Predictable edge resource management
||Predictable edge resource management|
||SNIC Medium Compute|
||György Dán <firstname.lastname@example.org>|
||Kungliga Tekniska högskolan|
||2021-05-01 – 2022-05-01|
The project investigates algorithmic solutions for managing computational and communication resources in multi-access edge computing. In this context our focus is on game theoretical models and approaches to developing scalable algorithms for resource management, evaluating models of learning and adaptation in a multi-agent setting. Our expected results give insight in the interaction between strategic user behavior and strategic behavior of a network operator, and allow to define scalable adaptive policies for resource management.