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

Multimachine Stability01:25

Multimachine Stability

621
Multimachine stability analysis is crucial for understanding the dynamics and stability of power systems with multiple synchronous machines. The objective is to solve the swing equations for a network of M machines connected to an N-bus power system.
In analyzing the system, the nodal equations represent the relationship between bus voltages, machine voltages, and machine currents. The nodal equation is given by:
621
Machines01:19

Machines

632
Machines are complex structures consisting of movable, pin-connected multi-force members that work together to transmit forces. One example of a machine is the cutting plier, which is used to cut wires by applying forces to its handles. When equal and opposite forces are exerted on the handles of the cutting plier, they cause the cutting edges to come together and apply equal and opposite reaction forces on the wire, which are greater than the applied forces.
A free-body diagram of the...
632
Virtual Work01:20

Virtual Work

1.5K
The principle of virtual work states that if a body is in static and dynamic equilibrium, then the sum of all the virtual work done by all external forces and couple moments for any given virtual displacement must be zero.
In static equilibrium, a body can experience an imaginary or virtual movement, such as displacement or rotation. The virtual work done by a force is equal to the dot product of force and virtual displacement in the direction of the force. When it comes to virtually rotating a...
1.5K
Parallel Processing01:20

Parallel Processing

873
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...
873
Methods of Medium Optimization01:28

Methods of Medium Optimization

19
Optimizing growth media enhances microbial proliferation and maximizes product yield. Statistical experimental design methodologies provide structured and reproducible approaches, offering progressively higher levels of robustness and efficiency.The One-Factor-at-a-Time (OFAT) MethodThe One-Factor-at-a-Time (OFAT) method involves adjusting a single variable while keeping all others constant. However, it cannot detect interactions between variables, often leading to suboptimal outcomes when...
19
Distribution Reliability and Automation01:25

Distribution Reliability and Automation

574
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...
574

You might also read

Related Articles

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

Sort by
Same author

A web-based semi-supervised deep learning platform for automated AS-OCT assessment and monitoring of infectious keratitis.

NPJ digital medicine·2026
Same author

Pathogens analysis and modeling of mortality risk in sepsis patients with COVID-19 and without COVID-19.

Scientific reports·2026
Same author

Exploring the Effects of Saturated and Transition-Metal-Substituted Dawson Doping on Electrocatalytic CO<sub>2</sub> Reduction Activity in P<sub>2</sub>W<sub>18</sub>@PCN-222 and P<sub>2</sub>W<sub>17</sub>M@PCN-222 (M = Co, Mn, Ni) Composites.

Inorganic chemistry·2026
Same author

Anthropogenic nitrogen impacts on global PM<sub>2.5</sub>-O<sub>3</sub> co-pollution health burden.

Environment international·2026
Same author

Preparation and preservation performance study of chitosan-gelatin bilayer composite film with excellent mechanical properties and biodegradability.

International journal of biological macromolecules·2026
Same author

A blood-biomarker based CTC-ALRI score predicts recurrence in hepatocellular carcinoma patients following curative resection.

Frontiers in oncology·2026
Same journal

RETRACTED: Zhang et al. A Novel Framework for Reconstruction and Imaging of Target Scattering Centers via Wide-Angle Incidence in Radar Networks. <i>Sensors</i> 2025, <i>25</i>, 6802.

Sensors (Basel, Switzerland)·2026
Same journal

Enhancing Unsupervised Multi-Source Domain Adaptation for Person Re-Identification via Mixture of Experts and Graph-Based Relation.

Sensors (Basel, Switzerland)·2026
Same journal

Development of an Instrumented Glove for Palmar Pressure Assessment in Kayakers.

Sensors (Basel, Switzerland)·2026
Same journal

Development and Experimental Validation of an Autonomous IoT-Based Monitoring System for Real-Time Water Quality Assessment in the Amazon River.

Sensors (Basel, Switzerland)·2026
Same journal

Semi-Supervised Adversarial Learning Framework for Controller Area Network Bus Intrusion Detection.

Sensors (Basel, Switzerland)·2026
Same journal

Smart Optimization Method for Safety Signs in Innovative Manufacturing Environments Integrating Industrial Field IoT Sensors and Knowledge Graphs.

Sensors (Basel, Switzerland)·2026
See all related articles

Related Experiment Video

Updated: Mar 25, 2026

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

8.6K

An Efficient Virtual Machine Consolidation Scheme for Multimedia Cloud Computing.

Guangjie Han1, Wenhui Que2, Gangyong Jia3

  • 1Department of Information and Communication Systems, Hohai University, 200 North Jinling Road, Changzhou 213022, China. hanguangjie@gmail.com.

Sensors (Basel, Switzerland)
|February 23, 2016
PubMed
Summary
This summary is machine-generated.

Multimedia cloud computing consumes significant energy. This study proposes remaining utilization-aware (RUA) and power-aware (PA) algorithms for virtual machine consolidation to reduce energy use and service-level agreement violations.

Keywords:
QoSenergy consumptionmultimedia cloud computingvirtual machine (VM) migration

More Related Videos

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K
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

4.2K

Related Experiment Videos

Last Updated: Mar 25, 2026

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

8.6K
A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants
06:28

A Networked Desktop Virtual Reality Setup for Decision Science and Navigation Experiments with Multiple Participants

Published on: August 26, 2018

6.4K
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

4.2K

Area of Science:

  • Computer Science
  • Information Technology
  • Green Computing

Background:

  • Multimedia cloud computing offers subscription-based services but faces challenges with high energy consumption.
  • Increased energy use in multimedia clouds contributes to greenhouse gas emissions and rising operational costs.
  • Minimizing energy consumption while ensuring quality of service (QoS) and meeting resource demands is crucial for providers.

Purpose of the Study:

  • To introduce novel algorithms for optimizing energy efficiency in multimedia cloud data centers.
  • To address the trade-off between energy consumption and service-level agreement (SLA) violations.
  • To enhance the management of virtual machines (VMs) for reduced environmental impact and cost.

Main Methods:

  • Proposed a remaining utilization-aware (RUA) algorithm for efficient virtual machine (VM) placement.
  • Developed a power-aware (PA) algorithm to identify and shut down idle hosts for energy savings.
  • Integrated RUA and PA algorithms for comprehensive VM consolidation in cloud data centers.

Main Results:

  • Simulation results demonstrate a direct trade-off between data center energy consumption and SLA violations.
  • The RUA algorithm effectively handles variable workloads, preventing host overloading post-VM placement.
  • Significant reduction in SLA violations was achieved through the proposed RUA algorithm.

Conclusions:

  • The combined RUA and PA algorithms offer a viable solution for energy reduction in multimedia cloud computing.
  • Effective VM consolidation is key to balancing energy efficiency with guaranteed quality of service.
  • The RUA algorithm shows promise in managing dynamic workloads and minimizing service disruptions.