OW2online'20

Autonomous Multi-Cloud serverless deployment and optimized management
2020-06-17 , Main Video Conference Room

This presentation describes how to implement Multi-Cloud native strategies using advanced an open source framework that allows for Cloud-agnostic Multi-Cloud deployment and optimized management of the serverless applications based on flexible monitoring, context aware maximization of the application owner’s utility of the deployed serverless components, and autonomic reconfiguration based on the application’s current execution context.


University of Oslo

Marta Różańska is a PhD student at the University of Oslo and researcher developer at 7bulls.com. Marta obtained her BS and MS degrees from the University of Warsaw, in 2015 and 2018, respectively. Her Master’s thesis investigated modelling and implementation of user preferences by utility functions to evaluate configuration of cloud application deployments. Marta has published several research papers in this area. She is the lead developer of Utility Generator, one of the key components of the Melodic open source platform. Currently, Marta is working on utility-based optimisation of Cloud application resources.

Geir Horn is Head of European ICT Research at the Faculty of Mathematics and Natural Sciences. He holds a Cand. Scient. degree in cybernetics and a PhD in computer science on mathematical learning in combinatorial optimisation problems, both from the University of Oslo. He started his research career at the Centre for Industrial Research in Oslo working on embedded software and fieldbus sensor systems, leading him on to distributed and parallel computing. Geir has previously held positions as senior scientist and research director at SINTEF in Oslo, before spending 4 years in more basic research at the SIMULA Research Laboratory. He has been working with European research for more than 25 years and has been coordinating 19 European collaborative projects. In Horizon 2020, Geir has until this year successfully coordinated the project Multi-cloud Execution-ware for Large-scale Optimized Data-Intensive Computing (MELODIC H2020-ICT-731664) and he has just started coordinating the project Modelling and Orchestrating heterogeneous Resources and Polymorphic applications for Holistic Execution and adaptation of Models In the Cloud (MORPHEMIC H2020-ICT-871643). Geir has also participated in multiple proposal evaluations for IST/ICT in FP5, FP6 and FP7 and has been on the review panel following 16 ICT projects. His current research interests are on how to handle complexity and optimized service choreography for large-scale distributed applications through adaptation, autonomic decisions, self-awareness, and emergence.