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Autonomous Distributed Systems Lab

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

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 compute 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.

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, artificial intelligence.

Research outcomes include autonomous management systems for operating the IT infrastructure and applications of the future. Central to the approach are software with flexibility in deployment and policy customization, providing key functionality for broad sets of usage scenarios.

Cloud Control Workshops

We have established the Cloud Control Workshops. For past and upcoming events, see cloudresearch.org/workshops/

Research leaders

Johan Tordsson
Associate professor
E-mail
Email
Paul Townend
Associate professor
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Email
Per-Olov Östberg
Research fellow (absent), associate professor
E-mail
Email
Monowar Bhuyan
Assistant professor
E-mail
Email

Research projects

Analytics-driven Edge Cloud Automation
Research subject: Computing science
Duration 1 January 2020 until 31 December 2023
Type of project Research project
Anomaly Detection and Countermeasures for Edgeclouds
Research subject: 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 subject: Computing science
Duration 1 January 2020 until 31 December 2022
Type of project Research project
DEBLOAT: Code Debloating from Source Code to Large-scale Deployment
Research subject: Computing science
Duration 1 January 2019 until 31 December 2021
Type of project Research project
Management Beyond the Edge
Research subject: 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 subject: Computing science
Duration 1 January 2018 until 31 December 2022
Type of project PhD project
Autonomous Cloud Management
Research subject: Computing science
Duration 1 January 2016 until 31 December 2020
Type of project Research project
Mobility-aware Resource Management for Mobile Edge Clouds
Research subject: Computing science
Duration 1 January 2016 until 31 December 2020
Type of project Research project

Latest publications

2020
HPDC '20: Proceedings of the 29th International Symposium on High-Performance Parallel and Distributed Computing, ACM Digital Library 2020 : 161-165
Souza, Abel; Pelckmans, Kristiaan; Ghoshal, Devarshi; et al.
2020
28th Euromicro International Conference on Parallel, Distributed and Network-Based Processing (PDP), IEEE conference proceedings 2020 : 88-93
Krzywda, Jakub; Meyer, Vinici­us; Xavier, Miguel G.; et al.
2020
Artificial Intelligence Applications and Innovations: 16th IFIP WG 12.5 International Conference, AIAI 2020, Neos Marmaras, Greece, June 5–7, 2020, Proceedings, Part II, Springer 2020 : 268-280
Tsogbaatar, Enkhtur; Bhuyan, Monowar H.; Taenaka, Yuzo; et al.
2020
Software, practice & experience
Larsson, Lars; Tarneberg, William; Klein, Cristian; et al.
2020
MASCOTS 2020 : 1-4
Viktorsson, William; Klein, Cristian; Tordsson, Johan
2020
Artificial Intelligence Applications and Innovations, AIAI 2020, Springer 2020 : 15-30
Sundqvist, Tobias; Bhuyan, Monowar H.; Forsman, Johan; et al.
2019
Proceedings, 19th IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing, IEEE 2019 : 341-350
Nguyen, Chanh; Klein, Cristian; Elmroth, Erik
2019
ACM Computing Surveys, Association for Computing Machinery (ACM) 2019, Vol. 52, (5)
Le Duc, Thang; García Leiva, Rafael; Casari, Paolo; et al.
2019
Proceedings of the 4th ACM/IEEE Symposium on Edge Computing, IEEE 2019 : 250-263
Nguyen, Chanh Le Tan; Mehta, Amardeep; Klein, Cristian; et al.
2019
The Proceedings: 2019 14th International Joint Symposium on Artificial Intelligence and Natural Language Processing (iSAI-NLP)
Kalwar, Abhishek; Bhuyan, Monowar H.; Bhattacharyya, Dhruba K.; et al.

News - Computing Science

Seven spin-of companies from Umeå university on international AI map
Published: 19 Nov, 2020

Seven spin-off companies from Umeå university on the first European AI Startup Landscape Map.

Adlede behind new AI-based advertising platform to Danish media houses
Published: 16 Nov, 2020

Adlede, a spin off company to Codemill, is behind a new platform to several Danish media houses.

Several spin-off companies take part in international AI conference
Published: 11 Nov, 2020

Research companies based on technology for AI at Sweden Innovation Days.

Awarded 4 million SEK for developing new Deep Learning methods
Published: 05 Nov, 2020

Johanna Björklund receives funding for research on semantic parsing of multimodal data.

Researchers will study how AI affects human well-being
Published: 05 Nov, 2020

Ingeborg Nilsson is one of the responsible for the initiative.