https://github.com/imanghd/computerperformanceevaluation

Performance and Dependability Lab @ SUT
https://github.com/imanghd/computerperformanceevaluation

hidden-markov-model performance-analysis probability python simulation

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Performance and Dependability Lab @ SUT

• Host: GitHub
• URL: https://github.com/imanghd/computerperformanceevaluation
• Owner: iManGHD
• Created: 2023-10-12T11:36:32.000Z (about 1 year ago)
• Default Branch: main
• Last Pushed: 2024-10-13T14:57:21.000Z (3 months ago)
• Last Synced: 2024-10-20T10:03:37.111Z (3 months ago)
• Topics: hidden-markov-model, performance-analysis, probability, python, simulation
• Language: Python
• Homepage:
• Size: 14.6 MB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
# ComputerPerformanceEvaluation

This repository serves as a comprehensive collection of all the projects, homework assignments, and resources related to the Performance Evaluation course I completed in my fifth semester of my Master's degree at Sharif University of Technology. The course was instructed by Prof. Ali Movaghar from the Department of Computer Engineering. 

## Homework 1: M/M/1/K Queue Analysis

**Description:**  

This homework involves the analysis of an M/M/1/K queue system, focusing on its performance evaluation. The main task is to compute various performance metrics and analyze their implications.

**Parameters:**

- **Service Rate (μ):** The rate at which the service is provided.

- **Arrival Rate (λ):** The rate at which arrivals occur.

- **Queue Capacity (K):** Set to 14.

**Key Aspects Covered:**

- **Performance Metrics:** Calculation of the probability of having `n` customers in the system (`P_n`), average number of customers in the system (`N_c`), and probabilities of blocking (`P_b`) and dropping (`P_d`).

- **Simulation Results:** Results showing the impact of varying parameters on system performance.

- **Formulas Used:**

  - `P_n(λ, μ)` for the probability of `n` customers.

  - `N_c` for the average number of customers.

  - Calculation of `P_b` and `P_d` using the provided formulas.

- **Analysis:** Discussion on the impact of different parameters on system performance.

## Homework 2: Round Robin Scheduling Analysis

**Description:**  

This homework involves the analysis of the Round Robin scheduling algorithm within a queue system. It focuses on understanding how the Round Robin mechanism affects performance.

**Key Aspects Covered:**

- **Round Robin Scheduling:** Examination of the algorithm's performance in managing queues.

- **Performance Metrics:** Analysis of average wait time and throughput under different configurations.

- **Theoretical Evaluation:**

  - Calculation of performance metrics with given parameters (μ and θ).

  - Breakdown of theoretical results and their implications.

  - Evaluation of the impact of different time slices and system configurations.

## Homework 3: Theoretical Analysis

**Description:**  

This is a theoretical assignment that involves detailed questions and answers related to queue systems. It aims to test understanding of queueing theory concepts and their applications.

**Key Aspects Covered:**

- **Theoretical Questions:** A set of questions designed to explore various aspects of queueing theory.

- **Solutions:** Detailed answers and explanations for each question, providing insights into the theoretical aspects of queue systems.

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For further details on each homework, please refer to the corresponding files in this repository. Feel free to reach out if you have any questions or need additional information.