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2020 – today

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2024
[c65]
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Won Wook Song, Jeongyoon Eo, Taegeon Um, Myeongjae Jeon, Byung-Gon Chun:
Blaze: Holistic Caching for Iterative Data Processing. EuroSys 2024: 370-386
[c64]
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Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee:
Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys 2024: 99-112
[c63]
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Jingyu Lee, Hyunsoo Kim, Minjae Kim, Byung-Gon Chun, Youngki Lee:
Poster: Maestro: The Analysis-Simulation Integrated Framework for Mixed Reality. MobiSys 2024: 670-671
2023
[c62]
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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. ACL (Findings) 2023: 3335-3350
[c61]
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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 (Findings) 2023: 2433-2445
[c60]
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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: 768-783
[c59]
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Taebum Kim, Hyoungjoo Kim, Gyeong-In Yu, Byung-Gon Chun:
BPipe: Memory-Balanced Pipeline Parallelism for Training Large Language Models. ICML 2023: 16639-16653
[c58]
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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: 301-314
2022
[j13]
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Ahnjae Shin, Joo Seong Jeong, Do Yoon Kim, Soyoung Jung, Byung-Gon Chun:
Hippo: Sharing Computations in Hyper-Parameter Optimization. Proc. VLDB Endow. 15(5): 1038-1052 (2022)
[c57]
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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. APNet 2022: 70-75
[c56]
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Won Wook Song, Myeongjae Jeon, Byung-Gon Chun:
SWAN: WAN-aware stream processing on geographically-distributed clusters. APSys 2022: 78-84
[c55]
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Hyeonmin Ha, Ji-Hoon Kim, Semin Park, Byung-Gon Chun:
SUMNAS: Supernet with Unbiased Meta-Features for Neural Architecture Search. ICLR 2022
[c54]
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Joo Seong Jeong, Jingyu Lee, Donghyun Kim, Changmin Jeon, Changjin Jeong, Youngki Lee, Byung-Gon Chun:
Band: coordinated multi-DNN inference on heterogeneous mobile processors. MobiSys 2022: 235-247
[c53]
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Gyeong-In Yu, Joo Seong Jeong, Geon-Woo Kim, Soojeong Kim, Byung-Gon Chun:
Orca: A Distributed Serving System for Transformer-Based Generative Models. OSDI 2022: 521-538
[i13]
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  - journals/corr/abs-2201-09210
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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. CoRR abs/2201.09210 (2022)
2021
[j12]
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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 Modele. Proc. VLDB Endow. 15(1): 11-20 (2021)
[c52]
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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. CIKM 2021: 3176-3180
[c51]
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Taegeon Um, Gyewon Lee, Byung-Gon Chun:
Pluto: High-Performance IoT-Aware Stream Processing. ICDCS 2021: 79-91
[c50]
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Woo-Yeon Lee, Yunseong Lee, Won Wook Song, Youngseok Yang, Jooyeon Kim, Byung-Gon Chun:
Harmony: A Scheduling Framework Optimized for Multiple Distributed Machine Learning Jobs. ICDCS 2021: 841-851
[c49]
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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. NeurIPS 2021: 1468-1480
[c48]
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  - conf/osdi/YangKC21
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Youngseok Yang, Taesoo Kim, Byung-Gon Chun:
Finding Consensus Bugs in Ethereum via Multi-transaction Differential Fuzzing. OSDI 2021: 349-365
[c47]
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Gyewon Lee, Irene Lee, Hyeonmin Ha, Kyung-Geun Lee, Hwarim Hyun, Ahnjae Shin, Byung-Gon Chun:
