Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Distributed Loads01:19

Distributed Loads

939
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
939
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.1K
Beams are structural elements commonly employed in engineering applications requiring different load-carrying capacities. The first step in analyzing a beam under a distributed load is to simplify the problem by dividing the load into smaller regions, which allows one to consider each region separately and calculate the magnitude of the equivalent resultant load acting on each portion of the beam. The magnitude of the equivalent resultant load for each region can be determined by calculating...
1.1K
Parallel Processing01:20

Parallel Processing

626
The brain processes sensory information rapidly due to parallel processing, which involves sending data across multiple neural pathways at the same time. This method allows the brain to manage various sensory qualities, such as shapes, colors, movements, and locations, all concurrently. For instance, when observing a forest landscape, the brain simultaneously processes the movement of leaves, the shapes of trees, the depth between them, and the various shades of green. This enables a quick and...
626
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

489
Distribution reliability in electrical power systems is critical for ensuring an uninterrupted power supply to consumers at minimal cost. According to IEEE Standard Terms, reliability is the probability that a device will function without failure over a specified time period or amount of usage. For electric power distribution, this translates to maintaining continuous power supply and addressing customer concerns over power outages. Several indices, as defined by IEEE Standard 1366-2012, are...
489
Quantifying Work02:30

Quantifying Work

23.9K
As a system undergoes a change, its internal energy can change, and energy can be transferred from the system to the surroundings, or from the surroundings to the system.
23.9K
Distribution of Molecular Speeds01:27

Distribution of Molecular Speeds

5.3K
The motion of molecules in a gas is random in magnitude and direction for individual molecules, but a gas of many molecules has a predictable distribution of molecular speeds. This predictable distribution of molecular speeds is known as the Maxwell-Boltzmann distribution. The distribution of molecular speeds in liquids is comparable to that of gases but not identical and can help to understand the phenomenon of the boiling and vapor pressure of a liquid. Consider that a molecule requires a...
5.3K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Molecular Dynamics Workflows to Compute Large-Scale Sets of Absolute Binding Free Energies Aiding Drug Candidate and Binding Pose Selection.

Journal of chemical theory and computation·2026
Same author

Experimentally validated deep learning control of protein aggregation.

Communications chemistry·2026
Same author

4D sensor perception in relativistic image processing.

Scientific reports·2025
Same author

AggreProt: a web server for predicting and engineering aggregation prone regions in proteins.

Nucleic acids research·2024
Same author

Pandemic drugs at pandemic speed: infrastructure for accelerating COVID-19 drug discovery with hybrid machine learning- and physics-based simulations on high-performance computers.

Interface focus·2021
Same author

Lessons learned from urgent computing in Europe: Tackling the COVID-19 pandemic.

Proceedings of the National Academy of Sciences of the United States of America·2021
Same journal

Mental health of healthcare workers in England during the first three years of the COVID-19 pandemic: The NHS CHECK study cohort.

PloS one·2026
Same journal

Research on trajectory tracking control of tracked vehicles based on hydraulic motor system identification and Laguerre-MPC.

PloS one·2026
Same journal

A collaborative cervical precancer screening strategy with concurrent HPV genotyping and visual inspection using alumni of a training centre across Ghana: The Rotary 'Protect Your Pearl' initiative.

PloS one·2026
Same journal

Removal efficiency of pesticide residues on pesticide-spiked Perilla Leaf and Broccoli surfaces using microplasma-treated water.

PloS one·2026
Same journal

Cross-domain zero-shot semantic segmentation for unstructured environments via EVA-CLIP model, ensemble prompt engineering, and optimized text-image matching.

PloS one·2026
Same journal

Adaptive robust sparse representation for face recognition based on weighted and fusion dictionary.

PloS one·2026
See all related articles

Related Experiment Video

Updated: Jan 14, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.5K

Data management for distributed computational workflows: An iRODS-based setup and its performance.

Mohamad Hayek1, Martin Golasowski2, Stephan Hachinger1

  • 1Leibniz Supercomputing Centre (LRZ), Bavarian Academy of Sciences and Humanities, Garching near Munich, Germany.

Plos One
|January 12, 2026
PubMed
Summary
This summary is machine-generated.

Data management frameworks like iRODS with B2SAFE can efficiently handle distributed computing workflows. Optimized configurations allow data transfers to saturate network bandwidth, proving their suitability for federated infrastructures.

More Related Videos

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
12:10

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

13.8K
Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
09:49

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

5.9K

Related Experiment Videos

Last Updated: Jan 14, 2026

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques
07:52

Author Spotlight: Enhancing Cryo-Electron Microscopy by Automated Data Collection and Analysis Techniques

Published on: December 1, 2023

1.5K
An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus
12:10

An Experimental and Bioinformatics Protocol for RNA-seq Analyses of Photoperiodic Diapause in the Asian Tiger Mosquito, Aedes albopictus

Published on: November 30, 2014

13.8K
Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope
09:49

Routine Collection of High-Resolution cryo-EM Datasets Using 200 KV Transmission Electron Microscope

Published on: March 16, 2022

5.9K

Area of Science:

  • Scientific data management
  • High-performance computing infrastructure
  • Distributed data systems

Background:

  • Modern data management frameworks are evaluated for their practical efficiency in daily use.
  • Frameworks must support geographically distributed high-performance and cloud computing systems.
  • Data transfer performance is critical for saturating network bandwidth in distributed workflows.

Purpose of the Study:

  • To test the suitability of data management frameworks for distributed computing workflows.
  • To assess the performance of iRODS with B2SAFE as a data backend for the LEXIS Platform.
  • To measure wide-area network data transfer performance between supercomputing sites.

Main Methods:

  • Evaluation of the integrated Rule-Oriented Data System (iRODS) with EUDAT's B2SAFE module.
  • Construction and assessment of a data infrastructure within the LEXIS Platform.
  • Measurement of data transfer performance over wide-area networks between supercomputing sites.

Main Results:

  • Efficient utilization of network bandwidth is achievable with optimized client configurations and file sizes.
  • iRODS is suitable for integration into federated computing infrastructures, supporting OpenID Connect and online services.
  • Limitations were identified, and optimization opportunities were discovered for data transfer performance.

Conclusions:

  • Data management systems like iRODS are capable of meeting the demands of federated computing infrastructures.
  • The study demonstrates the potential for high-performance data transfers in distributed environments.
  • Continued exploitation of these properties is planned for data-heavy workflow optimization in projects like EXA4MIND.