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

Primary Healthcare Services01:30

Primary Healthcare Services

2.0K
Primary care promotes wellness and prevents disease. This care includes health promotion, education, protection (such as immunizations), early disease screening, and environmental considerations. Settings providing this type of healthcare include physician offices, public health clinics, school nursing, and community health nursing.
In 1978, international leaders convened in Alma-Ata, Kazakhstan, for what would be a pivotal event in global health. The Alma-Ata Declaration was the first to call...
2.0K
Preventive Healthcare Services01:30

Preventive Healthcare Services

1.9K
Preventive healthcare services keep people healthy via frequent check-ups, screening, and counseling. They primarily aid in disease prevention rather than treating an acute or chronic illness. Preventive treatment also keeps individuals productive and energetic, allowing them to work well into their retirement years. Examples of preventive care services include:
1.9K
Excess Pressure Inside a Drop and a Bubble01:13

Excess Pressure Inside a Drop and a Bubble

3.4K
The shape of a small drop of liquid can be considered spherical, neglecting the effect of gravity. This drop can further be considered as two equal hemispherical drops put together due to surface tension. The forces acting on the spherical drop are due to the pressure of the liquid inside the drop, the pressure due to air outside the drop, and the force due to the surface tension acting on the two hemispherical drops.
3.4K
Functional Groups02:45

Functional Groups

87.8K
Functional groups are a group of atoms with characteristic properties, which when linked to the carbon skeleton of a molecule, alter the properties of that molecule. For example, the presence of certain functional groups on a molecule will make them hydrophilic, whereas others will make them hydrophobic. These functional groups are an indispensable part of organic chemistry and important components of biological molecules, such as carbohydrates, proteins, lipids, and nucleic acids. Each...
87.8K
Functional Groups02:45

Functional Groups

24.2K
24.2K
Generation Time01:22

Generation Time

1.4K
Bacterial generation time, the period required for a bacterial population to double during its exponential growth phase, serves as a critical measure of microbial growth dynamics under optimal conditions. This parameter varies significantly across bacterial species and can be influenced by factors such as temperature, pH, and the availability of nutrients. For example, Escherichia coli can achieve a generation time of approximately 20 minutes, while Mycobacterium tuberculosis exhibits a much...
1.4K

You might also read

Related Articles

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

Sort by
Same author

Departure Process of Actively Managed Queue with Dependent Job Sizes.

Entropy (Basel, Switzerland)·2026
Same author

Workload of Queueing Systems with Autocorrelated Service Times.

Entropy (Basel, Switzerland)·2025
Same author

Transient GI/MSP/1/N Queue.

Entropy (Basel, Switzerland)·2024
Same author

On the Influence of AQM on Serialization of Packet Losses.

Sensors (Basel, Switzerland)·2023
Same author

Non-Stationary Characteristics of AQM Based on the Queue Length.

Sensors (Basel, Switzerland)·2023
Same author

Impact of the Dropping Function on Clustering of Packet Losses.

Sensors (Basel, Switzerland)·2022

Related Experiment Video

Updated: Jan 22, 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

8.5K

Queues with the dropping function and general service time.

Andrzej Chydzinski1, Blazej Adamczyk1

  • 1Institute of Informatics, Silesian University of Technology, Gliwice, Poland.

Plos One
|July 18, 2019
PubMed
Summary
This summary is machine-generated.

This study analyzes queueing systems with dropping functions and infinite buffers. New stability conditions and formulas for queue size and loss ratio are derived, optimizing system performance.

More Related Videos

Picoinjection of Microfluidic Drops Without Metal Electrodes
09:20

Picoinjection of Microfluidic Drops Without Metal Electrodes

Published on: April 18, 2014

11.6K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.1K

Related Experiment Videos

Last Updated: Jan 22, 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

8.5K
Picoinjection of Microfluidic Drops Without Metal Electrodes
09:20

Picoinjection of Microfluidic Drops Without Metal Electrodes

Published on: April 18, 2014

11.6K
Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning
10:39

Qualitative and Quantitative Validation of Tools with Rating Scales Aimed at Assessing the Quality of University Service-Learning

Published on: August 29, 2025

1.1K

Area of Science:

  • Operations Research
  • Probability Theory
  • Computer Science

Background:

  • Queueing systems are fundamental in performance analysis.
  • Existing models often assume simplified service time distributions or stability conditions.
  • The impact of dropping functions on system performance requires further investigation.

Purpose of the Study:

  • To analyze queueing systems with dropping functions, infinite buffers, and general service time distributions.
  • To establish a more generalized stability condition beyond the standard ρ < 1.
  • To derive key performance metrics and explore optimization strategies.

Main Methods:

  • Mathematical analysis of queueing models.
  • Derivation of stability conditions.
  • Formulation of queue size distribution, loss ratio, and busy period duration.
  • Numerical analysis and optimization techniques.

Main Results:

  • A novel, generalized stability condition for the queueing system is proven.
  • Exact formulas for queue size distribution, loss ratio, and mean busy period duration are derived.
  • Numerical examples demonstrate the optimization of the dropping function's shape to minimize combined costs.

Conclusions:

  • The derived stability condition offers broader applicability than traditional metrics.
  • The provided formulas enable precise performance evaluation of systems with dropping functions.
  • Optimization of the dropping function can significantly improve system efficiency and cost-effectiveness.