Alex Sim

According to our database1, Alex Sim authored at least 123 papers between 1996 and 2024.

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Bibliography

2024
Detecting Anomalies in Time Series Using Kernel Density Approaches.
IEEE Access, 2024

2023
Design and implementation of I/O performance prediction scheme on HPC systems through large-scale log analysis.
J. Big Data, December, 2023

Locating Partial Discharges in Power Transformers with Convolutional Iterative Filtering.
Sensors, February, 2023

Gender Gaps in Mode Usage, Vehicle Ownership, and Spatial Mobility When Entering Parenthood: A Life Course Perspective.
Syst., 2023

Leveraging History to Predict Infrequent Abnormal Transfers in Distributed Workflows.
Sensors, 2023

Serving Deep Learning Model in Relational Databases.
CoRR, 2023

Design and Implementation of Burst Buffer Over-Subscription Scheme for HPC Storage Systems.
IEEE Access, 2023

Effectiveness and predictability of in-network storage cache for Scientific Workflows.
Proceedings of the International Conference on Computing, Networking and Communications, 2023

Analyzing Transatlantic Network Traffic over Scientific Data Caches.
Proceedings of the 2023 on Systems and Network Telemetry and Analytics, 2023

Automatic Data Transformation Using Large Language Model - An Experimental Study on Building Energy Data.
Proceedings of the IEEE International Conference on Big Data, 2023

Counterfactual Analysis: A Case Study on Impact of External Events on Building Energy Consumption.
Proceedings of the IEEE International Conference on Big Data, 2023

2022
Enhancing IoT anomaly detection performance for federated learning.
Digit. Commun. Networks, 2022

Feature Engineering and Classification Models for Partial Discharge in Power Transformers.
CoRR, 2022

The LBNL Superfacility Project Report.
CoRR, 2022

Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow.
CoRR, 2022

Deploying in-network caches in support of distributed scientific data sharing.
CoRR, 2022

Design and implementation of dynamic I/O control scheme for large scale distributed file systems.
Clust. Comput., 2022

Adaptive Optimization for Sparse Data on Heterogeneous GPUs.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium, 2022

Predicting Slow Network Transfers in Scientific Computing.
Proceedings of the SNTA@HPDC 2022, 2022

SNTA'22: The 5th Workshop on Systems and Network Telemetry and Analytics.
Proceedings of the HPDC '22: The 31st International Symposium on High-Performance Parallel and Distributed Computing, Minneapolis, MN, USA, 27 June 2022, 2022

Access Trends of In-network Cache for Scientific Data.
Proceedings of the SNTA@HPDC 2022, 2022

Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches.
Proceedings of the SNTA@HPDC 2022, 2022

Using Multi-Resolution Data to Accelerate Neural Network Training in Scientific Applications.
Proceedings of the 22nd IEEE International Symposium on Cluster, 2022

2021
Automated Feature Selection for Anomaly Detection in Network Traffic Data.
ACM Trans. Manag. Inf. Syst., 2021

Network traffic performance analysis from passive measurements using gradient boosting machine learning.
Int. J. Big Data Intell., 2021

Adaptive Elastic Training for Sparse Deep Learning on Heterogeneous Multi-GPU Servers.
CoRR, 2021

Improving Botnet Detection with Recurrent Neural Network and Transfer Learning.
CoRR, 2021

Investigating Underlying Drivers of Variability in Residential Energy Usage Patterns with Daily Load Shape Clustering of Smart Meter Data.
CoRR, 2021

Adaptive Stochastic Gradient Descent for Deep Learning on Heterogeneous CPU+GPU Architectures.
Proceedings of the IEEE International Parallel and Distributed Processing Symposium Workshops, 2021

Access Patterns to Disk Cache for Large Scientific Archive.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

GPU-based Classification for Wireless Intrusion Detection.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Analyzing Scientific Data Sharing Patterns for In-network Data Caching.
Proceedings of the SNTA@HPDC 2021: Proceedings of the 2021 on Systems and Network Telemetry and Analytics, 2021

