16 citations · 16 across the 7 of their papers we have counts for
8 papers
AgentWare: Automating the Lifecycle of Agentic Applications across the Edge-to-Cloud Continuum
Michalis Kasioulis, Moysis Symeonides, George Pallis +1
Deploying LLM-enabled agentic applications across the Edge-to-Cloud continuum remains challenging due to hardware heterogeneity, deployment complexity, limited observability, and t…
Evaluating Accuracy and Probabilistic Reliability of Zero-Shot Time Series Foundation Models
Panagiotis Michael, Moysis Symeonides, Demetris Trihinas
Time Series Foundation Models (TSFMs) promise a paradigm shift toward zero-shot forecasting by eliminating task-specific training. However, existing works often overlook trade-offs…
MCP-GRANITE Benchmark: GRANularity Interface TEsting for MCP-Based LLM Agents
Demetris Paschalides, Moysis Symeonides, George Pallis +1
As LLM agents increasingly interact with external tools through standardized protocols such as MCP, tool-interface design becomes a critical yet underexplored factor. How funψtiona…
A Measurement Study of LLM Inference Trade-offs Across Edge Continuum Hardware
Maysam Khatib, Moysis Symeonides, Demetris Trihinas +2
Large language models (LLMs) are increasingly used as backends for intelligent web services, but serving them across the edge continuum requires balancing quality, latency, model f…
InFactPlanner: Planning Sustainable Geo-Distributed LLM Data Centers
Nicoletta Tsiopani, Moysis Symeonides, George Pallis +1
The rapid growth of LLM inference is shifting sustainability concerns from one-time training to continuous serving, where infrastructure decisions shape energy use, carbon emission…
Automating Multi-Tenancy Performance Evaluation on Edge Compute Nodes
Joanna Georgiou, Moysis Symeonides, George Pallis +1
Edge Computing emerges as a promising alternative of Cloud Computing, with scalable compute resources and services deployed in the path between IoT devices and Cloud. Since virtual…
Data-Driven Energy Modeling of Industrial IoT Systems: A Benchmarking Approach
Dimitris Kallis, Moysis Symeonides, Marios D. Dikaiakos
The widespread adoption of IoT has driven the development of cyber-physical systems (CPS) in industrial environments, leveraging Industrial IoTs (IIoTs) to automate manufacturing p…
Towards Energy Consumption and Carbon Footprint Testing for AI-driven IoT Services
Demetris Trihinas, Lauritz Thamsen, Jossekin Beilharz +1
Energy consumption and carbon emissions are expected to be crucial factors for Internet of Things (IoT) applications. Both the scale and the geo-distribution keep increasing, while…