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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

Johan Tordsson
Adjunct professor
E-mail
Email
Paul Townend
Associate professor
E-mail
Email
Per-Olov Östberg
Associate professor
E-mail
Email
Monowar Bhuyan
Assistant professor
E-mail
Email
Atakan Aral
Assistant professor
E-mail
Email
Cristian Klein
Adjunct 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 31 December 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

Forough, Javad; Haddadi, Hamed; Bhuyan, Monowar H.; et al.
SN Computer Science, Springer Nature 2023, Vol. 4, (3)
Metsch, Thijs; Viktorsson, Magdalena; Hoban, Adrian; et al.
IEEE Transactions on Network and Service Management, IEEE 2023, Vol. 20, (2) : 1290-1304
Deka, Pratyush Kr.; Verma, Yash; Bhutto, Adil Bin; et al.
International Journal of Production Research, Taylor & Francis 2023, Vol. 61, (7) : 2288-2306
Castañé, G.; Dolgui, A.; Kousi, N.; et al.
2023 IEEE/ACM 23rd International Symposium on Cluster, Cloud and Internet Computing (CCGrid), IEEE 2023 : 426-436
Sundqvist, Tobias; Bhuyan, Monowar H.; Elmroth, Erik
2023 International Conference on Information Networking (ICOIN), IEEE 2023 : 122-127
Seo, Eunil; Pham, Vinh; Elmroth, Erik
IEEE Access, IEEE 2023, Vol. 11 : 102669-102680
Seo, Eunil; Elmroth, Erik
2023 IEEE 16th international conference on cloud computing (CLOUD), IEEE 2023 : 189-200
Saleh Sedghpour, Mohammad Reza; Obeso Duque, Aleksandra; Cai, Xuejun; et al.
2023 IEEE International Conference on Edge Computing and Communications (EDGE), IEEE 2023 : 12-22
Townend, Paul; Martí, Alberto P.; De La Iglesia, Idoia; et al.
2023 IEEE international conference on cloud engineering: proceedings, IEEE Computer Society 2023 : 32-42
Saleh Sedghpour, Mohammad Reza; Garlan, David; Schmerl, Bradley; et al.
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Latest update: 2024-03-12