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Alex Sim
Alexander Sim
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2020 – today
- 2024
- [j25]Robin Frehner, Kesheng Wu, Alexander Sim, Jinoh Kim, Kurt Stockinger:
Detecting Anomalies in Time Series Using Kernel Density Approaches. IEEE Access 12: 33420-33439 (2024) - [c90]Lixi Zhou, Qi Lin, Kanchan Chowdhury, Saif Masood, Alexandre E. Eichenberger, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Jia Zou:
Serving Deep Learning Models from Relational Databases. EDBT 2024: 717-724 - [c89]Dong Kyu Sung, Yongseok Son, Alex Sim, Kesheng Wu, Suren Byna, Houjun Tang, Hyeonsang Eom, Changjong Kim, Sunggon Kim:
A2FL: Autonomous and Adaptive File Layout in HPC through Real-time Access Pattern Analysis. IPDPS 2024: 506-518 - 2023
- [j24]Jiwoo Bang, Alexander Sim, Glenn K. Lockwood, Hyeonsang Eom, Hanul Sung:
Design and Implementation of Burst Buffer Over-Subscription Scheme for HPC Storage Systems. IEEE Access 11: 3386-3401 (2023) - [j23]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis. J. Big Data 10(1): 65 (2023) - [j22]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering. Sensors 23(4): 1789 (2023) - [j21]Robin Shao, Alex Sim, Kesheng Wu, Jinoh Kim:
Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows. Sensors 23(12): 5485 (2023) - [j20]Hung-Chia Yang, Ling Jin, Alina Lazar, Annika Todd-Blick, Alex Sim, Kesheng Wu, Qianmiao Chen, C. Anna Spurlock:
Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective. Syst. 11(6): 314 (2023) - [c88]Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou:
Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data. IEEE Big Data 2023: 1824-1834 - [c87]Carolina Minami Oguchi, Dipak Ghosal, Alex Sim, Kesheng Wu:
Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption. IEEE Big Data 2023: 3803-3812 - [c86]Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel:
Analyzing Transatlantic Network Traffic over Scientific Data Caches. SNTA@HPDC 2023: 19-22 - [c85]Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas:
Effectiveness and predictability of in-network storage cache for Scientific Workflows. ICNC 2023: 226-230 - [i20]Ziyue Deng, Alex Sim, Kesheng Wu, Chin Guok, Damian Hazen, Inder Monga, Fabio Andrijauskas, Frank Würthwein, Derek Weitzel:
Analyzing Transatlantic Network Traffic over Scientific Data Caches. CoRR abs/2305.00856 (2023) - [i19]Caitlin Sim, Kesheng Wu, Alex Sim, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Harvey B. Newman, Justas Balcas:
Effectiveness and predictability of in-network storage cache for scientific workflows. CoRR abs/2307.11069 (2023) - [i18]Ankita Sharma, Xuanmao Li, Hong Guan, Guoxin Sun, Liang Zhang, Lanjun Wang, Kesheng Wu, Lei Cao, Erkang Zhu, Alexander Sim, Teresa Wu, Jia Zou:
Automatic Data Transformation Using Large Language Model: An Experimental Study on Building Energy Data. CoRR abs/2309.01957 (2023) - [i17]Alexandre E. Eichenberger, Qi Lin, Saif Masood, Hong Min, Alexander Sim, Jie Wang, Yida Wang, Kesheng Wu, Binhang Yuan, Lixi Zhou, Jia Zou:
Serving Deep Learning Model in Relational Databases. CoRR abs/2310.04696 (2023) - 2022
- [j19]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son:
Design and implementation of dynamic I/O control scheme for large scale distributed file systems. Clust. Comput. 25(6): 4423-4438 (2022) - [j18]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT anomaly detection performance for federated learning. Digit. Commun. Networks 8(3): 314-323 (2022) - [c84]Kewei Wang, Sunwoo Lee, Jan Balewski, Alex Sim, Peter Nugent, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu, Wei-Keng Liao:
Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications. CCGRID 2022: 404-413 - [c83]Robin Shao, Jinoh Kim, Alex Sim, Kesheng Wu:
Predicting Slow Network Transfers in Scientific Computing. SNTA@HPDC 2022: 13-20 - [c82]Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman:
