A distributed resource adaptive scheduling algorithm GLBCQ(Global Load Balance and Customed QoS)is proposed,which could take the customed QoS requirement of ITS computing tasks and current system load status of ITSGrid into account and select the optimal resources for the submitted tasks adaptively.Experimental result showed that compared to classical algorithms,GLBCQ has a higher efficiency and adaptability which could promote load balance and overall performance of the ITSGrid.
随着社会的发展,交通需求也随之快速增长,对现有的智能交通系统(ITS)应用提出更多更高的要求.为了更好地支持ITS的各类计算服务,高效管理ITS中海量具有分布性、异构型、自治性和动态性[1]等复杂特征的计算资源,智能交通系统网格(Intelligent Transportation System Grid,ITSGri
| 
推荐 
点击下列相关研究机构和相关文献作者，可以直接查到这些机构和作者被《中国知识资源总库》收录的其它文献，使您全面了解该机构和该作者的研究动态和历史。
