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

Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

812
A parallel-plate capacitor with capacitance C, whose plates have area A and separation distance d, is connected to a resistor R and a battery of voltage V. The current starts to flow at t = 0. What is the displacement current between the capacitor plates at time t? From the properties of the capacitor, what is the corresponding real current?
To solve the problem, we can use the equations from the analysis of an RC circuit and Maxwell's version of Ampère's law.
For the first part of...
812
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

804
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...
804
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

208
The maximum power flow for lossy transmission lines is derived using ABCD parameters in phasor form. These parameters create a matrix relationship between the sending-end and receiving-end voltages and currents, allowing the determination of the receiving-end current. This relationship facilitates calculating the complex power delivered to the receiving end, from which real and reactive power components are derived.
208
Ampere's Law: Problem-Solving01:31

Ampere's Law: Problem-Solving

3.7K
Ampere's law states that for any closed looped path, the line integral of the magnetic field along the path equals the vacuum permeability times the current enclosed in the loop. If the fingers of the right hand curl along the direction of the integration path, the current in the direction of the thumb is considered positive. The current opposite to the thumb direction is considered negative.
Specific steps need to be considered while calculating the symmetric magnetic field distribution...
3.7K
Fast Decoupled and DC Powerflow01:24

Fast Decoupled and DC Powerflow

323
The fast decoupled power flow method addresses contingencies in power system operations, such as generator outages or transmission line failures. This method provides quick power flow solutions, essential for real-time system adjustments. Fast decoupled power flow algorithms simplify the Jacobian matrix by neglecting certain elements, leading to two sets of decoupled equations:
323
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.6K
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.
16.6K

You might also read

Related Articles

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

Sort by
Same author

Modeling an Edge Computing Arithmetic Framework for IoT Environments.

Sensors (Basel, Switzerland)·2022
Same author

Modeling of a Generic Edge Computing Application Design.

Sensors (Basel, Switzerland)·2021
See all related articles

Related Experiment Video

Updated: Oct 5, 2025

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

706

Arithmetic Framework to Optimize Packet Forwarding among End Devices in Generic Edge Computing Environments.

Pedro Juan Roig1, Salvador Alcaraz1, Katja Gilly1

  • 1Computer Engineering Department, Miguel Hernández University, 03202 Elche, Spain.

Sensors (Basel, Switzerland)
|January 22, 2022
PubMed
Summary

This study introduces an arithmetic framework to optimize packet forwarding in multi-access edge computing (MEC). By using integer division and modular arithmetic, it simplifies routing and switching for improved performance.

Keywords:
ACPIoTedge computingfog computingformal modeling

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

8.2K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K

Related Experiment Videos

Last Updated: Oct 5, 2025

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

706
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

8.2K
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

11.0K

Area of Science:

  • Computer Science
  • Network Engineering

Background:

  • Multi-access edge computing (MEC) deployments are rapidly expanding across various applications.
  • Efficient packet forwarding is crucial for optimizing performance in edge computing infrastructures.

Purpose of the Study:

  • To propose an arithmetic framework for optimizing packet forwarding in generic edge computing environments.
  • To simplify routing and switching operations through mathematical properties.

Main Methods:

  • A layered arithmetic framework utilizing integer division and modular arithmetic.
  • Analysis of communication types within edge computing environments.
  • Verification through arithmetic and algebraic means, including theorems and behavioral equivalences.

Main Results:

  • The proposed framework simplifies the identification of the next hop for packet forwarding.
  • Routing and switching decisions are reduced to basic arithmetic operations.
  • Demonstrated efficiency in three diverse case scenarios.

Conclusions:

  • The arithmetic framework offers a simplified and efficient approach to packet forwarding in MEC.
  • This method avoids complex table lookups, enhancing operational ease.
  • The findings contribute to more performant and scalable edge computing networks.