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In this paper, we present a stochastic model for optimizing capacity allocation in Communication Networks (CNs) with a loss rate constraint, a profit shortfall risk and a penalty cost. The model is proposed for offline traffic engineering optimization, taking a centralized view of bandwidth allocation, performance control and risk of profit shortfall. First, we present an analysis of the capacity allocation problem to derive the optimal bandwidth capacity with a loss rate constraint. Due to the random traffic load, there exists a risk of CN profit shortfall. We use a mean-variance approach to analyze the risk averseness in CNs and we also derive the optimal bandwidth capacity with risk averseness. Second, we present an analysis of the capacity allocation problem to derive the optimal bandwidth capacity with a penalty cost. Finally, numerical results are shown to reveal the impacts of loss rate constraint, risk averseness and penalty cost on the CNs' performance. The results presented in this paper reveal insights for CNs' design and planning.
identifier:110004627552
収録刊行物
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- 甲南大学紀要. 理工学編 = Memoirs of Konan University. Science and engineering series
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甲南大学紀要. 理工学編 = Memoirs of Konan University. Science and engineering series 52 (1), 105-124, 2005-07-31
甲南大学
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詳細情報 詳細情報について
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- CRID
- 1390009224773002624
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- NII論文ID
- 110004627552
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- NII書誌ID
- AA11561231
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- ISSN
- 13480383
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- NDL書誌ID
- 7790543
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- 本文言語コード
- en
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- データソース種別
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- JaLC
- IRDB
- NDL
- CiNii Articles