From the 2 of 57 linked papers with an AI index.
2 citations · 5 across the 31 of their papers we have counts for
26 papers · 1 filter
A Taxonomy of Performance Metrics for the Distributed Computing Continuum
Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6
The paper proposes a structured taxonomy of performance metrics for distributed computing continuum systems, categorizing metrics across computing, network, and application levels…
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…
Leveraging Neural Graph Compilers in Machine Learning Research for Edge-Cloud Systems
Alireza Furutanpey, Carmen Walser, Philipp Raith +2
This work presents a comprehensive evaluation of neural network graph compilers across heterogeneous hardware platforms, addressing the critical gap between theoretical optimizatio…
Resilient by Design -- Active Inference for Distributed Continuum Intelligence
Praveen Kumar Donta, Alfreds Lapkovskis, Enzo Mingozzi +1
Failures are the norm in highly complex and heterogeneous devices spanning the distributed computing continuum (DCC), from resource-constrained IoT and edge nodes to high-performan…
Incentives and Evidence in Learned Service Orchestration
Syed Izhan Khilji, Alireza Furutanpey, Schahram Dustdar
Reinforcement learning for service orchestration has been the subject of sustained research for over a decade, yet it is not used in production at scale. The usual explanation is t…
Fair Comparison of Scheduling Algorithms on Heterogeneous Edge Clusters: A Continuous Adaptive Benchmark
Zihang Wang, Boris Sedlak, Juan Luis Herrera +1
Modern Artificial Intelligence (AI) workloads deployed across the heterogeneous tiers of an edge--cloud continuum must satisfy multi-dimensional Service Level Objectives (SLOs) ove…