activity
20162026
most citedEdge computing server placement with capacitated location allocation

100 citations · 190 across the 11 of their papers we have counts for

collaborators

11 papers

cs.DC2026

MELD: A Protocol for Merging Knowledge Across Distributed Agentic Memories

Lauri Lovén, Jaakko Sauvola, Jukka Riekki +1

Autonomous agents share a transport and can call each other's tools, but they cannot share what they know: no protocol lets two agents' memories reconcile a fact phrased two ways,…

cs.DC2026

Autonomic Federated-Market Orchestration for the Edge-Cloud Continuum

Lauri Lovén, Roberto Morabito, Abhishek Kumar +3

The edge-cloud computing continuum demands self-management mechanisms that scale across autonomous administrative domains while honouring tenant- and operator-specified data sovere…

cs.NI2023★ 5 cited

How Can AI be Distributed in the Computing Continuum? Introducing the Neural Pub/Sub Paradigm

Lauri Lovén, Roberto Morabito, Abhishek Kumar +3

This paper proposes the neural publish/subscribe paradigm, a novel approach to orchestrating AI workflows in large-scale distributed AI systems in the computing continuum. Traditio…

cs.MA2022★ 21 cited

Autonomy and Intelligence in the Computing Continuum: Challenges, Enablers, and Future Directions for Orchestration

Henna Kokkonen, Lauri Lovén, Naser Hossein Motlagh +15

Future AI applications require performance, reliability and privacy that the existing, cloud-dependant system architectures cannot provide. In this article, we study orchestration…

stat.AP2020★ 2 cited

Capacitated spatial clustering with multiple constraints and attributes

Leena Ruha, Tero Lähderanta, Lauri Lovén +4

Capacitated spatial clustering, a type of unsupervised machine learning method, is often used to tackle problems in compressing, classifying, logistic optimization and infrastructu…

cs.AI2020★ 36 cited

Research and Education Towards Smart and Sustainable World

Jukka Riekki, Aarne Mämmelä

We propose a vision for directing research and education in the ICT field. Our Smart and Sustainable World vision targets at prosperity for the people and the planet through better…

cs.DC2020

Interoperable GPU Kernels as Latency Improver for MEC

Juuso Haavisto, Jukka Riekki

Mixed reality (MR) applications are expected to become common when 5G goes mainstream. However, the latency requirements are challenging to meet due to the resources required by vi…

cs.NI2019★ 100 cited

Edge computing server placement with capacitated location allocation

Tero Lähderanta, Teemu Leppänen, Leena Ruha +5

The deployment of edge computing infrastructure requires a careful placement of the edge servers, with an aim to improve application latencies and reduce data transfer load in oppo…

cs.NI2019★ 22 cited

Open-source RANs in practice: an over-the-air deployment for 5G MEC

Juuso Haavisto, Muhammad Arif, Lauri Lovén +2

Edge computing that leverages cloud resources to the proximity of user devices is seen as the future infrastructure for distributed applications. However, developing and deploying…

cs.CY2016

Privacy as a Service in Digital Health

Xiang Su, Jarkko Hyysalo, Mika Rautiainen +4

Privacy is a key challenge for continued digitalization of health. The forthcoming European General Data Protection Regulation (GDPR) is transforming this challenge into regulatory…

cs.AI2016★ 4 cited

Semantic Reasoning for Context-aware Internet of Things Applications

Altti Ilari Maarala, Xiang Su, Jukka Riekki

Advances in ICT are bringing into reality the vision of a large number of uniquely identifiable, interconnected objects and things that gather information from diverse physical env…