The synergy between Artificial Intelligence and the Edge Computing paradigm promises to
transfer decision-making processes to the periphery of sensor networks without the …

The development of modern information technology generates the need in scientific
research on an innovation platform called the e-science. Implementation of projects aimed at …

Trustworthiness is a critical concern in edge-computing environments as edge devices often
operate in challenging conditions and are prone to failures or external attacks. Despite …

Clustering algorithms are efficient tools for discovering correlations or affinities within large
datasets and are the basis of several Artificial Intelligence processes based on data …

Clustering algorithms are efficient tools for discov-ering correlations or affinities within large
datasets and are the basis of several Machine Learning processes based on data generated …

Cloud computing has brought a new method of resource utilization and management.
Nowadays some researchers are working on cloud-based instrumentation and …

This paper presents a new service for CORBA applications that orchestrates the timely
execution of the tasks of a distributed real-time system in a flexible way. It follows the …

This paper presents an analysis of the existing trends in distributed systems-particularly
cloud computing–regarding the integration of hardware resources using a service …

Today data transmission is very important through different network. Need of Network
security comes to secure data transformation from one network to another network. As the …

Distributed monitoring and control systems based on distributed virtual instrumentation
networks consist of numerous components, ranging from field sensors to monitoring and …