Asynchronous I/O Strategy for Large-Scale Deep Learning Applications.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

An In-Depth I/O Pattern Analysis in HPC Systems.
Proceedings of the 28th IEEE International Conference on High Performance Computing, 2021

Performance of the Gold Standard and Machine Learning in Predicting Vehicle Transactions.
Proceedings of the 2021 IEEE International Conference on Big Data (Big Data), 2021

2020
Software-Defined Network for End-to-end Networked Science at the Exascale.
Future Gener. Comput. Syst., 2020

Clustering Life Course to Understand the Heterogeneous Effects of Life Events, Gender, and Generation on Habitual Travel Modes.
IEEE Access, 2020

Cross-facility science with the Superfacility Project at LBNL.
Proceedings of the 2nd IEEE/ACM Annual Workshop on Extreme-scale Experiment-in-the-Loop Computing, 2020

A Deep Deterministic Policy Gradient Based Network Scheduler For Deadline-Driven Data Transfers.
Proceedings of the 2020 IFIP Networking Conference, 2020

Evaluation of Deep Learning Models for Network Performance Prediction for Scientific Facilities.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Towards HPC I/O Performance Prediction through Large-scale Log Analysis.
Proceedings of the HPDC '20: The 29th International Symposium on High-Performance Parallel and Distributed Computing, 2020

Transfer Learning Approach for Botnet Detection Based on Recurrent Variational Autoencoder.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Feature Selection Improves Tree-based Classification for Wireless Intrusion Detection.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

HPC Workload Characterization Using Feature Selection and Clustering.
Proceedings of the 3rd International Workshop on Systems and Network Telemetry and Analytics, 2020

Botnet Detection Using Recurrent Variational Autoencoder.
Proceedings of the IEEE Global Communications Conference, 2020

BBOS: Efficient HPC Storage Management via Burst Buffer Over-Subscription.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Predicting Resource Requirement in Intermediate Palomar Transient Factory Workflow.
Proceedings of the 20th IEEE/ACM International Symposium on Cluster, 2020

Effective Missing Value Imputation Methods for Building Monitoring Data.
Proceedings of the 2020 IEEE International Conference on Big Data (IEEE BigData 2020), 2020

2019
Evaluating the Effects of Missing Values and Mixed Data Types on Social Sequence Clustering Using t-SNE Visualization.
ACM J. Data Inf. Qual., 2019

A New Approach to Multivariate Network Traffic Analysis.
J. Comput. Sci. Technol., 2019

IDEALEM: Statistical Similarity Based Data Reduction.
CoRR, 2019

An Ensemble Approach toward Automated Variable Selection for Network Anomaly Detection.
CoRR, 2019

Multivariate network traffic analysis using clustered patterns.
Computing, 2019

Automatic Detection of Network Traffic Anomalies and Changes.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Understanding Parallel I/O Performance Trends Under Various HPC Configurations.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Session details: Technical Session I.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Performance Prediction for Data Transfers in LCLS Workflow.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

Similarity-based Compression with Multidimensional Pattern Matching.
Proceedings of the ACM Workshop on Systems and Network Telemetry and Analytics, 2019

A Reinforcement Learning Based Network Scheduler for Deadline-Driven Data Transfers.
Proceedings of the 2019 IEEE Global Communications Conference, 2019

Co-optimizing Latency and Energy for IoT services using HMP servers in Fog Clusters.
Proceedings of the Fourth International Conference on Fog and Mobile Edge Computing, 2019

Multidimensional Compression with Pattern Matching.
Proceedings of the Data Compression Conference, 2019

DCA-IO: A Dynamic I/O Control Scheme for Parallel and Distributed File Systems.
Proceedings of the 19th IEEE/ACM International Symposium on Cluster, 2019

Machine Learning for Prediction of Mid to Long Term Habitual Transportation Mode Use.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Spatiotemporal Real-Time Anomaly Detection for Supercomputing Systems.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