Refurbish Your Training Data: Reusing Partially Augmented Samples for Faster Deep Neural Network Training. USENIX ATC 2021: 537-550
2020
[j11]
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  - journals/tocs/SongYESKLLU0C20
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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 Trans. Comput. Syst. 38(3-4): 5:1-5:31 (2020)
[c46]
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Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun:
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. NeurIPS 2020
[i12]
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  - journals/corr/abs-2006-11972
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Ahnjae Shin, Do Yoon Kim, Joo Seong Jeong, Byung-Gon Chun:
Hippo: Taming Hyper-parameter Optimization of Deep Learning with Stage Trees. CoRR abs/2006.11972 (2020)
[i11]
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  - journals/corr/abs-2009-13062
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Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Yunseong Lee, Byung-Gon Chun:
Accelerating Multi-Model Inference by Merging DNNs of Different Weights. CoRR abs/2009.13062 (2020)
[i10]
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  - journals/corr/abs-2012-02732
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Woosuk Kwon, Gyeong-In Yu, Eunji Jeong, Byung-Gon Chun:
Nimble: Lightweight and Parallel GPU Task Scheduling for Deep Learning. CoRR abs/2012.02732 (2020)

2010 – 2019

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2019
[j10]
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  - journals/sigops/JeongCYJSKC19
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Eunji Jeong, Sungwoo Cho, Gyeong-In Yu, Joo Seong Jeong, Dongjin Shin, Taebum Kim, Byung-Gon Chun:
Speculative Symbolic Graph Execution of Imperative Deep Learning Programs. ACM SIGOPS Oper. Syst. Rev. 53(1): 26-33 (2019)
[c45]
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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: 43:1-43:15
[c44]
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Woo-Yeon Lee, Markus Weimer, Brian Cho, Byung-Gon Chun, Yunseong Lee, Joo Seong Jeong, Gyeong-In Yu, Jooyeon Kim, Hojin Park, Beomyeol Jeon, Won Wook Song, Gunhee Kim:
Automating System Configuration of Distributed Machine Learning. ICDCS 2019: 2057-2067
[c43]
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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. NSDI 2019: 453-468
[c42]
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Youngseok Yang, Jeongyoon Eo, Geon-Woo Kim, Jooyeon Kim, Sanha Lee, Jangho Seo, Won Wook Song, Byung-Gon Chun:
Apache Nemo: A Framework for Building Distributed Dataflow Optimization Policies. USENIX ATC 2019: 177-190
[i9]
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  - journals/corr/abs-1906-03822
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Gyeong-In Yu, Saeed Amizadeh, Artidoro Pagnoni, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
Making Classical Machine Learning Pipelines Differentiable: A Neural Translation Approach. CoRR abs/1906.03822 (2019)
[i8]
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  - journals/corr/abs-1911-10504
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Ahnjae Shin, Dongjin Shin, Sungwoo Cho, Do Yoon Kim, Eunji Jeong, Gyeong-In Yu, Byung-Gon Chun:
Stage-based Hyper-parameter Optimization for Deep Learning. CoRR abs/1911.10504 (2019)
2018
[j9]
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Yunseong Lee, Alberto Scolari, Byung-Gon Chun, Markus Weimer, Matteo Interlandi:
From the Edge to the Cloud: Model Serving in ML.NET. IEEE Data Eng. Bull. 41(4): 46-53 (2018)
[c41]
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Gyewon Lee, Jeongyoon Eo, Jangho Seo, Taegeon Um, Byung-Gon Chun:
High-Performance Stateful Stream Processing on Solid-State Drives. APSys 2018: 9:1-9:7
[c40]
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Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun:
Improving the expressiveness of deep learning frameworks with recursion. EuroSys 2018: 19:1-19:13
