Queuing models can help ensure that the SOA is robust and production ready.
队列模型可以帮助确保SOA的稳定性和生产可用性。
Queuing models can help identify the effects of blocking worker threads in an SOA.
队列模型能够帮助标识soa中阻塞工作线程的影响。
To determine the thresholds of the occupied buffer level, two queuing models with different arrivals are established.
通过分析两种到达情况的排队模型，给出了缓冲区门限的选取原则。
Explored the potential prospect to apply shared memory approach in EPFTS based on typical switch fabric and queuing models.
通过计算，设计了能用于EPFTS交换机的局部共享存储器的基本方案。
The characteristics and deficiencies of current queuing models are discussed and a novel model is brought forward in packet level.
讨论了当前排队模型的特点与不足，从分组层次上提出了一种新的模型。
The experimental results suggest that the queuing models established in packet level have better performance than those in ON-OFF sources level.
实验结果表明，从分组层次上建立的排队模型在性能上优于ON - OF F源层次上的模型。
With queuing models, you both visually represent a system and vary parameters, such as timeouts and average response times, and understand their effects on a system.
通过队列模型，不仅可以可视地对系统和各种参数加以表示(如超时和平均响应时间)，而且还能够了解其对系统的影响。
The queuing theory models in Figures 7 and 8 illustrate quantitatively how aggressive timers increase the service rate (or throughput) of the application server.
图7和图 8 中的队列理论模型以量化方式说明了主动计时器可如何提高应用服务器的服务速率（或吞吐量）。
Problems will be drawn from the application of quantitative analysis to decision making, including linear programming, and network, inventory, queuing, and simulation models.
课程重点涵盖从定量分析到决策的一系列应用程序，包括线性规划、网络、清单、队列及模拟模式。
This article presents a modeling method based on common I/O paths to describe current storage architectures. Queuing network models are presented for server storage systems and Data Centers.
基于数据存储I/O通道，为“服务器存储”和“数据中心”两种典型存储结构建立排队模型，利用模型对比分析两种结构的性能特点。
Based on the analysis of the characteristics of traffic flow under crowded road, an improved models of parking wave and starting wave were used to calculate queuing length and queuing duration.
在分析道路堵塞时交通流特性的基础上，基于改进的停车波与启动波模型，推导出道路堵塞时车辆排队长度和排队持续时间的计算模型，并用实际例子对该方法的有效性进行验证。
The paper models queue system using queuing theory, finite state machine principle, and cellular automata model.
本文利用排队论、有限状态自动机原理以及元胞自动机模型对排队系统进行建模。
Based on the analysis, the models are setup by queuing theory and method, and the models are also analyzed.
基于上述分析，利用随机服务理论建立了两个典型情况下的突防模型。
Some results proved that self-similarity was a common property of network traffic, and self-similarity exhibits different queuing features from the traditions models.
不管是网络业务流模型还是网络性能分析，不得不重新考虑这种新的特性。当然，对于产生这种业务流的原因更是一个迫切需要解决的问题。
Some results proved that self-similarity was a common property of network traffic, and self-similarity exhibits different queuing features from the traditions models.
不管是网络业务流模型还是网络性能分析，不得不重新考虑这种新的特性。当然，对于产生这种业务流的原因更是一个迫切需要解决的问题。
应用推荐