Access Trends of In-network Cache for Scientific Data. SNTA@HPDC 2022: 21-28 - [c81]Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila:
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. SNTA@HPDC 2022: 43-50 - [c80]Jinoh Kim, Massimo Cafaro, Jerry Chou, Alex Sim:
SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics. HPDC 2022: 296-297 - [c79]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Optimization for Sparse Data on Heterogeneous GPUs. IPDPS Workshops 2022: 1088-1097 - [e4]Massimo Cafaro, Jerry Chou, Jinoh Kim, Alex Sim:
SNTA@HPDC 2022, Fifth International Workshop on Systems and Network Telemetry and Analytics, Minneapolis, MN, USA, 30 June 2022. ACM 2022, ISBN 978-1-4503-9315-7 [contents] - [i16]Alex Sim, Ezra Kissel, Chin Guok:
Deploying in-network caches in support of distributed scientific data sharing. CoRR abs/2203.06843 (2022) - [i15]Ruize Han, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Justas Balcas, Harvey B. Newman:
Access Trends of In-network Cache for Scientific Data. CoRR abs/2205.05563 (2022) - [i14]Julian Bellavita, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila:
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches. CoRR abs/2205.05598 (2022) - [i13]Jeeyung Kim, Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu:
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow. CoRR abs/2205.09703 (2022) - [i12]Deborah Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, William Arndt, Johannes P. Blaschke, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Bjoern Enders, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Tom Lehman, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Laurie Stephey, Rollin C. Thomas, Gabor Torok:
The LBNL Superfacility Project Report. CoRR abs/2206.11992 (2022) - [i11]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Feature Engineering and Classification Models for Partial Discharge in Power Transformers. CoRR abs/2210.12216 (2022) - 2021
- [j17]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Network traffic performance analysis from passive measurements using gradient boosting machine learning. Int. J. Big Data Intell. 8(1): 13-30 (2021) - [j16]Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
Automated Feature Selection for Anomaly Detection in Network Traffic Data. ACM Trans. Manag. Inf. Syst. 12(3): 18:1-18:28 (2021) - [c78]Alina Lazar, Ling Jin, Caitlin Brown, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions. IEEE BigData 2021: 3700-3704 - [c77]Sunwoo Lee, Qiao Kang, Kewei Wang, Jan Balewski, Alex Sim, Ankit Agrawal, Alok N. Choudhary, Peter Nugent, Kesheng Wu, Wei-keng Liao:
Asynchronous I/O Strategy for Large-Scale Deep Learning Applications. HiPC 2021: 322-331 - [c76]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Hanul Sung, Hyeonsang Eom:
An In-Depth I/O Pattern Analysis in HPC Systems. HiPC 2021: 400-405 - [c75]Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez:
Analyzing Scientific Data Sharing Patterns for In-network Data Caching. SNTA@HPDC 2021: 9-16 - [c74]Alina Lazar, Alex Sim, Kesheng Wu:
GPU-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2021: 27-31 - [c73]Yumeng Wang, Kesheng Wu, Alex Sim, Shinjae Yoo, Shigeki Misawa:
Access Patterns to Disk Cache for Large Scientific Archive. SNTA@HPDC 2021: 37-40 - [c72]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures. IPDPS Workshops 2021: 6-15 - [e3]Massimo Cafaro, Jinoh Kim, Alex Sim:
SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, Virtual Event, Sweden, 21 June, 2021. ACM 2021, ISBN 978-1-4503-8386-8 [contents] - [i10]Ling Jin, C. Anna Spurlock, Sam Borgeson, Alina Lazar, Daniel Fredman, Annika Todd, Alexander Sim, Kesheng Wu:
Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data. CoRR abs/2102.11027 (2021) - [i9]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning. CoRR abs/2104.12602 (2021) - [i8]Elizabeth Copps, Huiyi Zhang, Alex Sim, Kesheng Wu, Inder Monga, Chin Guok, Frank Würthwein, Diego Davila, Edgar Fajardo Hernandez:
Analyzing scientific data sharing patterns for in-network data caching. CoRR abs/2105.00964 (2021) - [i7]Yujing Ma, Florin Rusu, Kesheng Wu, Alexander Sim:
Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers. CoRR abs/2110.07029 (2021) - 2020
- [j15]Ling Jin, Alina Lazar, James Sears, Annika Todd-Blick, Alexander Sim, Kesheng Wu, Hung-Chia Yang, C. Anna Spurlock:
Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes. IEEE Access 8: 190964-190980 (2020) - [j14]Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey B. Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang:
Software-Defined Network for End-to-end Networked Science at the Exascale. Future Gener. Comput. Syst. 110: 181-201 (2020) - [c71]Brian Cho, Teresa Dayrit, Yuan Gao, Zhe Wang, Tianzhen Hong, Alex Sim, Kesheng Wu:
Effective Missing Value Imputation Methods for Building Monitoring Data. IEEE BigData 2020: 2866-2875 - [c70]Hanul Sung, Jiwoo Bang, Chungyong Kim, Hyung-Sin Kim, Alexander Sim, Glenn K. Lockwood, Hyeonsang Eom:
BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription. CCGRID 2020: 142-151 - [c69]Qiao Kang, Alex Sim, Peter Nugent, Sunwoo Lee, Wei-keng Liao, Ankit Agrawal, Alok N. Choudhary, Kesheng Wu:
Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow. CCGRID 2020: 619-628 - [c68]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. GLOBECOM 2020: 1-6 - [c67]Shilpa Bhandari, Avinash K. Kukreja, Alina Lazar, Alex Sim, Kesheng Wu:
Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection. SNTA@HPDC 2020: 19-26 - [c66]Jiwoo Bang, Chungyong Kim, Kesheng Wu, Alex Sim, Suren Byna, Sunggon Kim, Hyeonsang Eom:
HPC Workload Characterization Using Feature Selection and Clustering. SNTA@HPDC 2020: 33-40 - [c65]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu, Jaegyoon Hahm:
Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder. SNTA@HPDC 2020: 41-47 - [c64]Makiya Nakashima, Alex Sim, Jinoh Kim:
Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities. SNTA@HPDC 2020: 53-56 - [c63]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Yongseok Son, Hyeonsang Eom:
Towards HPC I/O Performance Prediction through Large-scale Log Analysis. HPDC 2020: 77-88 - [c62]Brett Weinger, Jinoh Kim, Alex Sim, Makiya Nakashima, Nour Moustafa, K. John Wu:
Enhancing IoT Anomaly Detection Performance for Federated Learning. MSN 2020: 206-213 - [c61]Gaurav R. Ghosal, Dipak Ghosal, Alex Sim, Aditya V. Thakur, Kesheng Wu:
A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers. Networking 2020: 253-261 - [c60]Bjoern Enders, Debbie Bard, Cory Snavely, Lisa Gerhardt, Jason Lee, Becci Totzke, Katie Antypas, Suren Byna, Ravi Cheema, Shreyas Cholia, Mark R. Day, Aditi Gaur, Annette Greiner, Taylor L. Groves, Mariam Kiran, Quincey Koziol, Kelly Rowland, Chris Samuel, Ashwin Selvarajan, Alex Sim, David Skinner, Rollin C. Thomas, Gabor Torok:
Cross-facility science with the Superfacility Project at LBNL. XLOOP@SC 2020: 1-7 - [e2]Massimo Cafaro, Jinoh Kim, Alex Sim:
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, SNTA@HPDC 2020, Stockholm, Sweden, June 23, 2020. ACM 2020, ISBN 978-1-4503-7980-9 [contents] - [i6]Jeeyung Kim, Alex Sim, Jinoh Kim, Kesheng Wu:
Botnet Detection Using Recurrent Variational Autoencoder. CoRR abs/2004.00234 (2020) - [i5]Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey B. Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang:
Software-Defined Network for End-to-end Networked Science at the Exascale. CoRR abs/2004.05953 (2020)
2010 – 2019
- 2019
- [j13]Jinoh Kim, Alex Sim, Brian Tierney, Sang C. Suh, Ikkyun Kim:
