The paper has proposed the use of dynamically priced network services to provide QoS guarantees within a network. End-to-end QoS can be achieved by using several of these services, perhaps from different ISPs. This paper considers the problem of determining the bandwidth to allocate each service in order to maximize revenue, assuming that a single ISP can estimate the demand curves for each of its services. The paper develops and analyzes two heuristics which provide time versus revenue tradeoffs. To determine the optimality of the solutions, it maps the optimal allocation problem into a multiple choice multidimensional knapsack problem that approaches optimality as it increase the number of bandwidth allocation choices for each service.
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