Federated Wireless Network Intrusion Detection.
Proceedings of the 2019 IEEE International Conference on Big Data (IEEE BigData), 2019

2018
Consensus Ensemble System for Traffic Flow Prediction.
IEEE Trans. Intell. Transp. Syst., 2018

Predicting baseline for analysis of electricity pricing.
Int. J. Big Data Intell., 2018

SDN for End-to-End Networked Science at the Exascale (SENSE).
Proceedings of the 5th IEEE/ACM International Workshop on Innovating the Network for Data-Intensive Science, 2018

Modeling Data Transfers: Change Point and Anomaly Detection.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Spatio-Temporal Analysis of HPC I/O and Connection Data.
Proceedings of the 38th IEEE International Conference on Distributed Computing Systems, 2018

Auto-Tuned Publisher in a Pub/Sub System: Design and Performance Evaluation.
Proceedings of the 2018 IEEE International Conference on Autonomic Computing, 2018

Identifying Anomalous File Transfer Events in LCLS Workflow.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Towards Autonomic Science Infrastructure: Architecture, Limitations, and Open Issues.
Proceedings of the 1st International Workshop on Autonomous Infrastructure for Science, 2018

Detecting Anomalies in the LCLS Workflow.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Predicting Network Traffic Using TCP Anomalies.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

Dynamic Online Performance Optimization in Streaming Data Compression.
Proceedings of the IEEE International Conference on Big Data (IEEE BigData 2018), 2018

2017
Improving Statistical Similarity Based Data Reduction for Non-Stationary Data.
Proceedings of the 29th International Conference on Scientific and Statistical Database Management, 2017

A lightweight network anomaly detection technique.
Proceedings of the 2017 International Conference on Computing, 2017

An approach to online network monitoring using clustered patterns.
Proceedings of the 2017 International Conference on Computing, 2017

A New Approach to Online, Multivariate Network Traffic Analysis.
Proceedings of the 26th International Conference on Computer Communication and Networks, 2017

Expanding Statistical Similarity Based Data Reduction to Capture Diverse Patterns.
Proceedings of the 2017 Data Compression Conference, 2017

Convolutional Filtering for Accurate Signal Timing from Noisy Streaming Data.
Proceedings of the 15th IEEE Intl Conf on Dependable, 2017

Parallel Variable Selection for Effective Performance Prediction.
Proceedings of the 17th IEEE/ACM International Symposium on Cluster, 2017

Accurate signal timing from high frequency streaming data.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Data quality challenges with missing values and mixed types in joint sequence analysis.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017

Feature Engineering and Classification Models for Partial Discharge Events in Power Transformers.
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017

Comparison of Clustering Techniques for Residential Energy Behavior Using Smart Meter Data.
Proceedings of the Workshops of the The Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma.
IEEE Trans. Big Data, 2016

Time-Series Forecast Modeling on High-Bandwidth Network Measurements.
J. Grid Comput., 2016

Novel Data Reduction Based on Statistical Similarity.
Proceedings of the 28th International Conference on Scientific and Statistical Database Management, 2016

Visualization and Analysis for Near-Real-Time Decision Making in Distributed Workflows.
Proceedings of the 2016 IEEE International Parallel and Distributed Processing Symposium Workshops, 2016

2015
Towards Real-Time Detection and Tracking of Blob-Filaments in Fusion Plasma Big Data.
CoRR, 2015

Extracting Baseline Electricity Usage Using Gradient Tree Boosting.
Proceedings of the 2015 IEEE International Conference on Smart City/SocialCom/SustainCom/DataCom/SC2 2015, 2015

PATHA: Performance Analysis Tool for HPC Applications.
Proceedings of the 34th IEEE International Performance Computing and Communications Conference, 2015

Network bandwidth utilization forecast model on high bandwidth networks.
Proceedings of the International Conference on Computing, Networking and Communications, 2015

2014
Adaptation and policy-based resource allocation for efficient bulk data transfers in high performance computing environments.
Proceedings of the Fourth International Workshop on Network-Aware Data Management, 2014

