3 citations · 6 across the 10 of their papers we have counts for
11 papers
Hot AI in Cold Space: Thermal-Crosstalk-Aware Scheduling for Sustainable Orbital AI Clusters
Shuyi Chen, Zhengchang Hua, Nikos Tziritas +1
Terrestrial AI training faces an unsustainable energy and water crisis, positioning Orbital Data Centers (ODCs) as a "zero operational carbon" alternative. However, the sub-$10μ\te…
Integrating Heterogeneous Digital Twins in Federated Ecosystems
Christian Vergara-Marcillo, Rami Bahsoon, Nikos Tziritas +3
Digital Twins (DTs) are increasingly used to virtualise physical systems at different scales, enabling monitoring, simulation, and predictions to support decision-making. However,…
TwinLoop: Simulation-in-the-Loop Digital Twins for Online Multi-Agent Reinforcement Learning
Nan Zhang, Zishuo Wang, Shuyu Huang +4
Decentralised online learning enables runtime adaptation in cyber-physical multi-agent systems, but when operating conditions change, learned policies often require substantial tri…
Dynamic Service Scheduling and Resource Management in Energy-Harvesting Multi-access Edge Computing
Shuyi Chen, Panagiotis Oikonomou, Zhengchang Hua +4
Multi-access Edge Computing (MEC) delivers low-latency services by hosting applications near end-users. To promote sustainability, these systems are increasingly integrated with re…
A Digital Twin-based Multi-Agent Reinforcement Learning Framework for Vehicle-to-Grid Coordination
Zhengchang Hua, Panagiotis Oikonomou, Karim Djemame +2
The coordination of large-scale, decentralised systems, such as a fleet of Electric Vehicles (EVs) in a Vehicle-to-Grid (V2G) network, presents a significant challenge for modern c…
Decentralised Blockchain Management Through Digital Twins
Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon +1
The necessity of blockchain systems to remain decentralised limits current solutions to blockchain governance and dynamic management, forcing a trade-off between control and decent…
Dynamic Digital Twins of Blockchain Systems: State Extraction and Mirroring
Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon +2
Blockchain adoption is reaching an all-time high, with a plethora of blockchain architectures being developed to cover the needs of applications eager to integrate blockchain into…
Distributed Simulation for Digital Twins of Large-Scale Real-World DiffServ-Based Networks
Zhuoyao Huang, Nan Zhang, Jingran Shen +4
Digital Twin technology facilitates the monitoring and online analysis of large-scale communication networks. Faster predictions of network performance thus become imperative, espe…
Large Language Models for Explainable Decisions in Dynamic Digital Twins
Nan Zhang, Christian Vergara-Marcillo, Georgios Diamantopoulos +4
Dynamic data-driven Digital Twins (DDTs) can enable informed decision-making and provide an optimisation platform for the underlying system. By leveraging principles of Dynamic Dat…
Dynamic Data-Driven Digital Twins for Blockchain Systems
Georgios Diamantopoulos, Nikos Tziritas, Rami Bahsoon +1
In recent years, we have seen an increase in the adoption of blockchain-based systems in non-financial applications, looking to benefit from what the technology has to offer. Altho…
Towards A Flexible Accuracy-Oriented Deep Learning Module Inference Latency Prediction Framework for Adaptive Optimization Algorithms
Jingran Shen, Nikos Tziritas, Georgios Theodoropoulos
With the rapid development of Deep Learning, more and more applications on the cloud and edge tend to utilize large DNN (Deep Neural Network) models for improved task execution eff…