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Please use this identifier to cite or link to this item: https://ah.nccu.edu.tw/handle/140.119/76064


Title: Analysis of bandwidth allocation on end-to-end QoS networks under budget control
Authors: Wang, Chia-Hung
王嘉宏
Luh, Hsing Paul
陸行
Contributors: 應數系
Keywords: Budget constraint;Convexity;Core networks;Efficient designs;End-to-end QoS;Erlang loss formula;Internet economics;Monotonicity;Multiple class;Network service providers;Operational process;Optimality conditions;Revenue management;Service class;Solution algorithms;Stochastic traffic;Traffic class;Traffic demands;Virtual paths;Bandwidth;Blocking probability;Budget control;Commerce;Economics;Elasticity;Probability;Quality of service;Sensitivity analysis;Telecommunication networks;Telecommunication systems
Date: 2011-07
Issue Date: 2015-06-22 16:17:48 (UTC+8)
Abstract: This paper considers the problem of bandwidth allocation on communication networks with multiple classes of traffic, where bandwidth is determined under the budget constraint. Due to the limited budget, there is a risk that the network service providers can not assert a 100% guaranteed availability for the stochastic traffic demand at all times. We derive the blocking probabilities of connections as a function of bandwidth, traffic demand and the available number of virtual paths based on the Erlang loss formula for all service classes. A revenue/profit function is studied through the monotonicity and convexity of the blocking probability and expected path occupancy. We present the optimality conditions and develop a solution algorithm for optimal bandwidth of revenue management schemes. The sensitivity analysis and three economic elasticity notions are also proposed to investigate the marginal revenue for a given traffic class by changing bandwidth, traffic demand and the number of virtual paths, respectively. By analysis of those monotone and convex properties, it significantly facilitates the operational process in the efficient design and provision of a core network under the budget constraint. © 2011 Elsevier Ltd. All rights reserved.
Relation: Computers and Mathematics with Applications, 62(1), 419-439
Data Type: article
DOI link: http://dx.doi.org/10.1016/j.camwa.2011.05.024
Appears in Collections:[Department of Mathematical Sciences] Periodical Articles

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