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....
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my-usim-ddms-13339 |
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uketd_dc |
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Universiti Sains Islam Malaysia |
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USIM Institutional Repository |
| language |
English |
| topic |
Computer networks -- Management Internet Service Providers Computer networks -- Management |
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Computer networks -- Management Internet Service Providers Computer networks -- Management Fitri Maya Puspita Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| description |
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. |
| format |
Thesis |
| author |
Fitri Maya Puspita |
| author_facet |
Fitri Maya Puspita |
| author_sort |
Fitri Maya Puspita |
| title |
Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| title_short |
Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| title_full |
Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| title_fullStr |
Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| title_full_unstemmed |
Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. |
| title_sort |
improved mixed integer nonnlinear programming models of internet pricing scheme under multiple qos network. |
| granting_institution |
Universiti Sains Islam Malaysia |
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1812444706637873152 |
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my-usim-ddms-133392024-05-29T18:26:39Z Improved Mixed Integer Nonnlinear Programming Models Of Internet Pricing Scheme Under Multiple QOS Network. Fitri Maya Puspita 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. Universiti Sains Islam Malaysia 2015-01 Thesis en https://oarep.usim.edu.my/handle/123456789/13339 https://oarep.usim.edu.my/bitstreams/c27376eb-a09a-44d1-b5c3-6213016a3c94/download 8a4605be74aa9ea9d79846c1fba20a33 https://oarep.usim.edu.my/bitstreams/89dc91a9-94f3-458a-885a-23ddb68bf315/download 6d054f43d3398cf1258b694e4d09df41 https://oarep.usim.edu.my/bitstreams/056ba1fc-2096-46ce-b7f8-66f77a00bf75/download bfb4e5c00952d184676bfd035d27cc30 https://oarep.usim.edu.my/bitstreams/1b94d1d2-b422-406c-ba0c-2fd80428c4dc/download ac31e439fe729ad3170120f1a264c951 https://oarep.usim.edu.my/bitstreams/880f180d-cb86-4ca4-ada4-c9d42a6c9f06/download 94a5fbba5c1c67a2b4a44274fefd9ba1 https://oarep.usim.edu.my/bitstreams/a17a1125-2e50-429d-9bd5-8f6d21c8ba3c/download 4ed16a30363abf161a52a7bd52923f5b https://oarep.usim.edu.my/bitstreams/097bd76f-6dcc-408e-9a97-5dbce81d7684/download a5f5060a2d1e261a6da84aecfc3b7c6b https://oarep.usim.edu.my/bitstreams/5d942263-f32c-4ae2-bf5c-bf6f894f1e58/download 4aee6f42f60259b29d0541cf610ac3db https://oarep.usim.edu.my/bitstreams/b850cb47-9579-44e8-ae70-fa12a0077712/download 884ceadb7607c19893de9227355a96ce https://oarep.usim.edu.my/bitstreams/8620d84a-515a-4df8-9164-96c358ba59ce/download bec035de3ff4660bae9ef3f637436f97 https://oarep.usim.edu.my/bitstreams/98f80c3e-cd8e-4ab2-b3de-0049c9f03396/download 68b329da9893e34099c7d8ad5cb9c940 https://oarep.usim.edu.my/bitstreams/fd638f4b-2de3-4440-9c17-44b43d6118f9/download 24e648839aa31918bceb936aff170ec0 https://oarep.usim.edu.my/bitstreams/253e2208-01df-4abb-b334-21b4f73ac878/download 33f4f15a16a9843faf6a25d4f387b6fd https://oarep.usim.edu.my/bitstreams/e8f49c77-fab5-450e-9fe1-4d4749c50810/download 46dab46279ab4ecb929adb971a632731 https://oarep.usim.edu.my/bitstreams/019f0102-bba4-4249-91eb-83ae33db6209/download 8d1b69dd9bdc9df4a8073c7a8193c7af https://oarep.usim.edu.my/bitstreams/bbf7de1e-9d94-4f0c-9ea6-9e76c146cce9/download 56b786c3ab4ce95cace30ad1626ffeeb https://oarep.usim.edu.my/bitstreams/7e765586-c811-4300-b809-ba84dc6ef72e/download 70cf152f5dddabbf3e3e3a8bc23d0095 https://oarep.usim.edu.my/bitstreams/c472bc0a-e231-4e61-b665-62495d370810/download ff4c8ff01d544500ea4bfea43e6108c1 https://oarep.usim.edu.my/bitstreams/3d7942f0-178f-4512-915f-4d01f7db8f10/download fa4ea51a0f77146f48e0db0f0159801b Computer networks -- Management Internet Service Providers Internet,network;pricing schemes, multiple QoS networks |