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Weilai Yang

Bio: Weilai Yang is an academic researcher from Georgia Institute of Technology. The author has contributed to research in topics: Service provider & Differentiated service. The author has an hindex of 4, co-authored 4 publications receiving 74 citations.

Papers
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Proceedings ArticleDOI
20 Jun 2004
TL;DR: An auction based pricing algorithm which lets customers choose the price as well as the services required, and in which the service provider decides on the admission price threshold and the service level of the differentiated service provided is proposed.
Abstract: In a network with quality of service (QoS) support, pricing is an effective means of dealing with congestion control and revenue generation. In the Internet, the needs of the customers and their applications are constantly evolving. An auction based algorithm is the best choice for this environment because it needs minimal a priori information. In this paper, we propose an auction based pricing algorithm which lets customers choose the price as well as the services required, and in which the service provider decides on the admission price threshold and the service level of the differentiated service provided. We then investigate the system's adaptive behavior by simulating it in various environments and situations.

24 citations

Proceedings ArticleDOI
01 Dec 2003
TL;DR: This work proposes a scenario where all clients can bid for their required bandwidth as well as the price they are willing to pay, and decides on the admission price and differentiated service provided for each class.
Abstract: We use pricing as an effective strategy to allocate network resources in an efficient way so as to maximize a service provider's revenue. Among all static and dynamic pricing strategies, an auction approach is a widely proposed decentralized mechanism. We propose a scenario where all clients can bid for their required bandwidth as well as the price they are willing to pay. The service provider decides on the admission price and differentiated service provided for each class. These thresholds also provide a future reference for admitting new flows later.

20 citations

Book ChapterDOI
17 Apr 2005
TL;DR: This paper proposes an auction scheme to allocate network resources efficiently so as to maximize service provider's revenue through auctions, and examines an auction mechanism that provides multiple options for customers to bid on the resources that they require as well as the price they are willing to pay.
Abstract: Over the years, quality of service (QoS) has attracted attention from researchers. How to guarantee QoS to customers despite the rapid change of the network status is the main concern. Pricing provides an effective economic means of congestion control and revenue generation. We examine pricing as an effective strategy for revenue management in DiffServ networks. In this paper, we propose an auction scheme to allocate network resources efficiently so as to maximize service provider's revenue. We examine an auction mechanism that provides multiple options for customers to bid on the resources that they require as well as the price they are willing to pay. The service provider acts as an admission control unit in the sense of deciding the admission price and service provided for each class. We target the goal of maximizing a service provider's revenue through auctions.

18 citations

Journal ArticleDOI
TL;DR: A decentralized auction-based scheme for bandwidth allocation and pricing in a differentiated service-based network and introduces mathematical formulations and provides a solution approach to maximize the service provider's revenue.

12 citations


Cited by
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01 Jan 2001
TL;DR: Some of the technology and costs relevant to pricing access to the Internet are described and a possible smart-market mechanism for pricing traffic on the Internet is suggested.
Abstract: This is a preliminary version of a paper prepared for the conference ‘‘Public Access to the Internet,’’ JFK School of Government, May 26--27 , 1993. We describe some of the technology and costs relevant to pricing access to the Internet and suggest a possible smart-market mechanism for pricing traffic on the Internet.

231 citations

Journal ArticleDOI
TL;DR: In this paper, the authors provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future.
Abstract: The share of gross domestic product from the service industry reflects the competitiveness of a nation; the service industry in the USA accounts for around 80% of its gross domestic product, and it has been increasing gradually. Continual innovations and advances in enabling technologies for the service industry are crucial for developed countries to sustain their leading positions in the globalized economy. To clarify future research directions of operations research (OR) in the service industry, the state of art of OR has been examined systematically, the new requirements of OR are identified for its applications in service industries in comparison with those in manufacturing industries, and the limitations of existing methodologies and tools have been discussed. This paper was intended to provide an updated review on how OR has been applied in the service sector in recent years and what directions the study of OR will be carried forward in the near future. Under a proposed research framework, recent OR-related articles were collected from 17 leading OR journals and classified into the five most active sectors, that is, transportation and warehousing, information and communication, human health and social assistance, retails and wholesales, and financial and insurance services. The conclusions on the limitations of existing studies and the demanding ORs in the service have been drawn from our summaries and observations from a comprehensive review in this field. Copyright © 2013 John Wiley & Sons, Ltd.

102 citations

Journal ArticleDOI
TL;DR: Improved model based on Byun and Chatterjee and Sain and Herpers can be solved optimally using optimization tool LINGO to achieve better revenue maximization.
Abstract: This paper will analyze new improved charging scheme with base price, quality premium and QoS networks involved. Sain and Herpers [5] already attempted to obtain revenue maximization by creating charging scheme of internet. The plan is attempted to solve multiple service networks scheme as an optimization model to obtain revenue maximization using our improved model based on [2] and [5]. The results show that improved model can be solved optimally using optimization tool to achieve better revenue maximization. DOI: http://dx.doi.org/10.11591/telkomnika.v10i3.623

33 citations

Journal ArticleDOI
TL;DR: This study proposes a flat rate pricing mechanism with congestion control, called FRPCC, and performance evaluations show efficacy of,FRPCC approach in providing social welfare under fairness and preventing congestion.
Abstract: Success of cloud computing service depends on an acceptable pricing mechanism both by users and the service provider. Piece rate pricing by counting work load should be favorable for the service provider due to the QoS control and finite resource, such as computing and, communication powers. Though the pricing mechanism based on counting work load is reasonable and fair, the experiences learned from ADSL, 3G and Wi-Fi show a different story. The flat rate pricing mechanism is the winner all the way. This study proposes a flat rate pricing mechanism with congestion control, called FRPCC. In the cloud computing system, allocation of resources can be formulated as an optimization problem seeking to maximize the sum of the utility function of each user under the constraints of fairness. The piece rate pricing mechanism is easy to achieve the social welfare but is not easy to be acceptable for customers. Consequently, we propose a congestion control scheme to reach the same goal with a flat rate pricing mechanism. The proposed FRPCC approach can achieve social welfare in the cloud computing environment. Performance evaluations show efficacy of, FRPCC approach in providing social welfare under fairness and preventing congestion.

30 citations

Journal ArticleDOI
TL;DR: The results show that the two modified models slightly yield better solution rather than in original problem but with advantages that ISP has options to choose which of two models to be adopted depending on ISP goals in achieving the profit maximization.
Abstract: This paper will seek new proposed pricing plans to develop new pricing scheme that serve both customers and maximize the supplier profit as nowadays Internet Service Providers (ISPs) deal with high demand to promote good quality information but only a few pricing plans involve QoS networks. We are going to solve multi bottleneck links in multi QoS Network scheme as an optimization model by comparing two models in multi QoS networks by taking into consideration decision whether to set up base price to be fixed to recover the cost or to be varied to compete in the market and quality premium to be fixed to enable user to choose classes according to their preferences and budget or to be varied to enable ISP to promote certain service. The results were obtained by aid of LINGO 13.0 software application. The results show that our two modified models slightly yield better solution rather than in original problem but with advantages that ISP has options to choose which of two models to be adopted depending on ISP goals in achieving the profit maximization.

28 citations