标题： 视频传输中IP网络的随机TCO最小化 显示英文标题

标题： Stochastic TCO minimization for Video Transmission over IP Networks

摘要： 从服务运营商的角度来看，开发通信服务的总拥有成本（TCO）由两部分组成；资本支出（CAPEX）和运营支出（OPEX）。 这两种类型的成本相互关联，并影响任何服务提供商的部署策略。 在许多传统方法中，选择新服务的关键元素是通过启发式方法进行的，旨在仅减少TCO的OPEX部分，这并不一定是最优的。 此外，对这类服务的精确成本建模并不总是可能的，并且包含一些不确定性。 在当前的研究中，在捕获模型不确定性的影响后，对每个视频流媒体元素进行成本建模，将IP网络上的视频流媒体TCO优化问题表述为一个随机优化问题。 所提出的优化问题的解可以应对成本建模的不确定性，并跟踪TCO的变化，从而得到一个随时间变化的最优解。 数值分析结果验证了所开发的方法。 显示英文摘要

摘要： From the viewpoint of service operators the Total Cost of Ownership (TCO) for developing a communication service comprises from two parts; CAPital EXpenditure (CAPEX) and OPerational EXpenditure (OPEX). These two types of costs are interrelated and affect any service provider's deployment strategy. In many traditional methods, selection of critical elements of a new service is performed in a heuristic manner aimed at reducing only the OPEX part of the TCO which is not necessarily optimal. Furthermore, exact cost modeling for such services is not always possible and contains some uncertainties. In the current work, after cost modeling of each video streaming element by capturing the effect of the model uncertainties, the TCO optimization problem for video streaming over IP networks is formulated as a stochastic optimization problem. The solution of the proposed optimization problem can cope with the cost modeling uncertainties and track the dynamism in the TCO and lead to a time-varying optimal solution. Numerical analysis results verify the developed method.