Queueing Models of Traffic Control and Performance Evaluation in Large Internet Topologies
Tadeusz Czachórski · 2018 IEEE 13th International Scientific and Technical Conference on Computer Sciences and Information Technologies (CSIT) · 2018
Transient state queueing models help us to understand better the dynamics of internet transmissions and the performance of traffic control algorithms. Fluid flow approximation, due its simplicity is popular and frequently used - but even it, if applied to large topologies, is time and space consuming. The alternative approaches as Markov chains or diffusion approximation lead to much more complex computations. Fluid flow approximation is based on first-order differential equations, and its algorithm is based on iterative calculations on large mutually interdependent structures. In consequence, the bottleneck of the method lies not in numerical computations but in storing and selection of data. This is why we use an approach in which a database (SAP HANA) and its language are used to implement the method.