Jove
Visualize
Contact Us

Related Concept Videos

Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

1.2K
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...
1.2K
Symbiosis00:58

Symbiosis

38.2K
Symbiotic relationships are long-term, close interactions between individuals of different species that affect the distribution and abundance of those species. When a relationship is beneficial to both species, this is called mutualism. When the relationship is beneficial to one species but neither beneficial nor harmful to the other species, this is called commensalism. When one organism is harmed to benefit another, the relationship is known as parasitism. These types of relationships often...
38.2K
Parallel Processing01:20

Parallel Processing

860
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...
860
Hybridization of Atomic Orbitals I03:24

Hybridization of Atomic Orbitals I

69.1K
The mathematical expression known as the wave function, ψ, contains information about each orbital and the wavelike properties of electrons in an isolated atom. When atoms are bound together in a molecule, the wave functions combine to produce new mathematical descriptions that have different shapes. This process of combining the wave functions for atomic orbitals is called hybridization and is mathematically accomplished by the linear combination of atomic orbitals. The new orbitals that...
69.1K
Hybridoma Technology01:31

Hybridoma Technology

18.3K
Hybridoma technology is used for the large-scale production of monoclonal antibodies. Monoclonal antibodies bind to only a single antigenic determinant or epitope. Such antibodies are used in research, diagnostics, and disease therapy. The hybridoma technology established in 1975 by Georges Köhler and Cesar Milstein was awarded the Nobel Prize in Medicine in 1984 for revolutionizing research and therapy.
Hybridoma Selection
Commonly used fusion techniques — electroporation,...
18.3K
Hybridization of Atomic Orbitals II03:35

Hybridization of Atomic Orbitals II

50.1K
sp3d and sp3d 2 Hybridization
50.1K

You might also read

Related Articles

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

Sort by
Same author

SELAM: selective ECC-based lightweight authentication for the internet of medical things.

Scientific reports·2026
Same author

Detecting application layer DDoS attack using an advanced signature detection algorithm.

Scientific reports·2026
Same author

Determinants of service utilization and satisfaction with sexual and reproductive health services among displaced and migrant populations in Nigeria: a cross-sectional study.

Conflict and health·2026
Same author

Early childhood caries preventive practices of children with parents who are internally displaced persons, refugees, and migrants in Nigeria: a cross-sectional study.

BMC oral health·2026
Same author

Oral health knowledge and practices of women with children who are internally displaced, refugees, and migrants in Nigeria: a cross-sectional study.

BMC oral health·2025
Same author

Associations of psychological distress, alcohol and substance use, and HIV risk behaviour in forcibly displaced persons and migrants in Nigeria.

Conflict and health·2025
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 Experiment Video

Updated: Mar 18, 2026

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

1.2K

Hybrid Symbiotic Organisms Search Optimization Algorithm for Scheduling of Tasks on Cloud Computing Environment.

Mohammed Abdullahi1,2, Md Asri Ngadi1

  • 1Department of Computer Science, Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia.

Plos One
|June 28, 2016
PubMed
Summary

This study introduces a new Simulated Annealing based Symbiotic Organisms Search (SASOS) algorithm to optimize task scheduling in cloud computing. SASOS improves convergence and solution quality for efficient resource utilization.

Related Experiment Videos

Last Updated: Mar 18, 2026

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

1.2K

Area of Science:

  • Computer Science
  • Artificial Intelligence
  • Cloud Computing

Background:

  • Cloud computing adoption is rapidly increasing, driven by virtualization technologies enabling efficient application deployment.
  • Task scheduling in cloud data centers is a complex, NP-complete problem due to heterogeneous and dynamic resources.
  • Optimizing task scheduling is crucial for efficient resource utilization and meeting performance demands.

Purpose of the Study:

  • To optimize task scheduling in cloud computing environments.
  • To enhance the Symbiotic Organisms Search (SOS) algorithm by integrating Simulated Annealing (SA) for improved performance.
  • To develop a novel hybrid algorithm, Simulated Annealing based SOS (SASOS), for better convergence and solution quality.

Main Methods:

  • A hybrid optimization algorithm, SASOS, combining the global exploration of SOS with the local search capability of SA.
  • A new fitness function considering virtual machine (VM) utilization, makespan reduction, and load balancing.
  • Performance evaluation using the CloudSim toolkit with synthetic and standard workloads.

Main Results:

  • The proposed SASOS algorithm demonstrated superior performance compared to the standard SOS algorithm.
  • SASOS achieved faster convergence rates and reduced response times.
  • The hybrid approach significantly improved VM utilization and reduced the degree of imbalance among VMs, leading to a shorter makespan.

Conclusions:

  • The SASOS algorithm effectively optimizes task scheduling in cloud computing environments.
  • Hybridizing SOS with SA enhances its exploration and exploitation capabilities for complex optimization problems.
  • The proposed method offers a promising solution for efficient resource management and improved performance in cloud data centers.