Pricing and measurement-based optimal resource allocation in next generation network services

被引:0
|
作者
Kallitsis, Michael G. [1 ]
Michailidis, George [2 ]
Devetsikiotis, Michael [1 ]
机构
[1] North Carolina State Univ, Dept Elect & Comp Engn, Raleigh, NC 27695 USA
[2] Univ Michigan, Dept Stat, Ann Arbor, MI 48109 USA
关键词
D O I
暂无
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
In this paper, we enhance our previous work regarding optimal resource allocation of next generation network services under a flat pricing scheme and quality, of service policies. We present a complete framework that makes our model to dynamically allocate the resources whenever required. In order to do that, we apply an online traffic estimator and we monitor traffic changes using an Exponentially Weighted Moving Average control chart. Hence, the profit maximization of the provider is done efficiently. Finally, the performance of our framework is investigated through various simulation scenarios.
引用
收藏
页码:189 / +
页数:3
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