基于可信拍卖机制的视频移植定价策略

丛鑫; 訾玲玲; 孙劲光

doi:10.11959/j.issn.1000-436x.2016072

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基于可信拍卖机制的视频移植定价策略

学术论文 | 更新时间：2024-06-05

- 基于可信拍卖机制的视频移植定价策略
- Pricing strategy for video migration based on truthful auction mechanism
- 通信学报 2016年37卷第4期页码：1-65
- 作者机构：
  
  辽宁工程技术大学电子与信息工程学院，辽宁葫芦岛125105
- 作者简介：
  
  [ "丛鑫（1982-），男，辽宁阜新人，博士，辽宁工程技术大学讲师，主要研究方向为P2P技术、云计算和流媒体。" ]
  [ "訾玲玲（1981-），女，辽宁阜新人，博士，辽宁工程技术大学讲师，主要研究方向为智能软件、图形图像与多媒体。" ]
  [ "孙劲光（1962-），女，辽宁阜新人，博士，辽宁工程技术大学教授、博士生导师，主要研究方向为信息可视化技术与智能化救灾。" ]
- 基金信息：
  
  国家科技支撑计划：矿业组合服务支撑平台研究开发基金资助项目(2013BAH12F02);辽宁工程技术大学博士启动基金资助项目(14-1045);辽宁工程技术大学博士启动基金资助项目(14-1126);辽宁省教育厅科学研究一般基金资助项目(L2015225)
- DOI：10.11959/j.issn.1000-436x.2016072
  中图分类号： TP393
- 网络首发：2016-04，
  
  纸质出版：2016-04-25
- 稿件说明：
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丛鑫, 訾玲玲, 孙劲光. 基于可信拍卖机制的视频移植定价策略[J]. 通信学报, 2016,37(4):1-65.

ONGXin C, ILing-ling Z, UNJin-guang S. Pricing strategy for video migration based on truthful auction mechanism[J]. Journal of Communications, 2016, 37(4): 1-65.
丛鑫, 訾玲玲, 孙劲光. 基于可信拍卖机制的视频移植定价策略[J]. 通信学报, 2016,37(4):1-65. DOI： 10.11959/j.issn.1000-436x.2016072.

ONGXin C, ILing-ling Z, UNJin-guang S. Pricing strategy for video migration based on truthful auction mechanism[J]. Journal of Communications, 2016, 37(4): 1-65. DOI： 10.11959/j.issn.1000-436x.2016072.

摘要

提出基于可信拍卖机制的视频移植定价策略LBAS，降低视频服务的单位成本。首先，依据市场经济价格规律，由视频提供商以未来视频请求为自变量制定视频类的服务价格，有利于降低视频提供商费用支出；其次，设计了距离函数，衡量视频服务单位成本，计算云提供商给出的价格和视频提供商预期价格之间的差距，确定能赢得竞拍的云提供商；再次，以云提供商预期收益为基准，提出可替换视频集的视频分配算法，提升云提供商的满意度和降低视频提供商的费用；最后，改进联盟抑制算法 AEM，使其适应低价格拍卖机制并加入了视频数量检测机制，能避免由于竞拍者联合而使视频提供商利益受损。与当前最新的移植方案VMC 相比，实验结果表明LBAS能进一步降低约10%的费用。

Abstract

In order to decrease the unit costs of video service

pricing strategy LBAS for video migration based on truthful auction mechanism was proposed. Firstly

according to the principles of market economy prices

service prices using the future video demand as independent variable were laid down by the VoD provider

so as to decrease the costs of the VoD provider. Secondly

a distance function was designed to measure the unit costs of video service. The proposed function computes the distance between the costs providing by cloud providers and expected prices offering by the VoD provider

and the obtained distance was used to determine who can win the auction. Thirdly

replaceable video alloca-tion algorithm based on the benefits of cloud providers was presented. The proposed algorithm increases the satisfaction of cloud providers and decreases the costs of the VoD provider. Finally

the AEM algorithm was improved through estab-lishing the detection mechanism of video number

so as to adapt to the low-bid auction. The improved algorithm avoids the collusion among bidders and assurances the benefits of the VoD provider. The experiment results demonstrate that LBAS can decrease 10% of the costs compared to the VMC strategy.

关键词

Keywords

references

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