16 citations · 16 across the 7 of their papers we have counts for
6 papers · 1 filter
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…
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…
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…