Abstract
Edge computing has emerged as a solution that can accommodate complex application requirements by shifting data and computation to infrastructure elements that are more suitable to manage them given the current circumstances. The BASMATI Knowledge Extractor is a component that facilitates the modeling of the resource utilization by providing tools to analyze application usage together with user behavior. This is particularly relevant in the case of mobile applications where user context and activity are tightly coupled to the application performance.
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Acknowledgements
BASMATI (http://basmati.cloud) has received funding from the European Unions Horizon 2020 research and innovation programme under grant agreement no. 723131 and from ICT R&D program of Korean Ministry of Science, ICT and Future Planning no. R0115-16-0001.
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Violos, J. et al. (2017). User Behavior and Application Modeling in Decentralized Edge Cloud Infrastructures. In: Pham, C., Altmann, J., Bañares, J. (eds) Economics of Grids, Clouds, Systems, and Services. GECON 2017. Lecture Notes in Computer Science(), vol 10537. Springer, Cham. https://doi.org/10.1007/978-3-319-68066-8_15
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DOI: https://doi.org/10.1007/978-3-319-68066-8_15
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