Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network.
As internet is becoming critical in economics life,Internet Service Providers (ISPs) now deal with high demand to promote good quality information.Although the knowledge to develop new pricing plans that serve both customers and supplier is known, only a few pricing plans involve multiple networks....
Saved in:
| Summary: | As internet is becoming critical in economics life,Internet Service Providers (ISPs) now deal with high demand to promote good quality information.Although the knowledge to develop new pricing plans that serve both customers and supplier is known, only a few pricing plans involve multiple networks. This research seeks to study and analyze pricing schemes for multiple networks and formulate new pricing plans that can dynamically work under multiple QoS networks. The pricing schemes proposed are based on telcos concerns on wired networks and the advantages of new pricing schemes are under telcos perspective to maximize their profits. The objectives are to formulatethe new optimal pricing schemes under multiple QoS networks, propose the pricing schemes offer better pricing that can enhance the customers and make advantage to telcos and determine the optimal solution for each internet pricing scheme under multi service and multi QoS networks. The analysis is divided into two parts; the new pricing schemes for multi service networks and for multi QoS network, the optimization approach is used by modeling the schemes into MINLP and is solved numerically by application software LINGO 11.0. The goals of ISP are to maximize the profit such as to recover cost while promoting certain service,recover cost while user can select service, to have competition while user can select the service or to have market competition while promote certain services. The MINLP solutions show the intended ISP's goals.The improved models were formulated as MINLP and were solved using LINGO 11.0. The proposed new improved internet pricing models work in single link multi service network, in multi link multi service network, in single link multi class QoS networks and also in multi link multi class QoS network.It is shown that by considering new parameters, more decision variables and constraints, better revenue maximization were obtained. The cases to set up the base price and the quality premium to be fixed or to vary basically are ISP strategy to vary its preference to achieve their goals.ISP is able to adopt the cases to suit their goals .The solutions of new improved model of internet pricing in multi class QoS network show that the improved models exhibited better results (the difference profit value is about 0.13 to 40.8 for each case)compared to original results proposed by past research.The resultscontribute the maximum profit for ISPs. |
|---|