ID 原文 译文
4773 针对移动群智感知(MCS)任务分发的有效性和精准性问题,提出了基于社区的任务分发算法。 A community-based task distribution algorithm was proposed to solve the problem of the validity of mobilecrowd sensing (MCS) task distribution.
4774 为了解决所提问题,该方法首先通过计算移动节点间的最小生成树、连接参量、社区融合度,抽象和识别出节点的行为模式,将用户合理划分成不同的社区, By calculating the minimum spanning tree (MST), the connection parameter (CP)and the community convergence degree (CI) between the mobile nodes, the behavior patterns of the users were abstractedand identified to rationally divide the nodes into different communities.
4775 然后计算感知任务与社区行为模式特征值的匹配度,根据匹配度由社区的中心节点完成任务的分发。 Then, the eigenvalue matching degree of thecommunity behavior patterns with the sensing task was calculated. According to the matching degree, the distribution of the corresponding tasks was completed by the central node of the community.
4776 仿真结果表明,与其他算法相比,所提方法有效地提高了任务分发的精确性和任务完成率,节约了任务完成的时间成本。 The simulation results show that the pro-posed method can effectively improve the accuracy of the task distribution and the task completion rate, and save the timecost of the task completion.
4777 针对以 Tor 为代表的匿名通信系统在时延和下载时间方面的用户体验不够理想的问题,利用新一代软件定义网络带来的优势,面向接收方不可追踪,设计了新的匿名解决方案。 Leveraging the advantages of software defined networking (SDN), a new anonymous communication solution was de-signed for recipient untraceability. An obfuscation scheme in SDN domain was proposed to build a hybrid ano-nymous channel to solve the problem of large and highly variable delays and download time when using existing ano-nymous com-munication system such as Tor.
4778 提出使用 SDN 域内淆乱的方法,构建基于 Tor 和 SDN 的混合匿名通道,提供发送方和接收方匿名,拓展了 Tor 匿名通道的纵深,有效降低了攻击者对匿名路径的追踪率。 The hybrid anonymous channel concatenated two sender anonymous chan-nels in Tor and SDN to provide both sender and receiver anonymity. Adversaries can trace smaller portions of the path inhybrid channel.
4779 实验结果表明,相比 Tor,所提方案在增加 15%时延的代价下,可提供相当于 2 条 Tor 电路的抗追踪能力。 Experimental results show that the hybrid channel is as anonymous as two connected Tor circuits, withonly a small larger latency (15%) compared with Tor.
4780 针对视频初始缓冲队列长度难以准确测量的问题,对非加密的优酷和加密的 YouTube 两类视频平台进行研究,提出了视频初始缓冲队列长度测量方法。 To resolve the difficulty in accurately measure the length of video initial buffering queue, two video platforms,non-encrypted Youku and encrypted YouTube, were selected to research, and the video initial buffer queue length mea-surement method was proposed.
4781 通过识别分析视频流量特征,关联流量行为与播放状态,构建视频指纹库,实现了队列长度的准确测量。 By identifying and analyzing the characteristics of video traffic, correlating the trafficbehavior with the playing state, constructing video fingerprint database, accurate measurement of queue length was rea-lized.
4782 实验结果表明,两类视频平台的测量结果均能够精确到帧,完全满足准确评估视频体验质量的需要。 The experimental results show that the measurement results of the two types could be accurate to the frame, fullymeeting the need to accurately evaluate the quality of the video experience.