Impact of Neighbor Selection on Performance and Resilience of Structured P2P Networks. International Workshop on Peer-to-Peer Systems (IPTPS), February 2005.
  88. Byung-Gon Chun, Kamalika Chaudhuri, Hoeteck Wee, Marco Barreno, Christos H. Papadimitriou, and John Kubiatowicz. Selfish Caching in Distributed Systems: A Game-Theoretic Analysis. ACM Symposium on Principles of Distributed Computing (PODC), July 2004.
  89. Byung-Gon Chun, Rodrigo Fonseca, Ion Stoica, and John Kubiatowicz. Characterizing Selfishly Constructed Overlay Routing Networks. IEEE International Conference on Computer Communications (INFOCOM), March 2004.
  90. Byung-Gon Chun and Mary Baker. Evaluation of Packet Scheduling Algorithms in Mobile Ad Hoc Networks. ACM Mobile Computing and Communications Review (MC2R), Volume 6, Number 3, July 2002.
  91. Byung-Gon Chun and Byeong Gi Lee. Auxiliary Timeout and Selective Packet Discard Schemes to Improve TCP Performance in PCN Environment. IEEE International Conference on Communications (ICC), June 1997.