Internet Pricing on Bandwidth Function Diminished With Increasing Bandwidth Utility Function

Abstract

In this paper we analyze the internet pricing schemes based on bandwidth function diminished with increasing bandwidth utility function with 3 pricing strategies for homogeneous and heterogeneous consumer. The new proposed pricing schemes with this utility function will give the information to the internet service providers (ISP) Keywords: utility functions, the function of diminished bandwidth with increasing bandwidth, pricing schemes, consumer homogeneous, heterogeneous consumers IntroductionInternet has an important role in the economy and education around the world. The Internet is a multimedia library, because it has a lot of complete information. Complete information and quickly make consumers interested in becoming a consumer internet services. Consumers who make a lot of Internet Service Providers (ISPs) compete to provide services of the highest quality (Quality of Service) and the optimal prices for consumers [1]-[3]. In addition in maintaining the quality of service and optimal prices for consumers, Internet Service Provider (ISP) should also consider profits.The research on differentiated network in general network architecture with quality of service are due to [4]- [7] which then are improved by [8] in multi QoS networks and [9] in multi service networks. In particular, the recent research focus on wireless mesh QoS network architecture are due to [10], [11] that mainly discuss the advanced technology in communication network.There are some assumptions for utility function to be applied in the model but the researchers usually use the bandwidth function with fixed loss and delay and follow the rules that marginal utility as bandwidth function diminishing with increasing bandwidth [4][5][6][7][8]. The other reason dealing with the choices of utility function is that the utility function should be differentiable and easily to be analyzed the homogeneity and heterogeneity that impacts the choice of pricing structure for the companies. also contends that the utility function also can be assumed to be increasing function, strictly concave and continuously differentiable.In [15], the finding of internet charging is based on analytical steps and on CobbDouglass utility function. Other useful utility functions are provided, but only a few were discussed. Sometimes, it is more likely have a good advantage if dealing with finding the solution numerically rather than analytically, if involving many variables and parameters.So, we provide to search the optimal solutions numerically for three internet pricing schemes which are flat fee, usage-based, and two-part tariff for homogeneous and heterogeneous consumers based on function of bandwidth diminished with increasing bandwidth using LINGO 11.0 [16].

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

“…In case II that distinguish is in case II this condition used will be different that is ∈ [0,1] In addition, the function constraints (2), and (3) to be changed with the function constraints (6), and (7) as follows In this study, there are also several conditions that follow two previous cases. There are 4 conditions for each case.…”

“…Common internet pricing schemes are flat rate, usage-based and two-part tariff. Based on previous research on nonlinear wireless internet pricing schemes compiled by [4], internet pricing schemes on multiple QoS for single link [5], wireless internet pricing schemes are usually associated with QoS bandwidth attributes, bit error rate (BER), end-to-end delay [6]. Optimal internet pricing is required by considering network services.…”

Case Study: Maintenance Proposal of Press Parts Production for Minimize Waste by Lean Manufacturing – Value Stream Mapping (VSM)

“…This models was developed by [11]. This model actually is the original pricing strategy without involvement of bundle strategies except it already used the utility function.…”

Research on Sensor Network Spectrum Detection Technology based on Cognitive Radio Network

“…Sensing spectrum section in the user access to the collection, will not affect the main users or other perception. Spectrum is usually divided into a series of orthogonal sub band, the main users take up one of the band, to a certain power to communicate and there is no interference between frequency and frequency band [19][20].…”