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20242026
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cs.DC2026

Cloud, Edge, or Split? Profiling Onboard and Split Vision-Language Model Deployment for Drone AI

Zoha Azimi, Reza Farahani, Schahram Dustdar +1

Vision-Language Models (VLMs) enable edge devices like unmanned aerial vehicles (UAVs) to interpret visual observations and reason about complex environments using natural-language…

cs.DC2026

DRLM: Deep Reinforcement Learning-Based LLM Query Orchestration in Edge Environments

Reza Farahani, Zoha Azimi Ourimi, Mario Colosi +3

Large language model (LLM) services increasingly process heterogeneous queries with diverse latency, accuracy, and resource requirements. While edge deployment reduces response tim…

cs.DC2026

LMEdge: QoS-Aware LLM Inference Orchestration on Edge Clusters

Reza Farahani, Zoha Azimi, Mario Colosi +1

Large language model (LLM) services increasingly operate on edge infrastructure, enabling low-latency and privacy-preserving AI services. However, efficiently serving LLM requests…

cs.DC2026

Scale: Deep Reinforcement Learning for Container Scheduling in Serverless Edge Computing

Chen Chen, Zihan Jia, Andrea Sabbioni +2

Serverless computing has emerged as a promising computing paradigm for edge computing. However, adopting the event driven model in highly dynamic, heterogeneous, and distributed ed…

cs.DC2026

Orchestrating Serverless Applications in the Edge Cloud Space Continuum: What Breaks and What is Next?

Hadi Tabatabaee Malazi, Reza Farahani, Nitinder Mohan +1

Serverless computing has matured into an effective execution model for edge cloud environments, enabling function level decomposition, demand driven scaling, and workflow execution…

cs.DC2026

ClusterLess: Deadline-Aware Serverless Workflow Orchestration on Federated Edge Clusters

Reza Farahani, Mario Colosi, Ilir Murturi +4

The recent convergence of edge computing, serverless execution, and Kubernetes (K8s) based container orchestration has enabled the processing of application workflows close to data…

eess.IV2026

DQ-Ladder: A Deep Reinforcement Learning-based Bitrate Ladder for Adaptive Video Streaming

Reza Farahani, Zoha Azimi, Vignesh V Menon +4

Adaptive streaming of segmented video over HTTP typically relies on a predefined set of bitrate-resolution pairs, known as a bitrate ladder. However, fixed ladders often overlook v…

cs.AI2026

Agentic Service Markets Across the Computing Continuum: A Polymatroidal Architecture

Lauri Lovén, Alaa Saleh, Reza Farahani +5

Autonomous AI agents are becoming economic actors. They compose deadline-bound services across the device-edge-cloud continuum and contend for capacity no single operator owns. Thi…