Multivariate network traffic analysis using clustered patterns. Computing 101(4): 339-361 (2019) - [j12]Jinoh Kim, Alex Sim:
A New Approach to Multivariate Network Traffic Analysis. J. Comput. Sci. Technol. 34(2): 388-402 (2019) - [j11]Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim, Annika Todd:
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization. ACM J. Data Inf. Qual. 11(2): 7:1-7:22 (2019) - [c59]Qiao Kang, Ankit Agrawal, Alok N. Choudhary, Alex Sim, Kesheng Wu, Rajkumar Kettimuthu, Peter H. Beckman, Zhengchun Liu, Wei-keng Liao:
Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems. IEEE BigData 2019: 4381-4389 - [c58]Alina Lazar, Alexandra Ballow, Ling Jin, C. Anna Spurlock, Alexander Sim, Kesheng Wu:
Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use. IEEE BigData 2019: 4520-4524 - [c57]Burak Cetin, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Federated Wireless Network Intrusion Detection. IEEE BigData 2019: 6004-6006 - [c56]Sunggon Kim, Alex Sim, Kesheng Wu, Suren Byna, Teng Wang, Yongseok Son, Hyeonsang Eom:
DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems. CCGRID 2019: 351-360 - [c55]Olivia Del Guercio, Rafael Orozco, Alex Sim, K. John Wu:
Multidimensional Compression with Pattern Matching. DCC 2019: 567 - [c54]Sambit Shukla, Dipak Ghosal, Kesheng Wu, Alex Sim, Matthew K. Farrens:
Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters. FMEC 2019: 121-128 - [c53]Dipak Ghosal, Sambit Shukla, Alex Sim, Aditya V. Thakur, Kesheng Wu:
A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers. GLOBECOM 2019: 1-6 - [c52]Astha Syal, Alina Lazar, Jinoh Kim, Alex Sim, Kesheng Wu:
Automatic Detection of Network Traffic Anomalies and Changes. SNTA@HPDC 2019: 3-10 - [c51]Olivia Del Guercio, Rafael Orozco, Alex Sim, Kesheng Wu:
Similarity-based Compression with Multidimensional Pattern Matching. SNTA@HPDC 2019: 19-24 - [c50]Mengtian Jin, Youkow Homma, Alex Sim, Wilko Kroeger, Kesheng Wu:
Performance Prediction for Data Transfers in LCLS Workflow. SNTA@HPDC 2019: 37-44 - [c49]Alex Sim:
Session details: Technical Session I. SNTA@HPDC 2019 - [c48]Hanul Sung, Jiwoo Bang, Alexander Sim, Kesheng Wu, Hyeonsang Eom:
Understanding Parallel I/O Performance Trends Under Various HPC Configurations. SNTA@HPDC 2019: 29-36 - [e1]Jinoh Kim, Alex Sim:
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, SNTA@HPDC 2019, Phoenix, AZ, USA, June 25, 2019. ACM 2019, ISBN 978-1-4503-6761-5 [contents] - [i4]Makiya Nakashima, Alex Sim, Youngsoo Kim, Jonghyun Kim, Jinoh Kim:
An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection. CoRR abs/1910.12806 (2019) - [i3]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
IDEALEM: Statistical Similarity Based Data Reduction. CoRR abs/1911.06980 (2019) - 2018
- [j10]Taehoon Kim, Jaesik Choi, Dongeun Lee, Alex Sim, C. Anna Spurlock, Annika Todd, Kesheng Wu:
Predicting baseline for analysis of electricity pricing. Int. J. Big Data Intell. 5(1/2): 3-20 (2018) - [j9]Hongyuan Zhan, Gabriel Gomes, Xiaoye S. Li, Kamesh Madduri, Alex Sim, Kesheng Wu:
Consensus Ensemble System for Traffic Flow Prediction. IEEE Trans. Intell. Transp. Syst. 19(12): 3903-3914 (2018) - [c47]J. Kade Gibson, Dongeun Lee, Jaesik Choi, Alex Sim:
Dynamic Online Performance Optimization in Streaming Data Compression. IEEE BigData 2018: 534-541 - [c46]Tal Shachaf, Alexander Sim, Kesheng Wu, Wilko Kroeger:
Detecting Anomalies in the LCLS Workflow. IEEE BigData 2018: 3256-3260 - [c45]Alina Lazar, Kesheng Wu, Alex Sim:
Predicting Network Traffic Using TCP Anomalies. IEEE BigData 2018: 5369-5371 - [c44]Rajkumar Kettimuthu, Zhengchun Liu, Ian T. Foster, Peter H. Beckman, Alex Sim, Kesheng Wu, Wei-keng Liao, Qiao Kang, Ankit Agrawal, Alok N. Choudhary:
Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues. AI-Science@HPDC 2018: 2:1-2:9 - [c43]Mengying Yang, Xinyu Liu, Wilko Kroeger, Alex Sim, Kesheng Wu:
