计算机应用与软件2017，Vol.34Issue(4)：125-130,134,7.DOI:10.3969/j.issn.1000-386x.2017.04.022
传感资源云共享的动态定价策略
DYNAMIC PRICING STRATEGY OF SENSOR RESOURCE IN CLOUD SHARING
摘要
Abstract
Aiming at the problem of sensor resources transaction sharing in the cloud market, a dynamic pricing strategy of sensing resource (DPS-SR) and a stable matching algorithm based on combinatorial double auction (CDA-SMA) are proposed.DPS-SR takes into account the historical transaction price, the market supply and demand situation, the supply side resource load ratio and the demand side anxious degree to give a reasonable supply and demand quotation;CDA-SMA achieves two-way stable matching based on both supply and demand preferences.DPS-SR and CDA-SMA are used to realize the dynamic pricing of sensor resources.The simulation results show that this pricing strategy has better adaptability than the traditional fixed-rate pricing in different market supply and demand situations.关键词
传感数据资源/云资源共享/动态报价策略/组合双向拍卖/资源负荷率/焦急度Key words
Sensor data resource/Cloud resource sharing/Dynamic pricing strategy/Combinatorial double auction/Resource load ratio/Anxious degree分类
信息技术与安全科学引用本文复制引用
郭文艳,孙英华,周超,范延滨..传感资源云共享的动态定价策略[J].计算机应用与软件,2017,34(4):125-130,134,7.基金项目
山东省计算机网络重点实验室开放课题基金项目(SDKLCN-2013-07). （SDKLCN-2013-07）
