Companies struggle to continuously develop and deploy Artificial Intelligence (AI) models to
complex production systems due to AI characteristics while assuring quality. To ease the …

This paper presents faas‐sim, a simulation framework tailored to serverless edge computing
platforms. In serverless computing, platform operators are tasked with efficiently managing …

This paper presents a framework for defining, performing, and analyzing distributed load
testing experiments for benchmarking edge-cloud clusters. This end-to-end workflow helps …

Hybrid simulation has emerged as a popular method of modelling complex systems and
addressing real-world problems. However, in the existing literature, there is no clear method …

Edge Intelligence is a paradigm that promises to bring highly-responsive AI applications to
the end users. Edge computing is the main enabler paradigm for this scenario, where …

Conceptual modelling (CM) is fundamental to the complex activity of simulationmodelling,
yet it remains widely misunderstood. The emergence and growing adoption of hybrid …

Das vernetzte Zeitalter, in dem Milliarden von Geräten Echtzeitdaten sammeln und
verarbeiten, erfordert Anpassungen in der aktuellen Technologieinfrastruktur, um die …

US20230010019A1 - System and method to optimize processing pipeline for key performance
indicators - Google Patents US20230010019A1 - System and method to optimize processing …

The major objective of this chapter is to portray the importance of Python language to create
essential platforms where regular activities of machines could be observe and identify new …