Identifying Anomalous File Transfer Events in LCLS Workflow. AI-Science@HPDC 2018: 7:1-7:4 - [c42]Sowmya Balasubramanian, Dipak Ghosal, Kamala Narayanan Balasubramanian Sharath, Eric Pouyoul, Alex Sim, Kesheng Wu, Brian Tierney:
Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation. ICAC 2018: 21-30 - [c41]Jinhwan Choi, Alex Sim:
Spatio-Temporal Analysis of HPC I/O and Connection Data. ICDCS 2018: 1585-1588 - [c40]Cecilia Dao, Xinyu Liu, Alex Sim, Craig Tull, Kesheng Wu:
Modeling Data Transfers: Change Point and Anomaly Detection. ICDCS 2018: 1589-1594 - [c39]Inder Monga, Chin Guok, John MacAuley, Alex Sim, Harvey B. Newman, Justas Balcas, Phil DeMar, Linda Winkler, Tom Lehman, Xi Yang:
SDN for End-to-End Networked Science at the Exascale (SENSE). INDIS@SC 2018: 33-44 - 2017
- [c38]Ling Jin, Doris Lee, Alex Sim, Sam Borgeson, Kesheng Wu, C. Anna Spurlock, Annika Todd:
Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data. AAAI Workshops 2017 - [c37]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers. BDCAT 2017: 269-270 - [c36]Alina Lazar, Ling Jin, C. Anna Spurlock, Kesheng Wu, Alex Sim:
Data quality challenges with missing values and mixed types in joint sequence analysis. IEEE BigData 2017: 2620-2627 - [c35]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Accurate signal timing from high frequency streaming data. IEEE BigData 2017: 4852-4854 - [c34]Jonathan Wang, Wucherl Yoo, Alex Sim, Peter Nugent, Kesheng Wu:
Parallel Variable Selection for Effective Performance Prediction. CCGrid 2017: 208-217 - [c33]Jonathan Wang, Kesheng Wu, Alex Sim, Seongwook Hwangbo:
Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data. DASC/PiCom/DataCom/CyberSciTech 2017: 941-948 - [c32]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns. DCC 2017: 445 - [c31]Jinoh Kim, Alex Sim:
A New Approach to Online, Multivariate Network Traffic Analysis. ICCCN 2017: 1-6 - [c30]Jinoh Kim, Alex Sim, Sang C. Suh, Ikkyun Kim:
An approach to online network monitoring using clustered patterns. ICNC 2017: 656-661 - [c29]Jinoh Kim, Wucherl Yoo, Alex Sim, Sang C. Suh, Ikkyun Kim:
A lightweight network anomaly detection technique. ICNC 2017: 896-900 - [c28]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Improving Statistical Similarity Based Data Reduction for Non-Stationary Data. SSDBM 2017: 37:1-37:6 - 2016
- [j8]Wucherl Yoo, Alex Sim:
Time-Series Forecast Modeling on High-Bandwidth Network Measurements. J. Grid Comput. 14(3): 463-476 (2016) - [j7]Lingfei Wu, K. John Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma. IEEE Trans. Big Data 2(3): 262-275 (2016) - [c27]David Pugmire, James Kress, Jong Youl Choi, Scott Klasky, Tahsin M. Kurç, Michael Churchill, Matthew Wolf, Greg Eisenhauer, Hank Childs, Kesheng Wu, Alexander Sim, Junmin Gu, Jonathan Low:
Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows. IPDPS Workshops 2016: 1007-1013 - [c26]Dongeun Lee, Alex Sim, Jaesik Choi, Kesheng Wu:
Novel Data Reduction Based on Statistical Similarity. SSDBM 2016: 21:1-21:12 - 2015
- [c25]Wucherl Yoo, Alex Sim:
Network bandwidth utilization forecast model on high bandwidth networks. ICNC 2015: 494-498 - [c24]Wucherl Yoo, Michelle Koo, Yi Cao, Alex Sim, Peter Nugent, Kesheng Wu:
PATHA: Performance Analysis Tool for HPC Applications. IPCCC 2015: 1-8 - [c23]Taehoon Kim, Dongeun Lee, Jaesik Choi, Anna Spurlock, Alex Sim, Annika Todd, Kesheng Wu:
Extracting Baseline Electricity Usage Using Gradient Tree Boosting. SmartCity 2015: 734-741 - [i2]Lingfei Wu, Kesheng Wu, Alex Sim, Michael Churchill, Jong Youl Choi, Andreas Stathopoulos, Choong-Seock Chang, Scott Klasky:
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data. CoRR abs/1505.03532 (2015) - 2014
- [c22]Ann L. Chervenak, Alex Sim, Junmin Gu, Robert Schuler, Nandan Hirpathak:
Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation. PDP 2014: 244-247 - [c21]