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

Integrated Healthcare System01:20

Integrated Healthcare System

1.9K
An integrated healthcare system (IHS) is a set of organizations that provides for or arranges to provide coordinated and continuous service to a defined population. The IHS takes responsibility for that particular population's health status and outcome, both clinically and fiscally. An integrated healthcare system is a well-organized, well-coordinated, and collaborative network. The integrated delivery system is a network that connects different healthcare providers to deliver organized,...
1.9K
Issues And Trends In Healthcare Delivery System01:29

Issues And Trends In Healthcare Delivery System

5.9K
The issues and trends in healthcare delivery are constantly changing. The COVID-19 pandemic is one recent issue that wreaked havoc on healthcare systems, causing a shortage of healthcare workers, high demand for medicines and supplies, and increased medical expenditure due to a lack of insurance. Other issues include rising healthcare costs and care fragmentation.
Cost Containment
Payment for healthcare services has historically promoted adoption of costly and often unnecessary or inefficient...
5.9K
Tertiary Healthcare System01:21

Tertiary Healthcare System

1.9K
Specialized care provided over an extended period is called tertiary care. Usually, a primary or secondary care physician will refer a patient to tertiary care. A patient's maximum physical and mental function is restored in tertiary care, which is caused due to the impact of a chronic illness or condition. Tertiary care aims to achieve the highest level of functioning possible while managing chronic illness. For example, a patient who falls and fractures their hip will need secondary care...
1.9K
Design Example: Resistive Touchscreen01:14

Design Example: Resistive Touchscreen

484
A device engineer plays a crucial role in designing user interfaces for mobile devices. One such interface is the resistive touchscreen, which fundamentally consists of two metallic layers: a flexible upper layer and a rigid lower layer, separated by a narrow gap. The high resistance between these two layers is a key characteristic of this design.
When a user touches the screen, the two layers make contact at a specific point known as the touchpoint. This contact reduces the resistance between...
484
Stereotype Content Model02:16

Stereotype Content Model

14.9K
The Stereotype Content Model (SCM) was first proposed by Susan Fiske and her colleagues (Fiske, Cuddy, Glick & Xu, 2002; see also Fiske, 2012 and Fiske, 2017). The SCM specifies that when someone encounters a new group, they will stereotype them based on two metrics: warmth—or that group’s perceived intent, and how likely they are to provide help or inflict harm—and competence—or their ability to carry out that objective. Depending on the warmth-competence...
14.9K
Decision Making: Traditional Method01:14

Decision Making: Traditional Method

4.3K
The process of hypothesis testing based on the traditional method includes calculating the critical value, testing the value of the test statistic using the sample data, and interpreting these values.
First, a specific claim about the population parameter is decided based on the research question and is stated in a simple form. Further, an opposing statement to this claim is also stated. These statements can act as null and alternative hypotheses, out of which a null hypothesis would be a...
4.3K

You might also read

Related Articles

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

Sort by
Same author

A reliable starfish optimization algorithm for establishing equivalent circuit of proton exchange membrane fuel cell.

Scientific reports·2026
Same author

Is Open Reduction Internal Fixation an Option for the Management of Vancouver B2 Periprosthetic Hip Fractures?

Indian journal of orthopaedics·2026
Same author

Spatio-temporal epidemic forecasting with graph-based transformer.

International journal of health geographics·2026
Same author

ABA-centric signaling networks for drought resilience in cereals: from transcriptional reprogramming to epigenetic memory.

Functional plant biology : FPB·2026
Same author

Plant growth promoting bacteria regulate antioxidant synthesis in wheat under chromium stress leading to stabilization in photosynthetic activity.

Physiology and molecular biology of plants : an international journal of functional plant biology·2026
Same author

The Children's Urgent Reduction of Forearm Fractures in the Emergency Department (CURFFED) project : a national prospective trainee-led collaborative audit of practice.

Bone & joint open·2026

Related Experiment Video

Updated: Oct 17, 2025

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

An integrated three-tier trust management framework in mobile edge computing using fuzzy logic.

Merrihan B M Mansour1, Tamer Abdelkader2, Mohamed Hashem2

  • 1BAEPS, The British University in Egypt, Egypt.

Peerj. Computer Science
|October 7, 2021
PubMed
Summary
This summary is machine-generated.

This study introduces a three-tier trust management framework for mobile edge computing (MEC) to evaluate cloud service providers based on service level agreements, performance, and violations. The integrated system enhances user trust and provider accountability in edge computing environments.

Keywords:
Fuzzy logicMobile edge computingProcessing performanceService level agreementTrust management

More Related Videos

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.3K

Related Experiment Videos

Last Updated: Oct 17, 2025

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
The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm
06:18

The Collective Trust Game: An Online Group Adaptation of the Trust Game Based on the HoneyComb Paradigm

Published on: October 20, 2022

2.3K
Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack
07:31

Implementation of a Real-Time Psychosis Risk Detection and Alerting System Based on Electronic Health Records using CogStack

Published on: May 15, 2020

7.3K

Area of Science:

  • Computer Science
  • Network Engineering
  • Cybersecurity

Background:

  • Mobile Edge Computing (MEC) extends cloud computing by bringing resources closer to users.
  • Users face trust issues regarding data security, privacy, and performance with cloud service providers.
  • Existing trust models may not adequately address the dynamic nature of MEC environments.

Purpose of the Study:

  • To propose an integrated three-tier trust management framework for evaluating cloud service providers in MEC.
  • To enhance user confidence in cloud service providers by assessing security, performance, and compliance.
  • To provide a mechanism for service providers to identify and improve areas of weakness.

Main Methods:

  • A three-tier framework evaluating Service Level Agreement (SLA) compliance (Tier I), processing performance (Tier II), and violation metrics (Tier III).
  • Phase I: Independent evaluation of each tier for service providers.
  • Phase II: Integration of the three tiers using a fuzzy inference system (FIS) to derive an overall trust value and status.

Main Results:

  • Phase I results independently highlight provider performance in SLA compliance, processing success rates, and violation frequency.
  • Phase II results provide a consolidated overall trust value and status for each service provider.
  • The framework effectively disseminates service provider failure points, enabling targeted performance enhancements.

Conclusions:

  • The proposed three-tier trust management framework offers a comprehensive approach to evaluating cloud service providers in MEC.
  • The integrated fuzzy inference system provides a robust method for calculating overall trust.
  • This model enhances transparency and accountability, fostering greater trust in MEC service delivery.