June 05, 2019
12:45 - 13:45
Louvain-la-Neuve
Paul Otlet room - Reaumur Building a.327
A Genetic Algorithm For Cost-aware Business Processes Execution in the Cloud
By Guillaume Rosinosky, esearch associate in Computer Science in the ICTEAM department of UCLouvain
With the generalization of the Cloud, software providers can distribute their software as a service without investing in large infrastructure.
However, without an effective resource allocation method, their operation cost can grow quickly, hindering the profitability of the service. This is the case for BPM as a Service providers that want to handle hundreds of customers with a given quality of service. The allocation and scheduling methods they use must be able to adjust their supporting cloud resources quantity and sizes, and the distribution of their customers on these resources.
In this talk, we present a cost optimization model and an effective heuristic for the minimization of BPMaaS providers' infrastructure cost, while respecting the needs of their customers.
Guillaume Rosinosky is a research associate in Computer Science in the ICTEAM department of UCLouvain. He obtained his Ph. D. in 2019 in the University of Lorraine, France, and has worked before for 10 years in software development in business computing. His research interests include distributed and cloud computing, artificial intelligence, and elasticity methods for large scale systems.