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

688
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...
688
Maximum Power Flow and Line Loadability01:23

Maximum Power Flow and Line Loadability

153
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.
153
Distributed Loads01:19

Distributed Loads

569
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...
569
Maxwell-Boltzmann Distribution: Problem Solving01:20

Maxwell-Boltzmann Distribution: Problem Solving

1.6K
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
1.6K
Maximum Power Transfer01:16

Maximum Power Transfer

315
Numerous practical applications within engineering disciplines, such as telecommunications, necessitate optimizing power delivery to a connected load. This pursuit, however, entails inherent internal losses, which can either equal or exceed the power supplied to the load. The Thevenin equivalent circuit is helpful in finding the maximum power a linear circuit can deliver to a load. It is assumed in this context that the load resistance can be adjusted.
By substituting the entire circuit with...
315
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

700
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...
700

You might also read

Related Articles

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

Sort by
Same author

Engineering glyphosate-resistant watermelon by prime editing.

Journal of integrative plant biology·2026
Same author

A hybrid quantum-classical framework for MRI-based deep brain tumor segmentation and classification.

Scientific reports·2026
Same author

Enhanced view totally extraperitoneal (eTEP) repair for ventral hernia: A prospective analysis of peri-operative outcomes, functional recovery, and cost effectiveness.

Journal of minimal access surgery·2026
Same author

Individual and combined impacts of potentially toxic elements, and tropospheric ozone on crop physiology, transcriptomic responses, and yield performance: a review.

Physiology and molecular biology of plants : an international journal of functional plant biology·2026
Same author

Distribution of resistant Aegilops tauschii populations across China and its target-site resistance mechanism.

Pesticide biochemistry and physiology·2026
Same author

Water as a Sustainable Hydrogen Donor in Transfer Hydrogenation and Reduction Reactions.

Chemical record (New York, N.Y.)·2026

Related Experiment Video

Updated: Aug 8, 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

626

Load-Balancing Strategy: Employing a Capsule Algorithm for Cutting Down Energy Consumption in Cloud Data Centers for

Jyoti Singh1, Jingchao Chen1, Santar Pal Singh2

  • 1College of Information Science & Technology, Donghua University, Shanghai, China.

Computational Intelligence and Neuroscience
|March 2, 2023
PubMed
Summary

Cloud computing data centers can conserve energy using the Capsule Significance Level of Energy Consumption (CSLEC) pattern. This method balances performance and energy use, achieving high accuracy in predictions.

More Related Videos

Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
Automated Measurement of Cryptococcal Species Polysaccharide Capsule and Cell Body
08:08

Automated Measurement of Cryptococcal Species Polysaccharide Capsule and Cell Body

Published on: January 11, 2018

7.4K

Related Experiment Videos

Last Updated: Aug 8, 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

626
Quasi-light Storage for Optical Data Packets
07:45

Quasi-light Storage for Optical Data Packets

Published on: February 6, 2014

10.9K
Automated Measurement of Cryptococcal Species Polysaccharide Capsule and Cell Body
08:08

Automated Measurement of Cryptococcal Species Polysaccharide Capsule and Cell Body

Published on: January 11, 2018

7.4K

Area of Science:

  • Computer Science
  • Energy Efficiency
  • Cloud Computing

Background:

  • Cloud computing leverages virtualization and data centers for remote services.
  • Traditionally, cloud data centers prioritize performance over energy efficiency.
  • Balancing performance and energy consumption is a key challenge in cloud infrastructure.

Purpose of the Study:

  • To introduce a novel pattern for energy conservation in cloud data centers.
  • To address the challenge of reducing energy consumption without impacting performance.
  • To provide a method for understanding and optimizing cloud energy usage.

Main Methods:

  • Utilized the PlanetLab dataset for analysis.
  • Developed the Capsule Significance Level of Energy Consumption (CSLEC) pattern.
  • Employed optimization criteria and energy consumption models for strategy implementation.

Main Results:

  • The CSLEC pattern demonstrates effective energy conservation strategies for cloud data centers.
  • Achieved a 96.7% F1-score in the prediction phase of capsule optimization.
  • Attained 97% data accuracy, enabling precise future value projections.

Conclusions:

  • The CSLEC pattern offers a viable solution for enhancing energy efficiency in cloud data centers.
  • Accurate energy consumption modeling is crucial for effective optimization.
  • The proposed method successfully balances system performance with reduced energy usage.