Service capacity allocation and pricing

Author

Tian, Chunhua ; Li, Feng ; Cao, RongZeng ; Ding, Wei

Author_Institution

IBM China Res. Lab., Beijing

fYear

2008

fDate

7-11 April 2008

Firstpage

678

Lastpage

681

Abstract

This paper studies service revenue management problem by combining resource allocation with pricing optimization. We begin a homogeneous and deterministic demand scenario, where the optimization can be deduced to a linear equation problem. Then we show how such property can be leveraged in stochastic and heterogeneous scenarios to reduce computational complexity. The efficiency of such algorithm is illustrated in the experiment by the comparison with some popular algorithms.

Keywords

financial management; optimisation; pricing; resource allocation; telecommunication network management; telecommunication services; computational complexity; linear equation problem; pricing optimization; resource allocation; service capacity allocation; service pricing; service revenue management problem; Communication industry; Computational complexity; Computer network management; Costs; Elasticity; Equations; Pricing; Resource management; Stochastic processes; Web and internet services; capacity allocation; revenue management; service pricing;

fLanguage

English

Publisher

ieee

Conference_Titel

Network Operations and Management Symposium, 2008. NOMS 2008. IEEE

Conference_Location

Salvador, Bahia

ISSN

1542-1201

Print_ISBN

978-1-4244-2065-0

Electronic_ISBN

1542-1201

Type

conf

DOI

10.1109/NOMS.2008.4575187

Filename

4575187