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An Adaptive Pricing Scheme for Content Delivery Systems Srinivasan Jagannathan & Kevin C. Almeroth
 

Summary: An Adaptive Pricing Scheme for Content Delivery Systems
Srinivasan Jagannathan & Kevin C. Almeroth
Department of Computer Science
University of California
Santa Barbara, CA 93106-5110
jsrini,almeroth¡ @cs.ucsb.edu
Abstract--Content delivery has become an important enterprise on the
Internet. There exists a huge demand for bandwidth-intensive, rich mul-
timedia content like news, entertainment services and software. Two key
issues associated with any content-delivery system are: revenue and user
satisfaction. In this paper, we explore the domain of pricing for content de-
livery, and how it relates to revenue, and system utilization. A fundamen-
tal contribution of this paper is to consider a probabilistic user behavior
model where users can refuse the offered service based on their capacity
to pay and the price quoted. As a first step, we consider a system which
delivers multimedia content on a First-Come-First-Served basis, and ana-
lyze pricing mechanisms which maximize the expectation of revenue. We
argue that charging a constant price based on the customers' capacities to
pay maximizes the expected revenue. Since the customers' capacities are
highly varying and not known beforehand, we develop an adaptive pric-

  

Source: Almeroth, Kevin C. - Department of Computer Science, University of California at Santa Barbara

 

Collections: Computer Technologies and Information Sciences