Edge computing has emerged as a promising computing paradigm that enables real-time
data processing and analysis closer to the data source and boosts decision-making …

Context: Microservices running and being powered by Edge Computing have been gaining
much attention in the industry and academia. Since 2014, when Martin Fowler popularized …

Edge Computing harnesses resources close to the data sources to reduce end-to-end
latency and allow real-time process automation for verticals such as Smart City, Healthcare …

Cloud services progressively shift from monolithic applications to complex graphs of loosely-
coupled microservices. This article aims at understanding the implications microservices …

The synergy between the Internet of Things (IoT) and big data technologies has resulted in
the great development of multiple smart applications in varied fields such as energy …

Automated deployment and run-time management of microservices-based applications in
cloud computing environments is relatively well studied with several mature solutions …

The paradigm of edge computing has formed an innovative scope within the domain of the
Internet of Things (IoT) through expanding the services of the cloud to the network edge to …

Distributed computation and AI processing at the edge has been identified as an efficient
solution to deliver real-time IoT services and applications compared to cloud-based …

Edge computing and cloud computing are rapidly evolving technologies that have the
potential to significantly impact the future of information technology and various industries …

Abstract In the Internet of Things (IoT) scenario, the hardware resources in the edge
computing paradigm are limited, so the applications in the cloud computing paradigm are …