ID 原文 译文
44886 综合考虑转发成本以及流量平衡情况，给出了虚拟网络功能放置与服务功能链路由的联合优化模型，该优化模型是NP-Hard 问题。 Considering forwarding cost and traffic load balance, a joint optimization model of virtual network function placement and service function chain routing was given and was proved to be NP-Hard.
44887 为了求解该问题，提出两种启发式算法： In order to solve this model, two heuristic algorithms were proposed.
44888 一种是先路由后放置（FRTP, first routing then placing）的服务链部署算法，另一种是基于节点优先级的先放置后路由（PFBR, placing followed by routing）的服务链部署算法。 One was the service chain deployment algorithm of first routing then placing (FRTP) and the other was the placing followed by routing (PFBR) based on node priority.
44889 仿真结果表明，与其他算法相比，提出的 FRTP 和 PFBR 算法能显著平衡网络中的流量负载，改善链路拥塞情况，从而提高服务功能链请求接受率。 Simulation results demonstrate that FRTP and PFBR algorithm can significantly balance network traffic load while alleviating congestion and improving the acceptance ratio of the chain requests com-pared with other algorithms.
44890 将图像处理技术与机器学习方法相结合是恶意代码可视化研究的一个新方法。 It is a new method that uses image processing and machine learning algorithms to classify malware samples in malware visualization field.
44891 在这种研究方法中，恶意代码灰度图像纹理特征的描述对恶意代码分类结果的准确性影响较大。 The texture feature description method has great influence on the result.
44892 为此，提出新的恶意代码图像纹理特征描述方法。通过将全局特征（GIST）与局部特征（LBP 或 dense SIFT）相融合， To solve this problem, a new method was presented that joints global feature of GIST with local features of LBP or dense SIFT in order to construct combinative descriptors of malware gray-scale images.
44893 构造抗混淆、抗干扰的融合特征，解决了在恶意代码灰度图像相似度较高或差异性较大时全局特征分类准确性急剧降低的问题。 Using those descriptors, the malware classification performance was greatly improved in contrast to traditional method, especially for those samples have higher similarity in the different families, or those have lower similarity in the same family.
44894 实验表明，该方法与传统方法相比具有更好的稳定性和适用性， A lot of experiments show that new method is much more effective and general than traditional method.
44895 同时在较易混淆的数据集上，分类准确率也有了明显的提高。 On the confusing dataset, the accuracy rate of classification has been greatly improved.