In simulation studies, the arrival pattern represents how entities (customers, packets, jobs, etc.) arrive at a system over time. It is crucial for modeling real-world scenarios like: Customers arriving at a bank Requests reaching a web server Patients arriving at a hospital

1. Mid-West University
Graduate School of Science
and Technology
Birendranagar, Surkhet
Simulation and
Modeling
Aug 13 2024
BSC-CSIT
6th Sem
Topic: Generation Of Arrival Pattern
Presented by: Mohan Gc

2. Introduction
• The generation of arrival patterns refers to the process of defining and
modeling how entities, such as customers, packets, or jobs, enter a
system over time
• This process defines the timing and frequency of arrivals, which is
essential for optimizing system performance and resource
management
• This process is crucial for optimizing system performance, resource
allocation, and overall efficiency.

3. Importance of Arrival Patterns
• System Performance: Arrival patterns impact system efficiency
• Resource Allocation: Helps in optimal resource management
• Real-World Examples: Traffic management, network packet routing

4. Types of Arrival Processes
Poisson Process
Deterministic Process
Batch Process
Random Process

5. Poisson Arrival Process
Random arrivals at a constant average rate
Random arrivals with no memory of past events
Common in systems where events occur continuously and
independently
It is used in call centers and internet traffic

6. Deterministic Process
• Entities arrive at fixed, predictable intervals
• Highly regular and predictable
• Useful in systems with scheduled operations
• It is widely used in manufacturing process and public
transportation

7. Batch Process
• Entities arrive in groups at specific times
• Often used in systems with bulk operations
• Often used in systems with bulk operations
• It is generally used in group check-ins (airports, events) and bulk
data uploads or transfers

8. Random Process
• Entities arrive at unpredictable times, with no discernible pattern
• High variability and uncertainty
• Difficult to model and predict
• It is generally used in emergency service requests and unscheduled
maintenance or repairs

9. Steps to Generate Arrival Patterns
• Step 1: Define the type of arrival process
• Step 2: Determine the rate and interval of arrivals
• Step 3: Simulate and test the arrival model
• Visual: Flowchart of the process

10. Tools and Techniques for Modeling Arrival Patterns
• Simulation Software: MATLAB, Arena, Simulink
• Modeling Techniques: Monte Carlo simulations, queuing theory
• Visual: Icons or screenshots of tools

11. Thank you