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07/20/2023
Effectiveness and predictability of in-network storage cache for scientific workflows
Large scientific collaborations often have multiple scientists accessing...
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10/21/2022
Feature Engineering and Classification Models for Partial Discharge in Power Transformers
To ensure reliability, power transformers are monitored for partial disc...
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06/23/2022
The LBNL Superfacility Project Report
The Superfacility model is designed to leverage HPC for experimental sci...
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05/19/2022
Extract Dynamic Information To Improve Time Series Modeling: a Case Study with Scientific Workflow
In modeling time series data, we often need to augment the existing data...
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05/11/2022
Studying Scientific Data Lifecycle in On-demand Distributed Storage Caches
The XRootD system is used to transfer, store, and cache large datasets f...
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05/11/2022
Access Trends of In-network Cache for Scientific Data
Scientific collaborations are increasingly relying on large volumes of d...
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03/14/2022
Deploying in-network caches in support of distributed scientific data sharing
The importance of intelligent data placement, management, and analysis h...
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05/03/2021
Analyzing scientific data sharing patterns for in-network data caching
The volume of data moving through a network increases with new scientifi...
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04/26/2021
Improving Botnet Detection with Recurrent Neural Network and Transfer Learning
Botnet detection is a critical step in stopping the spread of botnets an...
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04/13/2020
Software-Defined Network for End-to-end Networked Science at the Exascale
Domain science applications and workflow processes are currently forced ...
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04/01/2020
Botnet Detection Using Recurrent Variational Autoencoder
Botnets are increasingly used by malicious actors, creating increasing t...
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11/16/2019
IDEALEM: Statistical Similarity Based Data Reduction
Many applications such as scientific simulation, sensing, and power grid...
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10/28/2019