路由冲突下的语义检索嵌入式任务调度算法

Semantic Retrieval Embedded Task Scheduling Algorithm in Routing Conflict

在路由冲突协议下难以实现对语义检索任务的嵌入式调度,在路由冲突协议设计和网络协议识别中,由于语义检索码在链路负载导致网络通信效率低下,为了提高语义检索任务的调度能力,避免路由冲突,提出一种基于语义相似度融合的Linux嵌入式任务调度算法。通过语义相似度特征模型构建,易于实现语义检索的嵌入式任务调度和路由信息分流。对每组语义相似度特征进行特征融合,得到Linux嵌入式分流矩阵向量长度,进行特征分解,得到样本协方差,实现算法改进。仿真结果得出,算法具有较高的吞吐率和召回率,执行效率较高,检索精度优越,有效提高了语义检索嵌入式任务调度的运行效率。在语义系统构建和检索优化设计中具有较好的应用前景。

Routing protocol in the conflict is difficult to realize the embedded semantic retrieval task scheduling, routing conflict in protocol design and network protocol recognition, because the semantic retrieval code in the link load leads to low efficiency of network communication, in order to improve the semantic retrieval task scheduling ability, avoid routing conflict, put forward a kind of embedded Linux task scheduling algorithm semantic similarity based on fusion. Through the construction of semantic similarity feature model, easy to realize semantic retrieval embedded task scheduling and routing information shunt. Feature fusion of each semantic similarity features, get Linux embedded shunt matrix vector length, ei-genvalue decomposition, get the sample covariance, improved algorithm, simulation results show that this algorithm has higher throughput rate and recall rate, high efficiency, excellent retrieval accuracy and efficiency of semantic retrieval em-bedded task scheduling. In the semantic system construction and optimization of information retrieval has better application prospect in the design.