Pricing Incentive Mechanism based on Multi-stages Traffic Classification Methodology for QoS-enabled Networks

Abstract

We propose a novel pricing incentive mechanism based on multi-satges traffic classification methodology supporting load balancing and allocating network resource efficiently for QoS-enabled networks in this paper. We integrate the pricing with QoS routing and present a novel pricing incentive mechanism meeting the QoS requirements of different applications. This mechanism provides an equitable pricing incentive for applications according to their service requests. A novel multi-stages traffic classification methodology that brings together the benefits of port mapping, signature matching and flow character classification techniques is motivated by variety of network activities and their QoS requirements of traffic. We study the pricing and different levels of services in detail and integrate admission control scheme and load balancing in our framework. By theoretical analysis and extensive simulations, we prove its effectiveness in making traffic load balance and providing an incentive for users to utilize network resources to users’ satisfaction

Improved Incentive Pricing Wireless Multi-service Single Link with Bandwidth Attribute

“…In [22], we work to improve the model presented by [11] in the pricing of wireless multi-service Internet with bandwidth QOS attribute by looking at the model as an optimization problem that can be solved in the optimization tool using Lingo 18, which simulates formulas and search results.…”

“…Avoiding congestion requires studying consumer behavior, knowing peak times, and working on balancing loads in multiservice networks to avoid congestion [11]. Internet service providers suffer during peak usage times from congestion, and therefore there is a need for an appropriate pricing scheme that seeks to control usage at peak times to prevent network collapse and encourage consumers to rationalize their consumption during peak times [12].…”

Nonlinear Programming Approach of Wireless Pricing Models

“…Models for internet pricing proposed by [19] The utility function of a user can be in the form of probability of packet loss, average packet delay, probability of packet tail, delay of maximum packet and also throughput. Pricing scheme proposed by [20] Pricing schemes based on QoS levels in different allocations that control congestion and load balance.…”

Improved incentive pricing-based quasi-linear utility function of wireless networks

“…Network management is considered in critical state that every scheme regarding the pricing strategy should be maintained effectively. Internet pricing also should include the incentive for users maintaining the network [8]- [10]. Then, the requirement to have some mechanism to give user' incentive to upgrade the profit [11]- [16].…”