[c39]
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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. OSDI 2018: 611-626
[i7]
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  - journals/corr/abs-1808-02621
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Soojeong Kim, Gyeong-In Yu, Hojin Park, Sungwoo Cho, Eunji Jeong, Hyeonmin Ha, Sanha Lee, Joo Seong Jeong, Byung-Gon Chun:
Parallax: Automatic Data-Parallel Training of Deep Neural Networks. CoRR abs/1808.02621 (2018)
[i6]
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  - journals/corr/abs-1809-00832
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Eunji Jeong, Joo Seong Jeong, Soojeong Kim, Gyeong-In Yu, Byung-Gon Chun:
Improving the Expressiveness of Deep Learning Frameworks with Recursion. CoRR abs/1809.00832 (2018)
[i5]
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  - journals/corr/abs-1810-06115
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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. CoRR abs/1810.06115 (2018)
[i4]
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  - journals/corr/abs-1812-01329
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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. CoRR abs/1812.01329 (2018)
2017
[j8]
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Byung-Gon Chun, Tyson Condie, Yingda Chen, Brian Cho, Andrew Chung, Carlo Curino, Chris Douglas, Matteo Interlandi, Beomyeol Jeon, Joo Seong Jeong, Gyewon Lee, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Mariia Mykhailova, Shravan M. Narayanamurthy, Joseph Noor, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Taegeon Um, Julia Wang, Markus Weimer, Youngseok Yang:
Apache REEF: Retainable Evaluator Execution Framework. ACM Trans. Comput. Syst. 35(2): 5:1-5:31 (2017)
[c38]
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Taegeon Um, Gyewon Lee, Sanha Lee, Kyungtae Kim, Byung-Gon Chun:
Scaling Up IoT Stream Processing. APSys 2017: 25:1-25:7
[c37]
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Taehun Kim, Hyeonmin Ha, Seoyoon Choi, Jaeyeon Jung, Byung-Gon Chun:
Breaking Ad-hoc Runtime Integrity Protection Mechanisms in Android Financial Apps. AsiaCCS 2017: 179-192
[c36]
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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. EuroSys 2017: 575-588
2016
[c35]
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Jinkyu Kim, Heonseok Ha, Byung-Gon Chun, Sungroh Yoon, Sang K. Cha:
Collaborative analytics for data silos. ICDE 2016: 743-754
2015
[j7]
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  - journals/tmc/KwonLYKYCHMNP15
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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 Trans. Mob. Comput. 14(10): 2059-2072 (2015)
[c34]
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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. COSN 2015: 233-243
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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
[c32]
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Kay Ousterhout, Ryan Rasti, Sylvia Ratnasamy, Scott Shenker, Byung-Gon Chun:
Making Sense of Performance in Data Analytics Frameworks. NSDI 2015: 293-307
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Markus Weimer, Yingda Chen, Byung-Gon Chun, Tyson Condie, Carlo Curino, Chris Douglas, Yunseong Lee, Tony Majestro, Dahlia Malkhi, Sergiy Matusevych, Brandon Myers, Shravan M. Narayanamurthy, Raghu Ramakrishnan, Sriram Rao, Russell Sears, Beysim Sezgin, Julia Wang:
REEF: Retainable Evaluator Execution Framework. SIGMOD Conference 2015: 1343-1355
2014
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William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol Sheth:
TaintDroid: an information flow tracking system for real-time privacy monitoring on smartphones. Commun. ACM 57(3): 99-106 (2014)
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William Enck, Peter Gilbert, Seungyeop Han, Vasant Tendulkar, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol N. Sheth:
TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. ACM Trans. Comput. Syst. 32(2): 5:1-5:29 (2014)
