Dynamic management of cloud- and fog-based resources for cyber-physical production systems with a realistic validation architecture and results

A feature-based survey of Fog modeling languages

“…For instance, one engineer may work only at the application level without wanting to refer to underlying virtual and physical infrastructures. While the large majority of the reviewed languages (except for Engelberger et al [16]) do not provide a Multi-View Modeling (MVM) [46] support for multi-dimensional Fog systems, we argue that this is a very important feature to be taken into account in the future. This will notably requires collaboration and synchronization mechanisms allowing Fog system engineers to define their own viewpoints and customize their views accordingly [47] so that they can be better assisted in they daily work.…”

“…Moreover, some concepts to be modeled in Fog systems can be specific to particular application domains and their specific requirements. As an example, this can be clearly noticed in some Fog-based production systems [16]. In order to be able to better adapt to this heterogeneity, we believe that Fog modeling languages should provide common concepts that can then be extended and/or refined with a minimum effort by the Fog engineers.…”

“…Engelsberger et al This solution proposes a set of models and an execution framework specifically targeting Fogbased Cyber Physical Production Systems (CPPS) [16] [17].…”

Dynamic Edge and Cloud Service Integration for Industrial IoT and Production Monitoring Applications of Industrial Cyber-Physical Systems

“…Offloading computation to the edge has been studied in [9] and [8], and edge computing and related paradigms have been surveyed by [10], [14], [28] among others. In [29] the authors propose a method for the dynamic management of service resources for cloud, fog and edge based CPPS. The model includes descriptions of the environment, resources, evaluation metrics and algorithms to optimize the configuration to tackle different needs and heterogeneous systems and hardware.…”

Toward Reliable Fog Computing Architecture for Industrial Internet of Things

“…The recent work of [36] proposed an heuristic approach to dynamically deploy the fog service based on the QoS constraints. The authors in [37] presented the dynamic management of cloud and fog-based resources for cyber-physical production systems. For the future research direction, a machine learning or deep learning approach could be implemented and tested to optimize the dynamic fog service allocation for IIoT.…”