8 citations · 9 across the 7 of their papers we have counts for
4 papers · 1 filter
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…
A Self-stabilizing Control Plane for the Edge and Fog Ecosystems
Zacharias Georgiou, Chryssis Georgiou, George Pallis +2
Fog Computing is now emerging as the dominating paradigm bridging the compute and connectivity gap between sensing devices (a.k.a. "things") and latency-sensitive services. However…