To optimize the energy consumption of IoT devices in fog computing environments

To provide real-time monitoring of network traffic between cloud and fog nodes

To simulate hardware failures in fog nodes for resilience testing

To determine eligible QoS-, context-, and cost-aware multi-component application deployments to fog infrastructures

The processor is not required to assist the controller in ensuring compliance with the obligations under the GDPR.

The processor can apply another processor without any authorization from the controller.

The processor is allowed to keep personal data after the end of the provision of services without deleting existing copies.

The processor shall act only on instructions from the controller, especially where the transfer of personal data is prohibited.

Energy efficiency testing

Reliability testing

Functionality testing

Enterprise workflow testing

Cybersecurity vulnerabilities; establish test beds with cybersecurity measures

Lack of functionality; improve user interface design

Poor energy efficiency; implement advanced energy-saving algorithms

High cost; develop cost-effective technologies

Imperfect data fusion framework

Inconsistent data fusion framework

Disparate data fusion framework

Correlated data fusion framework

Consent is valid only if the child is at least 16 years old and has given their consent.

Consent is valid regardless of the age of the child as long as it is given by the child themselves.

Consent is valid if the child is at least 14 years old and has given their consent.

Consent is not required for processing the personal data of children under any circumstances.

Principal Component Analysis (PCA)

Linear Regression

Decision Trees

K-Nearest Neighbors (KNN)

Lack of historical data for analysis

Inability to process real-time data in the cloud

Difficulty in handling diverse protocols and data formats in the fog layer

Excessive reliance on human experience

To encrypt and decrypt data during application deployment

To optimize the cost of deploying applications by selecting the cheapest VM types

To dynamically simulate changes in network conditions and estimate QoS-assurance for eligible deployments

To allocate hardware resources across fog nodes in real-time

Enforcement of stringent security protocols

Use of homogeneous data sources

Deployment of additional cloud resources

Reduction of computational workloads