6533b7d8fe1ef96bd126b5d4

RESEARCH PRODUCT

The simulation and analysis of the revenue critierion based adaptive WFQ

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This paper presents the simulation and analysis of the adaptive resource allocation model, which was proposed and theoretically considered in our previous works. It relies upon the Weighted Fair Queueing (WFQ) service policy and uses the revenue criterion to adjust weights. The purpose of the proposed model is to maximize a provider's revenue and, at the same time, ensure the required Quality-of-Service (QoS) for end-users. Our previous works provided the theoretical evaluation of the proposed model and considered the single-node case only. This paper presents more realistic network scenario, which includes a set of clients and several intermediate switching nodes with the proposed model. The adaptive and non-adaptive approaches to the WFQ are considered in terms of obtained revenue and state of queues at intermediate nodes. It is shown that the adaptive approach can improve the total revenue obtained by a provider when compared to the non-adaptive approach.