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

IP3/DAG Signaling Pathway01:11

IP3/DAG Signaling Pathway

13.0K
Membrane lipids such as phosphatidylinositol (PI) are precursors for several membrane-bound and soluble second messengers. Specific kinases phosphorylate PI and produce phosphorylated inositol phospholipids. One such inositol phospholipids are the  phosphatidylinositol-4,5 bisphosphate [PI(4,5)P2], present in the inner half of the lipid bilayer. Upon ligand binding, GPCR stimulates Gq proteins to turn on phospholipase Cꞵ. Activated phospholipase Cꞵ cleaves PI(4,5)P2 and...
13.0K
Distributed Loads: Problem Solving01:21

Distributed Loads: Problem Solving

840
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...
840
Distributed Loads01:19

Distributed Loads

717
Distributed loads are a common type of load that engineers and scientists encounter in various practical situations. Distributed loads often refer to a type of load spread over a surface or a structure and can be modeled as continuous force per unit area.
For example, consider a bookshelf filled with books stacked vertically adjacent to each other. The weight of the books is evenly distributed over the length of the shelf. As a result, the pressure at different locations on the surface of the...
717
Cable Subjected to a Distributed Load01:24

Cable Subjected to a Distributed Load

866
The analysis of suspension bridges is a complex and critical process that involves multiple factors, including the shape and tension of the main cables. The main cables of suspension bridges are subjected to distributed loads, which result in changes in tensile forces and deformation of the cable. These loads must be carefully considered to ensure that the bridge is safe and capable of supporting the weight of different loads.
866
Network Covalent Solids02:18

Network Covalent Solids

15.2K
Network covalent solids contain a three-dimensional network of covalently bonded atoms as found in the crystal structures of nonmetals like diamond, graphite, silicon, and some covalent compounds, such as silicon dioxide (sand) and silicon carbide (carborundum, the abrasive on sandpaper). Many minerals have networks of covalent bonds.
To break or to melt a covalent network solid, covalent bonds must be broken. Because covalent bonds are relatively strong, covalent network solids are typically...
15.2K
Short-distance Transport of Resources02:12

Short-distance Transport of Resources

16.8K
Short-distance transport refers to transport that occurs over a distance of just 2-3 cells, crossing the plasma membrane in the process. Small uncharged molecules, such as oxygen, carbon dioxide, and water, can diffuse across the plasma membrane on their own. In contrast, ions and larger molecules require the assistance of transport proteins due to their charge or size. Transport across membranes also occurs within individual cells, playing a variety of essential roles for the plant as a whole.
16.8K

You might also read

Related Articles

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

Sort by
Same author

Identifying Ovarian Cancer-Associated EV mRNA Expression Profiles Using Unsupervised Machine Learning and Non-Negative Matrix Factorization.

Bioengineering (Basel, Switzerland)·2026
Same author

Integrated Analysis of Circadian and Sleep Signatures in Depression and Schizophrenia Using Multi-Day Actigraphy.

Bioengineering (Basel, Switzerland)·2026
Same author

Increased expression of a subset of genes within reduced copy number regions across multiple cancer types.

bioRxiv : the preprint server for biology·2026
Same author

Detecting optimal biomarkers in ovarian cancer cells from high-dimensional mRNA expression data using machine learning.

Computer methods and programs in biomedicine·2026
Same author

Subtype Characterization of Ovarian Cancer Cell Lines Using Machine Learning and Network Analysis: A Pilot Study.

Cancers·2025
Same author

A Hybrid Sequential Feature Selection Approach for Identifying New Potential mRNA Biomarkers for Usher Syndrome Using Machine Learning.

Biomolecules·2025
See all related articles

Related Experiment Video

Updated: Oct 25, 2025

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

8.2K

Named Data Networking for Content Delivery Network Workflows.

Rama Krishna Thelagathoti1, Spyridon Mastorakis1, Anant Shah2

  • 1Computer Science Department, University of Nebraska, Omaha, USA.

Proceedings. IEEE International Conference on Cloud Networking
|August 9, 2021
PubMed
Summary
This summary is machine-generated.

Named Data Networking (NDN) offers benefits for Content Delivery Networks (CDNs) through in-network caching and faster retransmissions during packet loss. NDN shows lower Time To First Byte (TTFB) and transparent failover compared to HTTP.

More Related Videos

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

3.9K
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

871

Related Experiment Videos

Last Updated: Oct 25, 2025

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

8.2K
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

3.9K
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

871

Area of Science:

  • Computer Science
  • Networking

Background:

  • Content Delivery Networks (CDNs) are crucial for efficient content distribution.
  • Named Data Networking (NDN) presents an alternative architecture with unique features like in-network caching and intelligent forwarding.

Purpose of the Study:

  • To evaluate the architectural properties and features of NDN within Content Delivery Network (CDN) workflows.
  • To compare NDN's performance against HTTP-based content delivery, focusing on Point of Presence (PoP) to PoP and PoP to device connectivity.

Main Methods:

  • Utilized the Apache Traffic Server (ATS) platform to establish a CDN-like caching hierarchy.
  • Conducted comparative experiments between NDN and HTTP for content delivery.

Main Results:

  • HTTP delivered content faster under stable conditions due to its mature software stack.
  • NDN outperformed HTTP in the presence of packet loss (as low as 0.1%) due to packet-level caching and fast retransmissions.
  • NDN demonstrated a consistently lower Time To First Byte (TTFB) (~50ms) compared to HTTP (~100ms).
  • NDN offers transparent failover capabilities, unlike HTTP.

Conclusions:

  • NDN's inherent properties, including in-network caching and stateful forwarding, can significantly benefit content providers and users.
  • NDN's performance advantages in packet loss scenarios and lower TTFB make it a compelling alternative for future CDN architectures.
  • NDN's features support implementation-agnostic network properties beneficial for CDN workflows.