29 citations · 36 across the 17 of their papers we have counts for
11 papers · 1 filter
A Taxonomy of Performance Metrics for the Distributed Computing Continuum
Praveen Kumar Donta, Boris Sedlak, Alfreds Lapkovskis +6
Performance evaluation is essential for understanding, comparing, and improving computing systems, including Distributed Computing Continuum Systems (DCCS). In recent years, comput…
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…
Active Inference-Based Adaptive Routing for Heterogeneous Edge AI Services
Zihang Wang, Boris Sedlak, Schahram Dustdar
Edge computing enables AI inference closer to data sources, reducing latency and bandwidth costs. However, orchestrating AI services across the cloud-edge continuum remains challen…
Visual Insights into Agentic Optimization of Pervasive Stream Processing Services
Boris Sedlak, Víctor Casamayor Pujol, Schahram Dustdar
Processing sensory data close to the data source, often involving Edge devices, promises low latency for pervasive applications, like smart cities. This commonly involves a multitu…
Service Orchestration in the Computing Continuum: Structural Challenges and Vision
Boris Sedlak, Víctor Casamayor Pujol, Ildefons Magrans de Abril +3
The Computing Continuum (CC) integrates different layers of processing infrastructure, from Edge to Cloud, to optimize service quality through ubiquitous and reliable computation.…
Multi-Dimensional Autoscaling of Stream Processing Services on Edge Devices
Boris Sedlak, Philipp Raith, Andrea Morichetta +2
Edge devices have limited resources, which inevitably leads to situations where stream processing services cannot satisfy their needs. While existing autoscaling mechanisms focus e…
Distributed Intelligence in the Computing Continuum with Active Inference
Victor Casamayor Pujol, Boris Sedlak, Tommaso Salvatori +2
The Computing Continuum (CC) is an emerging Internet-based computing paradigm that spans from local Internet of Things sensors and constrained edge devices to large-scale cloud dat…
Benchmarking Dynamic SLO Compliance in Distributed Computing Continuum Systems
Alfreds Lapkovskis, Boris Sedlak, Sindri Magnússon +2
Ensuring Service Level Objectives (SLOs) in large-scale architectures, such as Distributed Computing Continuum Systems (DCCS), is challenging due to their heterogeneous nature and…
SLO-Aware Task Offloading within Collaborative Vehicle Platoons
Boris Sedlak, Andrea Morichetta, Yuhao Wang +4
In the context of autonomous vehicles (AVs), offloading is essential for guaranteeing the execution of perception tasks, e.g., mobile mapping or object detection. While existing wo…
Equilibrium in the Computing Continuum through Active Inference
Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta +1
Computing Continuum (CC) systems are challenged to ensure the intricate requirements of each computational tier. Given the system's scale, the Service Level Objectives (SLOs) which…
Designing Reconfigurable Intelligent Systems with Markov Blankets
Boris Sedlak, Victor Casamayor Pujol, Praveen Kumar Donta +1
Compute Continuum (CC) systems comprise a vast number of devices distributed over computational tiers. Evaluating business requirements, i.e., Service Level Objectives (SLOs), requ…