topology of networks meaning in English
网络拓扑学
Examples
- Puts forward the hierarchical network method based on the topology of network plan to simplify the complicated and big network plan on some layer of the multi - stage network plan , and give the relative time parameters calculation model
提出了基于拓扑结构的分级网络计划方法以简化多阶网络计划中某些阶次上的大型、复杂网络计划，并建立了基于拓扑结构的分级网络计划模型和时间参数计算模型。 - Therefore , the pancyclicity is a very important measurement for determining whether a topology of network is suitable for an application , where mapping rings of any length into the topology of network is required
而对于一个网络来说，是否适合于应用，泛圈性是一个重要的决定因素。考察超立方体q _ n和mbius这两个重要的网络拓扑结构，比较他们的泛圈性，连通度等性质，从而比较他们各自的优越性。 - In order to verify the validity of our algorithms , we proposed a network simulation model for any - cast routing algorithms with incomplete network state information . we structure the topology of network , the capability of every link , produce the source / destination group nodes concerned in services
为验证算法的有效性，我们设计了网络模拟平台，构造网络的拓扑结构及各条链路的容量，生成相关的服务源目的组节点。 - The main factor that affects the network capability includes the bandwidth , the node function , the topology of networks , the router arithmetic , the protocol of communication , and the network application etc . for the sake of the improvement of networks ` capability characteristic , many researchers put forward many outstanding tentative plans and methods
影响计算机网网络性能的主要因素是链路带宽、节点性能、网络拓扑、路由算法、通信协议、拥塞控制、网络配置以及网络应用等。为了改善网络的性能特性,研究人员提出了许多好的设想或改进方法。 - In the general model there are many factors effecting the algorithm of task matching and scheduling , such as data dependencies among tasks , processor ' s processing speed , topology of network connectivity , communication protocol and bandwidth , volume of transferring data , etc . in each model , we proposed two genetic algorithms for task matching and scheduling , one is for single decomposed task , the other as a cga is for multiple independent tasks
一般模型中任务分配与调度受到系统多种因素的影响，如任务间的数据逻辑关系、各处理机的计算速度、网络拓扑结构、节点间通信机制以及通信波特率、数据流量大小等等。在考虑上述影响因素的基础上，分别提出单任务分配与调度的遗传算法和独立多任务分配与调度的共同进化算法。