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Description: single-server queueing system
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Size: 2048 |
Author: merve |
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Description: 讨论路由中的lookup及packet classification-CS 268: Route Lookup and
Packet Classification
E2E principle
- Describe the end-to-end principle. Give one example in which
implementing a particular functionality at a lower layer breaks
this principle, and one example in which it does not. Explain.
Fair Queueing
- (a) What problem does Fair Queueing address? Describe the
Fair Queuing algorithm.
- (b) What is the system virtual time and what it is used for?
Differentiated Services
- Compare Assured and Premium services. How is each of
them implemented at edge and core routers?
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Size: 189440 |
Author: Reguse |
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Description: SIMMM1 simulate a M/M/1 queueing system. Poisson arrivals of intensity lambda. Poisson service times S of intensity mu.
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Size: 1024 |
Author: gia cat |
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Description: M/M/1 queueing system
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Size: 1024 |
Author: karim |
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Description: MM320 queuing system simulation,This Code Simulates an M/M/1 Queueing System
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Size: 2048 |
Author: Irene |
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Description: M/M/1 Basic Queueing System
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Size: 262144 |
Author: Icharis |
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Description: 模拟银行排队序列问题,运用M/G/1模型-simulation for queueing system
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Size: 64512 |
Author: 李朝 |
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Description: Queueing theory for telecommunications - Discrete time modelling of a single node system - Attahiru Sule Alfa
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Size: 1306624 |
Author: ramsetii |
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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
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Size: 1024 |
Author: Giren |
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Description: In queueing theory, the M/M/c queue is a multi-server queueing model.[1] In Kendall s notation it describes a system where arrivals form a single queue and are governed by a Poisson process, there are c servers and job service times are exponentially distributed.[2] It is a generalisation of the M/M/1 queue which considers only a single server. The model with infinitely many servers is the M/M/∞ queue.
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Size: 1024 |
Author: Giren |
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Description: In queueing theory, a discipline within the mathematical theory of probability, Buzen s algorithm (or convolution algorithm) is an algorithm for calculating the normalization constant G(N) in the Gordon–Newell theorem. This method was first proposed by Jeffrey P. Buzen in 1973.[1] Computing G(N) is required to compute the stationary probability distribution of a closed queueing network.
Performing a naï ve computation of the normalising constant requires enumeration of all states. For a system with N jobs and M states there are \tbinom{N+M-1}{M-1} states. Buzen s algorithm "computes G(1), G(2), ..., G(N) using a total of NM multiplications and NM additions." This is a significant improvement and allows for computations to be performed with much larger networks.
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Size: 24576 |
Author: goot10 |
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Description: Storm是一个实时系统的查询,有twitter发布的-Storm integrates with any queueing system and any database system. Storm’s spout abstraction makes it easy to integrate a new queuing system. Example queue integrations include:
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Size: 1301504 |
Author: micklongen |
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Description: M/M/1排队系统仿真
支持图形化截面模拟仿真M/M/1排队系统。-A simulation software to simulate a M/M/1 Queueing system.
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Size: 2096128 |
Author: 程双梅 |
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Description: GG1排队系统的相关研究,基于Matlab仿真实现-Research on GG1 queuing system, based on Matlab simulation
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Size: 204800 |
Author: ellen |
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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.)
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Size: 11264 |
Author: 阿杰哟666 |
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