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Autonomous Distributed Systems Lab

Research group Distributed systems, addressing the intelligent and automatic management of resources and applications in, e.g., compute clouds and software-defined infrastructures.

The foundation of the digitised society

The Umeå University distributed systems' research focuses on the autonomous management of the resources and applications forming the digitized society. Target infrastructures span from single large-scale cloud datacenters, via federations of clouds, to the highly distributed clouds that potentially may become the backbone for the full-fledged Internet-of-Things (IoT) and the more flexible concept of Software-Defined Infrastructures. Research drivers are computed and data-intensive applications requiring, e.g., elastic locality-aware infrastructures to meet the rapid capacity and locality variations of industrial services and large-scale distributed environments that enable coordinated use of federated resources for eScience applications, and machine-to-machine applications in the IoT context.

Interdisciplinary Collaborations

The research itself is highly multidisciplinary, developing the future autonomous management systems with contributions from feedback control, discrete optimization, mathematical statistics, and artificial intelligence including, in particular, machine learning. Given the multidisciplinary nature of the research and the major industrial interests in the field, the research is frequently performed in formal or informal collaborations.

Among academic collaborations, one may highlight our central role in Wallenberg AI, Autonomous Systems and Software Program, (WASP) – the largest individual research investment in Sweden in modern time with a budget of SEK 5.5 billion. Over the years, key industrial collaboration partners have included Ericsson Research (Stockholm and Lund, Sweden), Intel (Germany), IBM (multiple countries), Google (US), Red Hat (Spain), and TietoEvry (Sweden).

And where do they go?

For PhD students and postdoc researchers, being a member of the ADSlab is a step towards very interesting opportunities in research or leading-edge tech development - in both industry and academia. Recent departees to the industry have as their first or second job joined companies including Apple (US), IBM Research (Ireland), IBM (Canada), Lawrence Berkeley Lab (US),  Ericsson Research (5 people in Sweden and Canada), TietoEvry (Sweden), and Red Hat (Spain). Furthermore, about ten people have joined our own spin-off company - Elastisys.

Academic institutions that our former PhD students are employed at include - for example - Carnegie Mellon University (US), University of Massachusetts Amherst (US), and Chalmers University of Technology (Sweden). 

Cloud Control Workshops

We have established the Cloud Control Workshops. For past and upcoming events, please visit our webpage. 

Research leaders

Paul Townend
Associate professor
E-mail
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Per-Olov Östberg
Associate professor
E-mail
Email
Monowar Bhuyan
Associate professor
E-mail
Email
Atakan Aral
Visiting lecturer
E-mail
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Cristian Klein
Adjunct associate professor
E-mail
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Feras M. Awaysheh
Associate professor
E-mail
Email

Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Research projects

Energy-Aware Autonomous Management for Cloud-Edge Infrastructures
Duration 24 January 2024 until 31 December 2027
Type of project Research project
De facto Center of Excellence in Autonomous Distributed Systems
Duration 1 December 2023 until 30 April 2029
Type of project Research project
Arbitrating QoS Factors for Mission Critical Applications at the Edge of the Network
Duration 1 August 2023 until 31 July 2027
Type of project Research project
COGNIT: A Cognitive Serverless Framework for the Cloud-Edge Continuum
Duration 31 January 2023 until 31 December 2025
Type of project Research project
WASP WARA – Operational Data Research Arena
Duration 15 January 2023 until 31 December 2025
Type of project Research project
Intelligent Service Mesh for an Autonomous Network-Compute Fabric
Duration 1 September 2022 until 31 August 2026
Type of project Research project
Intelligent Cloud Robotics for Real-Time Manipulation at Scale
Duration 1 August 2022 until 31 July 2027
Type of project Research project
WARA Common Information Bridge – Enabling Research on Data-Driven Cloud Operations
Research area: Computing science
Duration 1 September 2021 until 1 September 2022
Type of project Research project
Anomaly Detection and Countermeasures for Edgeclouds
Research area: Computing science
Duration 1 January 2020 until 31 December 2024
Type of project Research project
Analytics-driven Edge Cloud Automation
Research area: Computing science
Duration 1 January 2020 until 29 April 2024
Type of project PhD project
Strategic initiative for international leadership in AI and software
Research area: Computing science
Duration 1 January 2020 until 31 December 2024
Type of project Research project
DEBLOAT: Code Debloating from Source Code to Large-scale Deployment
Research area: Computing science
Duration 1 January 2019 until 31 December 2021
Type of project Research project
Management Beyond the Edge
Research area: Computing science
Duration 1 September 2018 until 31 August 2021
Type of project Research project
Machine Learning-based Observability and Diagnostics in Future Networks and Mobile Edge Clouds
Research area: Computing science
Duration 1 January 2018 until 31 December 2022
Type of project PhD project
Autonomous Cloud Management
Research area: Computing science
Duration 1 January 2016 until 31 December 2020
Type of project Research project
Mobility-aware Resource Management for Mobile Edge Clouds
Research area: Computing science
Duration 1 January 2016 until 31 December 2020
Type of project Research project

Latest publications

IEEE Internet of Things Journal, IEEE 2025, Vol. 12, (7) : 8958-8979
Seo, Eunil; Elmroth, Erik
Proceedings of 2024 International Conference on Machine Learning and Cybernetics, IEEE 2025 : 613-623
Meyers, Charles; Saleh Sedghpour, Mohammad Reza; Löfstedt, Tommy; et al.
IEEE JCC 2025 – The 16th IEEE International Conference on JointCloud Computing (part of IEEE CISOSE 2025), July 21 -24, 2025, Tuscon, Arizona, USA
Wen, Yangyang; Townend, Paul; Östberg, Per-Olov; et al.
Cluster Computing, Springer Nature 2025, Vol. 28, (6)
Pour-Hosseini, Mohammad R.; Abbasi, Mahdi; Salimi, Atefeh; et al.
The 38th IEEE/IFIP Network Operations and Management Symposium (NOMS)
Nguyen, Chanh Le Tan; Seo, Eunil; Zahid, Muhammad; et al.
Electronics, MDPI 2025, Vol. 14, (16)
Le Duc, Thang; Nguyen, Chanh Le Tan; Östberg, Per-Olov
2025 IEEE international conference on service-oriented system engineering (SOSE), IEEE 2025 : 8-19
Nguyen, Chanh Le Tan; Elmroth, Erik; Bhuyan, Monowar
MASCOTS 2025: 33rd International Symposium on the Modeling, Analysis, and Simulation of Computer and Telecommunication System, Paris, France, October 21-23, 2025
Nguyen, Chanh; Bhuyan, Monowar; Elmroth, Erik
2025 IEEE 18th International Conference on Cloud Computing (CLOUD), IEEE 2025 : 75-85
Larsson, Oliver; Metsch, Thijs; Klein, Cristian; et al.
Doktorand Oliver Larsson i kort hår och glasögon, iklädd varm kappa, utomhus.
Computer scientist new representative in IVA

Oliver Larsson new representative in the Royal Swedish Academy of Engineering Sciences' Student Council.

Mickaël Zehren står i svart kavaj och försvarar sin avhandling.
From automated DJ mixing to artificial intelligence in news media

The Department of Computing Science celebrated three doctoral students on Monday.

Javad Forough’s findings could lead to better healthcare

Since 2020, Javad has researched and studied algorithms to improve healthcare, for example.

Latest update: 2024-03-12