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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. Key industrial collaboration partners include Ericsson Research (Stockholm and Lund, Sweden), Intel (Germany), IBM (Israel), 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

Johan Tordsson
Adjunct professor
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Paul Townend
Associate professor
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Per-Olov Östberg
Associate professor
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Monowar Bhuyan
Assistant professor
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Atakan Aral
Assistant professor
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Overview

Participating departments and units at Umeå University

Department of Computing Science

Research area

Computing science

Research members

Sourasekhar Banerjee
Doctoral student
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Simon Bonér
Research student
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Lennart Edblom
Associate professor
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Javad Forough
Doctoral student
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Tomas Forsman
System engineer
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Lidia Kidane
Doctoral student
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Cristian Klein
Adjunct associate professor
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Charles Meyers
Doctoral student
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Aleksandra Obeso Duque
Doctoral student
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Ali Rahmanian
Doctoral student
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Kshira Sagar Sahoo
Postdoctoral position
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Eunil Seo
Senior research engineer
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Anindya Sundar Das
Doctoral student
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Tobias Sundqvist
Doctoral student
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Xuan-Son Vu
Senior research engineer
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Research projects

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 2023
Type of project Research project
Strategic initiative for international leadership in AI and software
Research area: Computing science
Duration 1 January 2020 until 31 December 2022
Type of project Research project
Analytics-driven Edge Cloud Automation
Research area: Computing science
Duration 1 January 2020 until 31 December 2023
Type of project PhD 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

2023 International Conference on Information Networking (ICOIN), IEEE 2023 : 122-127
Seo, Eunil; Pham, Vinh; Elmroth, Erik
23rd IEEE International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
SN Computer Science, Springer Nature 2023, Vol. 4, (3)
Metsch, Thijs; Viktorsson, Magdalena; Hoban, Adrian; et al.
IEEE 2022
Obeso Duque, Aleksandra; Klein, Cristian; Feng, Jinhua; et al.
Future generations computer systems, Elsevier 2022, Vol. 129 : 423-424
Vitali, Monica; Plebani, Pierluigi; Bermbach, David; et al.
International Journal of Production Research
Castañé, G.; Dolgui, A.; Kousi, N.; et al.
2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW), IEEE 2022 : 688-698
Kidane, Lidia; Townend, Paul; Metsch, Thijs; et al.
IEEE Access, IEEE 2022, Vol. 10 : 94677-94690
Bhutto, Adil B.; Vu, Xuan-Son; Elmroth, Erik; et al.
Proceedings of the International Conference on Distributed Computing Systems
Forough, Javad; Bhuyan, Monowar H.; Elmroth, Erik
IEEE Internet of Things Journal, IEEE 2022, Vol. 9, (24) : 25506-25524
Seo, Eunil; Niyato, Dusit; Elmroth, Erik
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Latest update: 2022-11-09