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

Energy Conservation and Bernoulli's Equation01:16

Energy Conservation and Bernoulli's Equation

9.1K
Applying the conservation of energy principle or the work-energy theorem to an incompressible, inviscid fluid in laminar, steady, irrotational flow leads to Bernoulli's equation. It states that the sum of the fluid pressure, potential, and kinetic energy per unit volume is constant along a streamline.
All the terms in the equation have the dimension of energy per unit volume. The kinetic energy per unit volume is called the kinetic energy density, and the potential energy per unit volume is...
9.1K
Conservation of Energy: Application01:12

Conservation of Energy: Application

7.0K
When solving problems using the energy conservation law, the object (system) to be studied should first be identified. Often, in applications of energy conservation, we study more than one body at the same time. Second, identify all forces acting on the object and determine whether each force doing work is conservative. If a non-conservative force (e.g., friction) is doing work, then mechanical energy is not conserved. The system must then be analyzed with non-conservative work. Third, for...
7.0K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

693
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...
693
Conservation of Energy in Control Volume01:14

Conservation of Energy in Control Volume

894
Consider a turbine operating under steady-flow conditions. The control volume is drawn around the turbine, with fluid entering at one point and exiting at another. The turbine extracts energy from the fluid, which performs mechanical work (shaft work).
For steady flow systems, the time derivative of the stored energy becomes zero since there is no energy accumulation within the control volume. This simplifies the energy equation to:
894
Ampere-Maxwell's Law: Problem-Solving01:17

Ampere-Maxwell's Law: Problem-Solving

714
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...
714
Energy Budgets00:51

Energy Budgets

9.6K
Organisms must balance energy intake with the energy required for growth, maintenance and reproduction. These trade-offs result in a variety of survivorship and reproductive strategies, including semelparity and iteroparity. Semelparous species, like annual plants, have only one reproductive episode in their lifetimes and consequently have short lifespans. Iteroparous species, by contrast, have many reproductive events during their lifetimes but have relatively few offspring. These two...
9.6K

You might also read

Related Articles

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

Sort by
Same author

VMAM-NET: A Model Agnostic Meta-Learning Network for Rare De Novo Glioblastoma Diagnosis.

Journal of imaging informatics in medicine·2026
Same author

ParkEnNET: a majority voting-based ensemble transfer learning framework for early Parkinson's disease detection.

Acta neurologica Belgica·2025
Same author

Advancing rare neurological disorder diagnosis: Addressing challenges with systematic reviews and AI-driven MRI meta-trans learning framework for neurodegenerative disorders.

Ageing research reviews·2025
Same author

Wnts' fashion statement: from body stature to dysplasia.

BoneKEy reports·2014
Same author

Transcriptional responses of neonatal mouse lung to hyperoxia by Nrf2 status.

Cytokine·2013
Same author

Activation of Hedgehog signaling by loss of GNAS causes heterotopic ossification.

Nature medicine·2013

Related Experiment Video

Updated: Aug 19, 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

634

Adaptive Computational Solutions to Energy Efficiency in Cloud Computing Environment Using VM Consolidation.

Bhagyalakshmi Magotra1, Deepti Malhotra2, Amit Kr Dogra3

  • 1MIET: Model Institute of Engineering and Technology, Jammu, India.

Archives of Computational Methods in Engineering : State of the Art Reviews
|December 5, 2022
PubMed
Summary

Cloud computing

More Related Videos

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.3K

Related Experiment Videos

Last Updated: Aug 19, 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

634
Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption
10:36

Author Spotlight: Optimization of Airflow Velocities in Battery Cooling Systems for Enhanced Thermal Performance and Reduced Energy Consumption

Published on: November 3, 2023

1.7K
Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes
11:05

Knowledge Based Cloud FE Simulation of Sheet Metal Forming Processes

Published on: December 13, 2016

12.3K

Area of Science:

  • Computer Science
  • Environmental Science

Background:

  • Cloud computing offers on-demand services, increasing IT efficiency but leading to resource over-provisioning.
  • Over-provisioning in cloud data centers results in significant energy consumption and operational costs.
  • High energy use by data centers contributes to environmental concerns like increased CO2 emissions.

Purpose of the Study:

  • To explore computational solutions for optimizing resource utilization in cloud environments.
  • To address the environmental impact of energy consumption in cloud data centers.
  • To provide a comprehensive analysis of virtual machine consolidation techniques.

Main Methods:

  • Review and analysis of statistical, deterministic, probabilistic, machine learning, and optimization-based computational solutions.
  • Comparative analysis of different computational methods based on architecture, consolidation steps, objectives, simulators, and resources.
  • Development of a taxonomy for virtual machine consolidation.

Main Results:

  • Identified various computational approaches for efficient cloud resource management.
  • Presented a comparative analysis highlighting the strengths and weaknesses of different methods.
  • Established a taxonomy for virtual machine consolidation.

Conclusions:

  • Optimizing resource usage through techniques like server load balancing and minimizing active nodes is crucial for energy efficiency.
  • Effective virtual machine consolidation can reduce operational costs and environmental impact.
  • Further research is needed to address emerging challenges and gaps in virtual machine consolidation.