Pricing and Measurement-based Optimal Resource Allocation in Next Generation Network Services

Abstract

In this paper, we enhance our previous work regarding optimal resource allocation of next generation network services under a flat pricing scheme and quality of service policies. We present a complete framework that makes our model to dynamically allocate the resources whenever required. In order to do that, we apply an online traffic estimator and we monitor traffic changes using an Exponentially Weighted Moving Average control chart. Hence, the profit maximization of the provider is done efficiently. Finally, the performance of our framework is investigated through various simulation scenarios.

Responsive pricing modeled with Stackelberg game for next-generation networks

“…In [24], a model for incorporating pricing in next-generation networks with users sharing bandwidth under a fixed charge per bandwidth amount was presented. Optimal resource allocation of next-generation network services under a flat pricing scheme and quality of service policies were considered in [25]. We propose a scheme for adapting the network price to optimize network performance and introduce the interaction between users and service provider as a feedback in responsive pricing scheme driving the system towards optimality.…”

A distributed algorithm for resource allocation for delay sensitive services

“…Note that this happens only when there is a significant change in traffic characteristics; this is indicated by an out-of-control signal which is triggered by our Exponentially Weighted Moving Average (EWMA) control scheme when the traffic intensity of a particular class changes. More information about the MBORA system is provided in our earlier work [2], [3].…”

“…We combine ideas from economics, optimization theory, and traffic analysis to extend our existing Measurement Based Optimal Resource Allocation (MBORA) framework, presented in [2], and further developed in [3], that directly addresses the dynamic and distributed resource allocation problem in service-oriented networks. Our problem formulation considers services with different priorities and quality-of-service requirements based on predefined service level agreements on end-to-end delay.…”

Distributed and Dynamic Resource Allocation for Delay Sensitive Network Services

“…Note that the optimization problem is solved only when there is a significant change in traffic characteristics; this is indicated by an out-of-control signal which is triggered by the Exponentially Weighted Moving Average (EWMA) control chart when the traffic intensity of a particular class changes. More information about the MBORA system is provided in our earlier work [2], [4], [5].…”

“…In this paper, we combine ideas from economic theory, convex optimization, and traffic measurement to extend our existing Measurement Based Optimal Resource Allocation (MBORA) framework, presented in [2], that directly addresses the dynamic and distributed resource allocation problem in service-oriented networks. Different priorities and quality-ofservice requirements of services are taken into consideration in the problem formulation; therefore, services are classified and treated according to appropriate policies and service level agreements.…”