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 Loads: Problem Solving01:21

Distributed Loads: Problem Solving

903
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...
903
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

392
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...
392
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

2.0K
Individual molecules in a gas move in random directions, but a gas containing numerous molecules has a predictable distribution of molecular speeds, which is known as the Maxwell-Boltzmann distribution, f(v).
This distribution function f(v) is defined by saying that the expected number N (v1,v2) of particles with speeds between v1 and v2 is given by
2.0K
Distributed Loads01:19

Distributed Loads

776
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...
776
Optimal Foraging00:48

Optimal Foraging

12.9K
How animals obtain and eat their food is called foraging behavior. Foraging can include searching for plants and hunting for prey and depends on the species and environment.
12.9K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

17.0K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
17.0K

You might also read

Related Articles

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

Sort by
Same author

Surgical Treatment of Abdominal Aortoiliac Aneurysms in Children: A Case Series and Systematic Literature Review.

Vascular specialist international·2026
Same author

Bedside skills as context engineering: reframing history taking and physical examination for the AI era.

Korean journal of medical education·2026
Same author

Comprehensive Management of Diabetic Foot Ulcers: Current Evidence and Practice.

Journal of diabetes·2026
Same author

Artificial intelligence-based prediction of radio-cephalic arteriovenous fistula maturation using preoperative duplex examination: a retrospective multicenter cohort study.

Scientific reports·2026
Same author

Diabetic foot ulcer-related amputation is associated with twofold increased risk of cardiovascular disease: A Korean National Health Information Database Study.

Journal of diabetes investigation·2026
Same author

Real-Time Visualization of Isoform-Specific RAF-KRAS Interactions in Living Cells Using FRET-BRET Hybrid Biosensors.

Advanced science (Weinheim, Baden-Wurttemberg, Germany)·2026

Related Experiment Video

Updated: Nov 15, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K

Optimal Service Provisioning for the Scalable Fog/Edge Computing Environment.

Jonghwa Choi1, Sanghyun Ahn1

  • 1Department of Computer Science and Engineering, University of Seoul, Seoul 02504, Korea.

Sensors (Basel, Switzerland)
|March 6, 2021
PubMed
Summary

This study introduces optimal service image placement for fog/edge computing (FEC) to meet Internet of Things (IoT) timing needs. By considering service demands, FEC environments efficiently utilize fog/edge nodes (FENs) for improved responsiveness.

Keywords:
Internet of Things (IoT)fog/edge computingservice offloadingservice placementservice provisioning

More Related Videos

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

936

Related Experiment Videos

Last Updated: Nov 15, 2025

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem
10:15

Integration of 5G Experimentation Infrastructures into a Multi-Site NFV Ecosystem

Published on: February 3, 2021

4.0K
Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization
07:49

Automated Deployment of an Internet Protocol Telephony Service on Unmanned Aerial Vehicles Using Network Functions Virtualization

Published on: November 26, 2019

8.3K
Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit
05:30

Large Scale Energy Efficient Sensor Network Routing Using a Quantum Processor Unit

Published on: September 8, 2023

936

Area of Science:

  • Computer Science
  • Distributed Systems
  • Networking

Background:

  • Cloud data centers (CDCs) face response time unpredictability for time-sensitive Internet of Things (IoT) applications.
  • Fog/Edge Computing (FEC) addresses this by deploying services closer to users via fog/edge nodes (FENs).
  • FENs require service images for execution, necessitating efficient provisioning strategies.

Purpose of the Study:

  • To determine optimal service image placement strategies in FEC environments.
  • To address the challenge of provisioning services on FENs considering pre-obtained service demands.
  • To enhance the scalability and resource utilization of FEC systems.

Main Methods:

  • Developed two novel approaches for provisioning service images onto FENs.
  • Focused on optimal placement based on historical service demand data.
  • Conducted extensive simulations to evaluate performance under various demand scenarios.

Main Results:

  • The proposed methods enable effective utilization of FEN resources.
  • Optimal service image placement leads to scalable FEC environments.
  • Demonstrated improved performance through simulations across diverse service demand patterns.

Conclusions:

  • The developed service image provisioning strategies are effective for FEC.
  • Optimal placement enhances FEC scalability and resource efficiency for IoT.
  • The findings support the viability of FEC for strict timing requirement applications.