Distributed Pricing For Embedded ATM Networks

Murphy, John; Murphy, Liam; Posner, Edward C.

doi:10.1016/b978-0-444-82031-0.50108-6

Cited by 50 publications

(33 citation statements)

References 6 publications

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“…The views and conclusions contained herein are those of the authors and should not be interpreted as necessarily representing the official policies or endorsements, either expressed or implied, of the DARPA, AFOSR or the U.S. Government. It has been demonstrated that resource pricing is an efficient mechanism for resource management, optimal allocations, and revenue generation [2], [3], [4], [6], [7]. However, the majority of these methods are not based on a market hierarchy, and do not consider how to provision resources.…”

Section: Introductionmentioning

confidence: 99%

Optimal Provisioning and Pricing of Internet Differentiated Services in Hierarchical Markets

Fulp

Reeves

2001

Networking — ICN 2001

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Abstract. Network service providers contract with network owners for connection rights, then offer individual users network access at a price. Within this hierarchy, the service provider must carefully provision and allocate (price) network resources (e.g. bandwidth). However, determining the appropriate amount to provision and allocate is problematic due to the unpredictable nature of users and market interactions. This paper introduces methods for optimally provisioning and pricing differentiated services. These methods maximizes profit, while maintaining a low blocking probability for each service class. The analytical results are validated using simulation under variable conditions. Furthermore, experimental results will demonstrate that higher profits can be obtained through shorter connection contracts.

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Section: Introductionmentioning

confidence: 99%

Optimal Provisioning and Pricing of Internet Differentiated Services in Hierarchical Markets

Fulp

Reeves

2001

Networking — ICN 2001

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“…Microeconomics can serve as an efficient mechanism for resource management, optimal allocations, and revenue generation [2][3][4][5][6][7][8]. An excellent description of the issues related to pricing and managing QoS-enabled networks in a retail market is provided in [2].…”

Section: Introductionmentioning

confidence: 99%

Bandwidth provisioning and pricing for networks with multiple classes of service

Fulp

Reeves

2004

Computer Networks

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“…A significant part of this work has dealt with single link networks [4,17,20,25], or with the allocation of a single resource per connection [4,5,7,10,14,17,18,20,25].…”

Section: Introductionmentioning

confidence: 99%

A pricing methodology for resource allocation and routing in integrated-services networks with quality of service requirements

Stoenescu

Teneketzis

2002

Mathematical Methods of Operations Research (ZOR)

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Abstract. We present an approach to the admission control, resource allocation and routing problem in connection-oriented networks that o¤er multiple services to users. Users' preferences are summarized by means of their utility functions, and each user is allowed to request more than one type of service. Each requested service may be delivered over one of many possible routes. Multiple types of resources are allocated at each link along the path of a connection. We assume that the relation between Quality of Service (QoS) and resource allocation is given, and we incorporate it as a constraint into a static optimization problem. The objective is to determine the amount of required resources and route for each type of service to maximize a welfare function that is equal to the sum of the users' utilities. We describe a competitive market economy that achieves the objective and satisfies the informational constraints imposed by the nature of the decentralized resource allocation and routing problem.

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Distributed Pricing For Embedded ATM Networks

Cited by 50 publications

References 6 publications

Optimal Provisioning and Pricing of Internet Differentiated Services in Hierarchical Markets

Optimal Provisioning and Pricing of Internet Differentiated Services in Hierarchical Markets

Bandwidth provisioning and pricing for networks with multiple classes of service

A pricing methodology for resource allocation and routing in integrated-services networks with quality of service requirements

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