Complex applications, which include microservices, computationally intensive batch jobs, and sophisticated interaction with the external environment, demand for heterogeneous computational infrastructures that range from cloud to HPC and edge computing.

16th International Conference on Open Source Systems

Comparison of Edge and Swarm Computing

Industry and academia shift from the single cloud provider paradigm to cloud federations and alternative models, which orchestrate heterogeneous resources, such as Mobile Edge Computing and Fog Computing.

With the development of new system solutions that integrate traditional cloud computing with the edge/fog computing paradigm, dynamic optimization of service execution has become a challenge due to the edge computing resources being more distributed and dynamic.

Coordinated fog (edge) and cloud computing systems are expected to expedite the evolution of smart farming toward openness and data sharing while making agriculture economically sustainable for smaller farms.

This whitepaper provides an overview of edge computing technology, use cases and existing market developments.

Edge computing locates computing and storage resources at the edge of the network, with the intention of getting data and analytics to the right place, at the right time. It decentralises data processing and avoids non-essential data transmission.

This paper presents an overview of the ECSEL 1 project entitled “MegaModelling at runtime – Scalable model-based framework for continuous development and runtime validation of complex systems” (MegaM@Rt2), whose aim is to address the challenges facing MDE.

Successful software evolution heavily depends on the selection of the right features to be included in the next release. Such selection is difficult, and companies often report bad experiences about user acceptance.

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

Software Product Lines (SPLs) capture commonalities and variability of product families, typically represented by means of feature models.

Over the past decade, cloud services emerged as one of the most promising technologies in IT.