4 citations · 7 across the 10 of their papers we have counts for
5 papers · 1 filter
A New Approach for Evaluating the Performance of Distributed Latency-Sensitive Services
Theodoros Theodoropoulos, John Violos, Antonios Makris +1
Conventional latency metrics are formulated based on a broad definition of traditional monolithic services, and hence lack the capacity to address the complexities inherent in mode…
Converter: A CEAML Reasoner Python package to Streamline Orchestration Across Cloud and Edge Continuum
Ioannis Korontanis, Antonios Makris, Konstantinos Tserpes
In recent years, there has been a concerted effort in both industry and research sectors to innovate new approaches to DevOps. The primary aim is to facilitate developers in transi…
Graph Neural Networks and Reinforcement Learning for Proactive Application Image Placement
Antonios Makris, Theodoros Theodoropoulos, Evangelos Psomakelis +4
The shift from Cloud Computing to a Cloud-Edge continuum presents new opportunities and challenges for data-intensive and interactive applications. Edge computing has garnered a lo…
WEST GCN-LSTM: Weighted Stacked Spatio-Temporal Graph Neural Networks for Regional Traffic Forecasting
Theodoros Theodoropoulos, Angelos-Christos Maroudis, Antonios Makris +1
Regional traffic forecasting is a critical challenge in urban mobility, with applications to various fields such as the Internet of Everything. In recent years, spatio-temporal gra…
Cross-Cluster Networking to Support Extended Reality Services
Theodoros Theodoropoulos, Luis Rosa, Abderrahmane Boudi +6
Extented Reality (XR) refers to a class of contemporary services that are intertwined with a plethora of rather demanding Quality of Service (QoS) and functional requirements. Desp…