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

Mutation, Gene Flow, and Genetic Drift01:09

Mutation, Gene Flow, and Genetic Drift

58.3K
In a population that is not at Hardy-Weinberg equilibrium, the frequency of alleles changes over time. Therefore, any deviations from the five conditions of Hardy-Weinberg equilibrium can alter the genetic variation of a given population. Conditions that change the genetic variability of a population include mutations, natural selection, non-random mating, gene flow, and genetic drift (small population size).
58.3K
Mismatch Repair01:20

Mismatch Repair

4.8K
Organisms are capable of detecting and fixing nucleotide mismatches that occur during DNA replication. This sophisticated process requires identifying the new strand and replacing the erroneous bases with correct nucleotides. Mismatch repair is coordinated by many proteins in both prokaryotes and eukaryotes.
The Mutator Protein Family Plays a Key Role in DNA Mismatch Repair
The human genome has more than 3 billion base pairs of DNA per cell. Prior to cell division, that vast amount of genetic...
4.8K
Genetic Drift03:33

Genetic Drift

39.6K
Natural selection—probably the most well-known evolutionary mechanism—increases the prevalence of traits that enhance survival and reproduction. However, evolution does not merely propagate favorable traits, nor does it always benefit populations.
39.6K
Exon Recombination02:32

Exon Recombination

3.6K
The evolution of new genes is critical for speciation. Exon recombination, also known as exon shuffling or domain shuffling, is an important means of new gene formation. It is observed across vertebrates, invertebrates, and in some plants such as potatoes and sunflowers. During exon recombination, exons from the same or different genes recombine and produce new exon-intron combinations, which might evolve into new genes. 
Exon shuffling follows “splice frame rules.” Each exon...
3.6K
Genome Copying Errors02:46

Genome Copying Errors

4.2K
DNA replication is a well-evolved process that copies millions of base pairs with high fidelity during each cell division. Occasionally a wrong base or a long stretch of wrong bases may get added to the daughter strands. If the errors are left unchecked, cells might accumulate several mutations that might endanger their  survival. Therefore, the copying errors are checked and repaired at three levels.
4.2K
Types of Genetic Transfer Between Organisms02:18

Types of Genetic Transfer Between Organisms

5.3K
5.3K

You might also read

Related Articles

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

Sort by
Same author

High mobility group box 1 (HMGB1) levels in the placenta and in serum in preeclampsia.

American journal of reproductive immunology (New York, N.Y. : 1989)·2011
Same author

Destabilization of coxsackievirus b3 genome integrated with enhanced green fluorescent protein gene.

Intervirology·2011
Same author

[Clinicopathological features of primary splenic histiocytic sarcoma: a case report and literature review].

Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi·2011
Same author

[Comparison of treatment with micro endoscopic discectomy and posterior lumbar interbody fusion using single and double B-Twin expandable spinal spacer].

Zhonghua wai ke za zhi [Chinese journal of surgery]·2011
Same author

Virtual transplantation in designing a facial prosthesis for extensive maxillofacial defects that cross the facial midline using computer-assisted technology.

The International journal of prosthodontics·2011
Same author

Total synthesis of phorboxazole A via de novo oxazole formation: convergent total synthesis.

Journal of the American Chemical Society·2010

Related Experiment Video

Updated: Jun 15, 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

506

Genetic algorithm with skew mutation for heterogeneous resource-aware task offloading in edge-cloud computing.

Ming Chen1,2, Ping Qi1,2, Yangyang Chu3

  • 1Tongling University, Tongling, 244061, China.

Heliyon
|August 26, 2024
PubMed
Summary
This summary is machine-generated.

This study introduces a new heterogeneity-aware task scheduling algorithm for edge-cloud computing. The algorithm uses a genetic algorithm (GA) to improve task completion rates and resource utilization under deadline constraints.

Keywords:
Cloud computingEdge computingGenetic algorithmQoSTask offloadingTask scheduling

More Related Videos

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.4K
Engineering Oncogenic Heterozygous Gain-of-Function Mutations in Human Hematopoietic Stem and Progenitor Cells
12:04

Engineering Oncogenic Heterozygous Gain-of-Function Mutations in Human Hematopoietic Stem and Progenitor Cells

Published on: March 10, 2023

3.5K

Related Experiment Videos

Last Updated: Jun 15, 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

506
Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation
10:24

Generation of Heterogeneous Drug Gradients Across Cancer Populations on a Microfluidic Evolution Accelerator for Real-Time Observation

Published on: September 19, 2019

6.4K
Engineering Oncogenic Heterozygous Gain-of-Function Mutations in Human Hematopoietic Stem and Progenitor Cells
12:04

Engineering Oncogenic Heterozygous Gain-of-Function Mutations in Human Hematopoietic Stem and Progenitor Cells

Published on: March 10, 2023

3.5K

Area of Science:

  • Computer Science
  • Distributed Computing
  • Artificial Intelligence

Background:

  • Edge-cloud computing integrates edge and cloud resources for enhanced services.
  • Effective task scheduling is crucial for edge-cloud performance and efficiency.
  • Existing scheduling algorithms often overlook resource heterogeneity and diverse request types.

Purpose of the Study:

  • To develop a heterogeneity-aware task scheduling algorithm for edge-cloud environments.
  • To enhance task completion rates and resource utilization while meeting deadline constraints.
  • To address limitations of current scheduling approaches in complex edge-cloud systems.

Main Methods:

  • Utilized a genetic algorithm (GA), a meta-heuristic approach, to address the NP-hard scheduling problem.
  • Incorporated task completion rate as the primary optimization objective and resource utilization as a secondary objective.
  • Introduced a novel skew mutation operator within the GA to account for resource heterogeneity during population evolution.

Main Results:

  • The proposed GA-based algorithm demonstrated superior performance in task completion rate.
  • Experimental results validated the algorithm's effectiveness compared to thirteen other scheduling algorithms.
  • The skew mutation operator enhanced the GA's ability to handle resource heterogeneity.

Conclusions:

  • The heterogeneity-aware task scheduling algorithm significantly improves performance in edge-cloud environments.
  • The GA with the skew mutation operator offers a robust solution for complex scheduling challenges.
  • This approach provides a foundation for more efficient and reliable edge-cloud service delivery.