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Jinyoung Han, Daejin Choi, Byung-Gon Chun, Ted Taekyoung Kwon, Hyunchul Kim, Yanghee Choi:
Collecting, organizing, and sharing pins in pinterest: interest-driven or social-driven? SIGMETRICS 2014: 15-27
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Wook Song, Nosub Sung, Byung-Gon Chun, Jihong Kim:
Reducing energy consumption of smartphones using user-perceived response time analysis. HotMobile 2014: 20:1-20:6
2013
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Byung-Gon Chun, Tyson Condie, Carlo Curino, Raghu Ramakrishnan, Russell Sears, Markus Weimer:
REEF: Retainable Evaluator Execution Framework. Proc. VLDB Endow. 6(12): 1370-1373 (2013)
[c28]
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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. USENIX ATC 2013: 297-308
2012
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  - conf/mobisys/ChunCSSMR12
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Byung-Gon Chun, Carlo Curino, Russell Sears, Alexander Shraer, Samuel Madden, Raghu Ramakrishnan:
Mobius: unified messaging and data serving for mobile apps. MobiSys 2012: 141-154
[c26]
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Sangjin Han, Scott Marshall, Byung-Gon Chun, Sylvia Ratnasamy:
MegaPipe: A New Programming Interface for Scalable Network I/O. OSDI 2012: 135-148
2011
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Petros Maniatis, Byung-Gon Chun:
Small trusted primitives for dependable systems. ACM SIGOPS Oper. Syst. Rev. 45(1): 126-141 (2011)
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Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik, Ashwin Patti:
CloneCloud: elastic execution between mobile device and cloud. EuroSys 2011: 301-314
[c24]
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Jayanthkumar Kannan, Byung-Gon Chun:
Making Programs Forget: Enforcing Lifetime for Sensitive Data. HotOS 2011
[c23]
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Jayanthkumar Kannan, Petros Maniatis, Byung-Gon Chun:
Secure Data Preservers for Web Services. WebApps 2011
2010
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Byung-Gon Chun, Gianluca Iannaccone, Giuseppe Iannaccone, Randy H. Katz, Gunho Lee, Luca Niccolini:
An energy case for hybrid datacenters. ACM SIGOPS Oper. Syst. Rev. 44(1): 76-80 (2010)
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Ling Huang, Jinzhu Jia, Bin Yu, Byung-Gon Chun, Petros Maniatis, Mayur Naik:
Predicting Execution Time of Computer Programs Using Sparse Polynomial Regression. NIPS 2010: 883-891
[c21]
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William Enck, Peter Gilbert, Byung-Gon Chun, Landon P. Cox, Jaeyeon Jung, Patrick D. McDaniel, Anmol Sheth:
TaintDroid: An Information-Flow Tracking System for Realtime Privacy Monitoring on Smartphones. OSDI 2010: 393-407
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Jayanthkumar Kannan, Petros Maniatis, Byung-Gon Chun:
A Data Capsule Framework For Web Services: Providing Flexible Data Access Control To Users. CoRR abs/1002.0298 (2010)
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Byung-Gon Chun, Sunghwan Ihm, Petros Maniatis, Mayur Naik:
CloneCloud: Boosting Mobile Device Applications Through Cloud Clone Execution. CoRR abs/1009.3088 (2010)
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  - journals/corr/abs-1010-0019
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Byung-Gon Chun, Ling Huang, Sangmin Lee, Petros Maniatis, Mayur Naik:
Mantis: Predicting System Performance through Program Analysis and Modeling. CoRR abs/1010.0019 (2010)

2000 – 2009

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2009
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Lucian Popa, Byung-Gon Chun, Ion Stoica, Jaideep Chandrashekar, Nina Taft:
Macroscope: end-point approach to networked application dependency discovery. CoNEXT 2009: 229-240
[c19]
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Byung-Gon Chun, Petros Maniatis, Scott Shenker, John Kubiatowicz:
Tiered Fault Tolerance for Long-Term Integrity. FAST 2009: 267-282
[c18]
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Andrey Ermolinskiy, Daekyeong Moon, Byung-Gon Chun, Scott Shenker:
