Health data science systems are becoming key for supporting healthcare decision-making
processes. However, these systems should achieve continuous data processing and adapt …

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 …

This paper presents an adaptive data delivery method for data science pipelines. While this
method is feasible for processes communicating over any network, in this work we focus on …

This article presents the design and implementation of a reliable computing virtual container‐
based model with integrity verification for data processing strategies named the reliability …

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 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 …

Construcción de sistemas auto-adaptables en la nube mediante patrones dinámicos Tesis
que presenta: Genaro Juan Sánchez Galle Page 1 Centro de Investigación y de Estudios …

Issues such as data syncup, improper schema, data replication etcs are concerns in data
pipleline. Due to demand for messages exchange through data pipelines, it has became a …

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