The edge, the fog, the cloud, and even the end-user's devices play a key role in the
management of the health sensitive content/data lifecycle. However, the creation and …

This paper presents a processing model for big IoT data. The model includes a continuous
delivery scheme based on building blocks for constructing software pipelines from the edge …

This paper presents the design, development, and evaluation of PuzzleMesh, an agnostic
service mesh composition model to process large volumes of data in edge-fog-cloud …

The data produced by sensors of IoT devices are becoming keystones for organizations to
conduct critical decision-making processes. However, delivering information to these …

Data synchronization and content delivery services are key to supporting healthcare
dataflows built by organizations. These types of services must prepare and process the data …

MeshStore, a fault-tolerant serverless storage model for edge-fog-cloud continuum systems,
enables organizations to integrate distributed heterogeneous storage resources into a …

The Information Dispersal Algorithm (IDA) has become a key component in several fault-
tolerant massive storage systems. From a theoretical point of view, it is a linear …

In organizational environments, such as in hospitals, data have to be processed, preserved,
and shared with other organizations in a cost-efficient manner. Moreover, organizations …

The exponential data growth (volume), continuously produced from different sources
(variety) such as sensors, endusers, and IoT devices, has motivated the creation of efficient …

The systems that meet non-functional requirements (NFRs) are key for e-health services to
face up events such as service outages and violations of confidentiality. How-ever …