Torgeir Lebesbye

• Lebesbye, Torgeir; Mauro, Jacopo; Turin, Gianluca & Yu, Ingrid Chieh (2021). Boreas – A Service Scheduler for Optimal Kubernetes Deployment. Lecture Notes in Computer Science (LNCS). ISSN 0302-9743. p. 221–237. doi: 10.1007/978-3-030-91431-8_14. Full text in Research Archive Show summary

  The advent of cloud computing radically changed the way organisations operate their applications and allows them to achieve high availability of services at affordable cost. Most cloud-computing platforms fostered Kubernetes for their container orchestration and service management. The scheduler is a key component of Kubernetes, as it is responsible for finding the placement of new service containers when they are deployed. The default scheduler is very fast, although often suboptimal. This can lead to inefficient placement of services, or more severely, inability to deploy. We present a custom Kubernetes scheduler, dubbed Boreas, which is designed to evaluate bursts of deployment requests concurrently. Boreas finds the optimal placements for service containers with their deployment constraints by utilising a configuration optimiser. Results show that Boreas is able to find placements where the default Kubernetes scheduler fails, wasting less computing resources, or proving that no feasible deployment solution is possible.

• Lebesbye, Torgeir & Soylu, Ahmet (2014). Towards a Visual Annotation Tool for End-User Semantic Content Authoring. CEUR Workshop Proceedings. 1299, p. 57–62. Full text in Research Archive Show summary

  There is a great amount of data on the Web, but to a large extent it is not published as linked data that computers can consume. Visual annotation tools have a considerable potential to empower end users to contribute their data to the Semantic Web, and could prove to be a solution to get more data on the Web linked. To this end, numerous tools have been developed; however, there still remains challenges to be addressed. In this paper, we present and discuss a set of prominent requirements toward the realisation of a visual annotation tool for end-user semantic content authoring. Proceedings of the International Workshop on Visualizations and User Interfaces for Knowledge Engineering and Linked Data Analytics co-located with 19th International Conference on Knowledge Engineering and Knowledge Management (EKAW 2014), CEUR Workshop Proceedings 2014, 1299, 57-62. http://nbn-resolving.de/urn:nbn:de:0074-1299-7

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• Lebesbye, Torgeir; Yu, Ingrid Chieh & Mauro, Jacopo (2019). Boreas – Reducing Resource Usage Through Optimized Kubernetes Scheduling. Universitetet i Oslo. Full text in Research Archive

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