… a brief history of my involvement in parallel intelligence and complete the recounting of
my … I have received after my editorials on parallel emergency, parallel healthcare, and parallel …

… artificial intelligence … intelligence (DAI) empowered by end-edgecloud computing (EECC),
where the heterogeneous capabilities of on-device computing, edge computing, and cloud …

… on distributed intelligence on the continuum, we review articles in the fields of Machine
Learning (ML) and Data Analytics (DA) applied on Edge, Cloud, and Edge-to-Cloud environments…

Cloud computing (CC) is a centralized computing paradigm that accumulates resources
centrally and provides these resources to users through Internet. Although CC holds a large …

… intelligent, we do not only mean that the workflows include AI elements in their application
components, but also that the runtime can make intelligent … and AI convergence and presents …

… Innovative Artificial Intelligence (AI) applications have powered transformational solutions
for big data challenges in industry and technology that now drive a multi-billion dollar industry, …

… and intelligent applications by using of Cloud systems and software agents. The convergence
… distributed infrastructures and Cloud computing systems that need intelligent software with …

… programming framework developed to ease the implementation of parallel applications on
distributed systems spanning from HPC clusters, to clouds and computing grids. On the other …

… promising technology convergence is critical … -AICloud Computing convergence is needed.
The purpose of this thesis is to evaluate the convergence of HPC with Big Data, AI, and Cloud …

… for intelligent traffic management. At the same time, real-time digital twin depends on strong
computation from vehicle side to cloud side. … servers, a parallel intelligence-driven resource …