Description: 设计一个M/M/S/k排队系统模型，用C++进行仿真，计算一个新的服务请求在各个状态k下的阻塞率，绘制出到达率-阻塞率曲线(matlab)，并将理论值与仿真值进行比较。
M/M/S/k模型为服务请求到达间隔时间服从泊松分布、服务时间服从指数分布、系统有S个服务器、系统容量为k（有限个）的排队系统。如果一个服务请求到达排队系统时，系统内已有k个服务请求，那么这个服务请求就会被拒绝（即不为该服务请求安排服务器，也不会将其排入系统队列）。由于系统容量为k，有S个服务器，所以系统队列的长度为k-S。-The design of a M/M/S/k queuing system model, with C++ for simulation, calculation of a new service request in every state under the blocking rate k, the arrival rate of drawing- blocking probability curve (matlab), and the theoretical value and simulation values.
M/M/S/k model for the service request arrival time to obey Poisson distribution, exponential distribution of service time, the system has S servers, the system capacity of k (finite) of the queuing system. If a service request arrival queuing system, the system has k service request, then the service request will be rejected (that is, do not arrange for the service request server, nor will its queue into the system). Since the system capacity for the k, there are S servers, so the length of the queue system kS. Platform: |
Size: 112640 |
Author:张三 |
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Description: 随机数生成类。封装c++的rand函数，用于生成均匀、正态、伽马、贝塔、泊松、指数、几何等分布规律的随机数。
内含生成各分布的算法源码。各分布可通过ts测试。-A random number generator class. it Packages the rand function of C++,and is used to generate uniform, normal, gamma, beta, Poisson, exponential, geometric and other distribution of the random numbers. all The distributions can pass ts test. Platform: |
Size: 4096 |
Author:winxp |
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Description: matlab的随机过程仿真实现，包含泊松过程，指数分布，高斯分布等-matlab random process simulation to achieve, including the Poisson process, exponential distribution, Gaussian distribution Platform: |
Size: 10240 |
Author:马文涛 |
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Description: 在C#中，产生一般随机数用Random即可，但是，若要产生服从特定分布的随机数，就需要一定的算法来支持了，产生服从正态分布、泊松分布、指数分布以及负指数分布随机数的方法-A general random number in C#, you can use Random, but to have to obey a particular distribution of random numbers, you need a certain algorithm to support, resulting in a normal distribution, Poisson distribution, exponential distribution and negative exponential distribution the method of random number Platform: |
Size: 26624 |
Author:于立凯 |
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Description: 自己编写算法产生指定分布的伪随机数，文件夹中包括 均匀分布、指数分布、正太分布，泊松分布、二项分布，并同时对随机序列进行了分布检验和参数估计-Write your own algorithm to generate a pseudo-random number distribution specified folder, including the uniform distribution, exponential distribution, is too distribution, Poisson distribution, binomial distribution and random sequence distribution test and parameter estimation Platform: |
Size: 6144 |
Author:Celia Zhen |
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Description: Simulate queueing
In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model-In queueing theory, a discipline within the mathematical theory of probability, an M/M/1 queue represents the queue length in a system having a single server, where arrivals are determined by a Poisson process and job service times have an exponential distribution. The model name is written in Kendall s notation. The model is the most elementary of queueing models[1] and an attractive object of study as closed-form expressions can be obtained for many metrics of interest in this model Platform: |
Size: 1024 |
Author:Giren |
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Description: 在一定的资源数下，服从泊松分布到达和指数分布离开的用户，仿真在用户数不断增加时网络阻塞率。自己编写。-Under certain number of resources, and the Poisson arrival of the user leaves the exponential distribution, the blocking probability in the simulation the number of users increases. Write your own. Platform: |
Size: 1024 |
Author:蔡纪源 |
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Description: 这是一个M/M/C/∞排队系统，其中顾客按照泊松流输入，服务时间按照负指数分布，有C个服务台的单列多台并列服务系统。在这种系统，顾客到达系统后排成一个队列，然后到空闲的服务台接受服务，而每个服务台的服务时间都服从相同参数的负指数分布，服务完毕后顾客自动离去。(This is a M/M/C/ infinity queueing system, where the customers enter the Poisson flow, the service time is distributed according to the negative exponent, and there are C single row multiple parallel service systems of the service stations. In such a system, customers arrive at the system in the rear row into a queue, then receive service at the idle service desk, while the service time of each service station obeys the negative exponential distribution of the same parameter. After the service is finished, the customer automatically goes away.) Platform: |
Size: 11264 |
Author:阿杰哟666 |
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Search - poisson and exponential