QoS感知的多任务遥感信息服务优化组合非合作博弈模型

¹中南大学土木建筑学院,长沙市韶山南路22号410075;²武汉大学测绘遥感信息工程国家重点实验室,武汉市珞喻路129号,430079;³佛罗里达大学城市与区域规划系,美国佛罗里达州盖恩斯维尔市,32611

基金项目: 国家创新研究群体科学基金资助项目(40721001)

详细信息

A Non-Cooperative Game Model for QoS-Aware Optimal Composition of Remote Sensing Information Services for Multi-task

¹School of Civil and Architectural Engineering,Central South University,22 South Shaoshan Road,Changsha 410075,China;(2 State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,129 Luoyu Road,Wuhan 430079,China;(3 Department of Urban and Regional Planning,University of Florida,32611,USA

Funds: 国家创新研究群体科学基金资助项目(40721001)

摘要: 提出了QoS感知的多任务服务优化组合非合作博弈模型,准确刻画了不同任务之间的竞争关系,在此基础上设计了顾及QoS的遥感信息服务优化组合反应函数,为求解遥感信息服务优化组合奠定理论基础。理论和实验分析表明,该模型有利于减少任务并发时的资源冲突,最大化所有任务的平均效用。
- 遥感信息服务 /
- QoS感知 /
- 优化组合
Abstract: A non-cooperative game model for QoS-aware optimal composition for multi-task is proposed to analyze services optimal composition strategies of tasks in competition situation,the competition relationships among concurrency tasks are described,and defines the best reply functions for QoS-aware optimal composition of remote sensing information services.Theoretical analysis shows that the proposed non-cooperative game model can reduce the conflicts among concurrency tasks effectively and maximize expectation utility of all tasks.
- remote sensing information services /
- QoS aware /
- optimal composition