In the evolving Artificial Intelligence (AI) era, the need for real-time algorithm processing in
marine edge en-vironments has become a crucial challenge. Data acquisition, analysis, and …

Autonomous Surface Vehicles and their management represent one of the significant
challenges in coastal and offshore surveying. Although the development of this kind of data …

Recent advancements in the cloud-based technologies and the Internet of Things (IoT) has
fueled a class of Dynamic Data Driven Application Systems (DDDAS) 1, where realtime …

Smart devices, mobile robots, ubiquitous sensors, and other connected devices in the
Internet of Things (IoT) increasingly require real-time computations beyond their hardware …

Micro-Datacenters (DCs) are emerging as key en-ablers for Edge computing and 5G mobile
networks by pro-viding processing power closer to IoT devices to extract timely analytic …

Modern applications are designed as an interacting set of microservices, and these
applications are typically deployed on container orchestration platforms like Kubernetes …

An extensive list of time-sensitive applications requiring ultra-low latency ranging from a few
microseconds to a few milliseconds are presented in recent publications and IEEE …

One of the key metrics of interest for stream processing applications is “latency”, which
indicates the total time it takes for the application to process and generate insights from …

With the increase of computational enabled devices spread around us, improving the
efficiency of our Cloud-based software solutions frequently led us to use the closest …

This paper introduces the GreenKube framework, which aims to reduce energy consumption
while meeting Quality of Service (QoS) requirements through the use of various AI …