海量综合多媒体信息资源的分层调度方法仿真

Simulation of Hierarchical Scheduling Method for Massive Integrated Multimedia Information Resources

综合多媒体平台采用多服务器联合模式完成其信息通信等功能,信息资源易出现冗余问题,导致目标资源调度困难问题。分层组调度是实现未来无线多媒体网络的关键技术之一,因此提出海量综合多媒体信息资源分层调度方法。根据深度语义信息计算多媒体信息资源的相似度,并利用确定性删除方法过滤相似度较高的信息资源。构建多媒体信息资源分层调度模型,将优化后的多媒体信息资源输入上述模型,并利用蚁群算法求解模型,实现海量综合多媒体信息资源的分层调度。仿真结果表明,研究方法对海量综合多媒体信息资源分层调度后,用户检索结果与实际目标信息资源的匹配度较高,资源调度所消耗的时间更短。

At present,the integrated multimedia platform adopts the multi-server mode to complete the information communication.However,the redundancy of information resources is easy to result in the difficulty of tar-get resource scheduling.Hierarchical group scheduling is one of the key technologies to realize the wireless multimedia network in the future.Therefore,a hierarchical scheduling method of massive integrated multimedia infor-mation resources was proposed.Firstly,the similarity of multimedia information resources was calculated based on the deep semantic information.Meanwhile,the information resource with high similarity was filtered by the deterministic deletion method.Then,a hierarchical scheduling model for multimedia information resources was constructed.Moreo-ver,the optimized multimedia information resource was input into the model.Furthermore,the ant colony algorithm was used to solve the model,thus realizing the hierarchical scheduling.Simulation results prove that the matching de-gree between user retrieval results and actual target information resources is higher after the hierarchical scheduling of massive integrated multimedia information resources,so the method achieves shorter resource scheduling time.