Efficient Data Staging Using Performance-Based Adaptation and Policy-Based Resource Allocation.
Proceedings of the 22nd Euromicro International Conference on Parallel, 2014

2013
What SNMP Data Can Tell Us about Edge-to-Edge Network Performance.
Proceedings of the Passive and Active Measurement - 14th International Conference, 2013

Estimating and Forecasting Network Traffic Performance Based on Statistical Patterns Observed in SNMP Data.
Proceedings of the Machine Learning and Data Mining in Pattern Recognition, 2013

2012
Efficient Attribute-Based Data Access in Astronomy Analysis.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Adaptive Data Transfers that Utilize Policies for Resource Sharing.
Proceedings of the 2012 SC Companion: High Performance Computing, 2012

Experiences with 100Gbps network applications.
Proceedings of the DIDC'12, 2012

2010
A Flexible Reservation Algorithm for Advance Network Provisioning.
Proceedings of the Conference on High Performance Computing Networking, 2010

EFFIS: An End-to-end Framework for Fusion Integrated Simulation.
Proceedings of the 18th Euromicro Conference on Parallel, 2010

Lessons learned from moving earth system grid data sets over a 20 Gbps wide-area network.
Proceedings of the 19th ACM International Symposium on High Performance Distributed Computing, 2010

Finding Tropical Cyclones on a Cloud Computing Cluster: Using Parallel Virtualization for Large-Scale Climate Simulation Analysis.
Proceedings of the Cloud Computing, Second International Conference, 2010

2009
Practical Grid Storage Interoperation.
J. Grid Comput., 2009

Interoperation of world-wide production e-Science infrastructures.
Concurr. Comput. Pract. Exp., 2009

Dynamic Storage Management.
Proceedings of the Scientific Data Management - Challenges, Technology, and Deployment., 2009

2008
Efficient Operational Profiling of Systems Using Suffix Arrays on Execution Logs.
Proceedings of the 19th International Symposium on Software Reliability Engineering (ISSRE 2008), 2008

2007

2005
The Earth System Grid: Supporting the Next Generation of Climate Modeling Research.
Proc. IEEE, 2005

RRS: Replica Registration Service for Data Grids.
Proceedings of the Data Management in Grids, First VLDB Workshop, 2005

2004
DataMover: Robust Terabyte-Scale Multi-file Replication over Wide-Area Networks.
Proceedings of the 16th International Conference on Scientific and Statistical Database Management (SSDBM 2004), 2004

2003
High-performance remote access to climate simulation data: a challenge problem for data grid technologies.
Parallel Comput., 2003

An Ontology for Scientific Information in a Grid Environment: the Earth System Grid.
Proceedings of the 3rd IEEE International Symposium on Cluster Computing and the Grid (CCGrid 2003), 2003

2001
Experience with using CORBA to implement a file caching coordination system.
Concurr. Comput. Pract. Exp., 2001

High-performance remote access to climate simulation data: a challenge problem for data grid technologies.
Proceedings of the 2001 ACM/IEEE conference on Supercomputing, 2001

2000
Coordinating Simultaneous Caching of File Bundles from Tertiary Storage.
Proceedings of the 12th International Conference on Scientific and Statistical Database Management, 2000

Access Coordination of Tertiary Storage for High Energy Physics Applications.
Proceedings of the Eighth NASA Goddard Space Flight Center Conference on Mass Storage Systems and Technologies in cooperation with Seventeenth IEEE Symposium on Mass Storage Systems, 2000

1999
Multidimensional Indexing and Query Coordination for Tertiary Storage Management.
Proceedings of the 11th International Conference on Scientific and Statistical Database Management, 1999

Storage Access Coordination using CORBA.
Proceedings of the International Symposium on Distributed Objects and Applications, 1999

1996
Invariant representation and hierarchical network for inspection of nuts from X-ray images.
Int. J. Imaging Syst. Technol., 1996


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