Minuet: Rethinking Concurrency Control in Storage Area Networks. FAST 2009: 311-324
[c17]
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Byung-Gon Chun, Petros Maniatis:
Augmented Smartphone Applications Through Clone Cloud Execution. HotOS 2009
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Mihai Dobrescu, Norbert Egi, Katerina J. Argyraki, Byung-Gon Chun, Kevin R. Fall, Gianluca Iannaccone, Allan Knies, Maziar Manesh, Sylvia Ratnasamy:
RouteBricks: exploiting parallelism to scale software routers. SOSP 2009: 15-28
2008
[c15]
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Byung-Gon Chun, Sylvia Ratnasamy, Eddie Kohler:
NetComplex: A Complexity Metric for Networked System Designs. NSDI 2008: 393-406
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Katerina J. Argyraki, Salman Baset, Byung-Gon Chun, Kevin R. Fall, Gianluca Iannaccone, Allan Knies, Eddie Kohler, Maziar Manesh, Sergiu Nedevschi, Sylvia Ratnasamy:
Can software routers scale? PRESTO 2008: 21-26
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Byung-Gon Chun, Petros Maniatis, Scott Shenker:
Diverse Replication for Single-Machine Byzantine-Fault Tolerance. USENIX ATC 2008: 287-292
2007
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Hakim Weatherspoon, Patrick R. Eaton, Byung-Gon Chun, John Kubiatowicz:
Antiquity: exploiting a secure log for wide-area distributed storage. EuroSys 2007: 371-384
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Cheng Tien Ee, Vijay Ramachandran, Byung-Gon Chun, Kaushik Lakshminarayanan, Scott Shenker:
Resolving inter-domain policy disputes. SIGCOMM 2007: 157-168
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Teemu Koponen, Mohit Chawla, Byung-Gon Chun, Andrey Ermolinskiy, Kye Hyun Kim, Scott Shenker, Ion Stoica:
A data-oriented (and beyond) network architecture. SIGCOMM 2007: 181-192
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Byung-Gon Chun, Petros Maniatis, Scott Shenker, John Kubiatowicz:
Attested append-only memory: making adversaries stick to their word. SOSP 2007: 189-204
2006
[c8]
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Byung-Gon Chun, Peter Wu, Hakim Weatherspoon, John Kubiatowicz:
ChunkCast: An Anycast Service for Large Content Distribution. IPTPS 2006
[c7]
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Emil Sit, Andreas Haeberlen, Frank Dabek, Byung-Gon Chun, Hakim Weatherspoon, Robert Tappan Morris, M. Frans Kaashoek, John Kubiatowicz:
Proactive Replication for Data Durability. IPTPS 2006
[c6]
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Byung-Gon Chun, Frank Dabek, Andreas Haeberlen, Emil Sit, Hakim Weatherspoon, M. Frans Kaashoek, John Kubiatowicz, Robert Tappan Morris:
Efficient Replica Maintenance for Distributed Storage Systems. NSDI 2006
2005
[c5]
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Sean C. Rhea, Byung-Gon Chun, John Kubiatowicz, Scott Shenker:
Fixing the Embarrassing Slowness of OpenDHT on PlanetLab. WORLDS 2005
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Byung-Gon Chun, Ben Y. Zhao, John Kubiatowicz:
Impact of Neighbor Selection on Performance and Resilience of Structured P2P Networks. IPTPS 2005: 264-274
2004
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Byung-Gon Chun, Rodrigo Fonseca, Ion Stoica, John Kubiatowicz:
Characterizing Selfishly Constructed Overlay Routing Networks. INFOCOM 2004: 1329-1339
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Byung-Gon Chun, Kamalika Chaudhuri, Hoeteck Wee, Marco Barreno, Christos H. Papadimitriou, John Kubiatowicz:
Selfish caching in distributed systems: a game-theoretic analysis. PODC 2004: 21-30
2002
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Byung-Gon Chun, Mary Baker:
Evaluation of packet scheduling algorithms in mobile ad hoc networks. ACM SIGMOBILE Mob. Comput. Commun. Rev. 6(3): 36-49 (2002)

1990 – 1999

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1997
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Byung-Gon Chun, Byeong Gi Lee:
Auxiliary Timeout and Selective Packet Discard Schemes to Improve TCP Performance in PCN Environment. ICC (1) 1997: 381-385

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