scholarly journals Optimization of Wireless Internet Pricing Scheme in Serving Multi QoS Network Using Various Attributes

2016 ◽  
Vol 14 (1) ◽  
pp. 273 ◽  
Author(s):  
Irmeilyana Irmeilyana ◽  
Fitri Maya Puspita ◽  
Iffah Husniah
Keyword(s):  
Wireless Internet ◽  
Internet Pricing ◽  
Pricing Scheme

scholarly journals Mixed integer nonlinear programming (MINLP)-based bandwidth utility function on internet pricing scheme with monitoring and marginal cost

2019 ◽  
Vol 9 (2) ◽  
pp. 1240
Author(s):  
Robinson Sitepu ◽  
Fitri Maya Puspita ◽  
Elika Kurniadi ◽  
Yunita Yunita ◽  
Shintya Apriliyani
Keyword(s):  
Utility Function ◽  
Marginal Cost ◽  
Optimization Problems ◽  
Linear Optimization ◽  
Optimal Solution ◽  
Mixed Integer ◽  
Monitoring Cost ◽  
Internet Pricing ◽  
Pricing Scheme ◽  
Linear Optimization Problems

<span>The development of the internet in this era of globalization has increased fast. The need for internet becomes unlimited. Utility functions as one of measurements in internet usage, were usually associated with a level of satisfaction of users for the use of information services used. There are three internet pricing schemes used, that are flat fee, usage based and two-part tariff schemes by using one of the utility function which is Bandwidth Diminished with Increasing Bandwidth with monitoring cost and marginal cost. Internet pricing scheme will be solved by LINGO 13.0 in form of non-linear optimization problems to get optimal solution. The optimal solution is obtained using the either usage-based pricing scheme model or two-part tariff pricing scheme model for each services offered, if the comparison is with flat-fee pricing scheme. It is the best way for provider to offer network based on usage based scheme. The results show that by applying two part tariff scheme, the providers can maximize its revenue either for homogeneous or heterogeneous consumers.</span>

scholarly journals Analysis Model in the Cloud Optimization Consumption in Pricing the Internet Bandwidt

2018 ◽  
Vol 8 (6) ◽  
pp. 4391
Author(s):  
Indrawati Indrawati ◽  
Fitri Maya Puspita ◽  
Sri Erlita ◽  
Inosensius Nadeak
Keyword(s):  
Cloud Model ◽  
Optimal Solution ◽  
The Internet ◽  
Analysis Model ◽  
Internet Pricing ◽  
Internet Service ◽  
Internet Users ◽  
Pricing Scheme ◽  
Network Server ◽  
Pricing Schemes

<p>The problem of internet pricing is a problem that is often a major problem in optimization. In this study, the internet pricing scheme focuses on optimizing the use of bandwidth consumption. This research utilizes modification of cloud model in finding optimal solution in network. Cloud computing is computational model which is like network, server, storage and service that is utilizing internet connection. As ISP's Internet service provider requires appropriate pricing schemes in order to maximize revenue and provide quality of service (Quality on Service) or QoS so as to satisfy internet users or users. The model used will be completed with the help of LINGO software program to get optimal solution and accurate result. Based on the optimal solution obtained from the modification of the cloud model can be utilized ISP to maximize revenue and provide services in accordance with needs and requests.</p>

scholarly journals Cobb-Douglass Utility Function in Optimizing the Internet Pricing Scheme Model

2014 ◽  
Vol 12 (1) ◽  
pp. 227 ◽  
Author(s):  
Indrawati Indrawati ◽  
Irmeilyana Irmeilyana ◽  
Fitri Maya Puspita ◽  
Meiza Putri Lestari
Keyword(s):  
Utility Function ◽  
The Internet ◽  
Internet Pricing ◽  
Pricing Scheme

Generalized MINLP of Internet Pricing Scheme Under Multi Link QoS Networks

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Fitri Maya Puspita ◽  
Irmeilyana Irmeilyana ◽  
Indrawati Indrawati
Keyword(s):  
Internet Pricing ◽  
Pricing Scheme

Generalized MINLP of Internet Pricing Scheme Under Multi Link QoS Networks

2015 ◽  
Vol 2 (1) ◽  
Author(s):  
Fitri Maya Puspita ◽  
Irmeilyana Irmeilyana ◽  
Indrawati Indrawati
Keyword(s):  
Internet Pricing ◽  
Pricing Scheme

scholarly journals Mathematical model of improved reverse charging of wireless internet pricing scheme in servicing multiple QoS

2020 ◽  
Vol 1 (2) ◽  
pp. 89
Author(s):  
Fitri Maya Puspita
Keyword(s):  
Service Level ◽  
Mixed Integer ◽  
Optimal Pricing ◽  
Wireless Internet ◽  
Local Data ◽  
Internet Service ◽  
Pricing Scheme ◽  
Automated Platform ◽  
Improved Model ◽  
Multiple Qos

This paper seeks to utilize the improved model of reverse charging scheme.  Reverse charging basically is defined as a capability of stored network that replaces the network used when the network is suddenly shut down. In this paper,  charging back on 3G and 4G network that is user automated platform, will change the access of 4G to 3G and on the contrary when platform conduct the hosting. This research was solved as a problem Mixed Integer Nonlinear Programming (MINLP) by LINGO 13.0. An optimal pricing scheme is applied to a local data server, including digilib traffic and mail traffic. The improved model of Reverse Charging is modified into 4 cases and formed by setting the base price (α) and service level (β). Based on the analysis that has been done, the results of this study indicate that the reverse charging model can be utilized Internet Service Provider (ISP) to maximize profits and provide quality services for the user if compared to previous model without reverse charging scheme. Keywords: improved model of revere charging scheme, MINLP, ISP, QoS, pricing scheme

scholarly journals Bit Error Rate (BER) QoS Attribute in Solving Wireless Pricing Scheme on Single Link Multi Service Network

2018 ◽  
Vol 8 (1) ◽  
pp. 236
Author(s):  
Irmeilyana Irmeilyana ◽  
Fitri Maya Puspita ◽  
Indrawati Indrawati ◽  
Rahayu Tamy Agustin
Keyword(s):  
Bit Error Rate ◽  
Error Rate ◽  
Wireless Internet ◽  
Service Network ◽  
Pricing Scheme ◽  
Set Up ◽  
Improved Model ◽  
The Cost ◽  
Pricing Schemes

Pricing schemes were set up on multi service network of wireless internet pricing scheme to proposed models applying Bit Error Rate QoS attribute due to requirements for ISP to maximize revenue and provide high quality of service to end users.The model was deigned by improving the original model together with added parameters and variables to the model of multi- service network by setting the base price (α) and premium quality (β) as variables and parameters. LINGO 11.0 were applied to help finding the solution. The results show that the improved models yield maximum revenue for ISP by applying the improved model by setting up a variable α and β as constant as well as by increasing the cost of all the changes in QoS. The QoS attriute BER is proven to achieve the ISP’s goal to maximize the revenue.

Sign in / Sign up

Export Citation Format

Share Document