CAD for Computer Communication Networks
CMPE Degree: This course is Not Applicable for the CMPE degree.
EE Degree: This course is Not Applicable for the EE degree.
Lab Hours: 0 supervised lab hours and 3 unsupervised lab hours.
Technical Interest Group(s) / Course Type(s): Computer Systems and Software
Course Coordinator: Douglas M Blough
Prerequisites: ECE 2036 and ECE 3600
Catalog DescriptionModels and algorithms for simulation-based design and evaluation of computer networks and network protocols.
Student OutcomesIn the parentheses for each Student Outcome:
"P" for primary indicates the outcome is a major focus of the entire course.
“M” for moderate indicates the outcome is the focus of at least one component of the course, but not majority of course material.
“LN” for “little to none” indicates that the course does not contribute significantly to this outcome.
1. ( Not Applicable ) An ability to identify, formulate, and solve complex engineering problems by applying principles of engineering, science, and mathematics
2. ( Not Applicable ) An ability to apply engineering design to produce solutions that meet specified needs with consideration of public health, safety, and welfare, as well as global, cultural, social, environmental, and economic factors
3. ( Not Applicable ) An ability to communicate effectively with a range of audiences
4. ( Not Applicable ) An ability to recognize ethical and professional responsibilities in engineering situations and make informed judgments, which must consider the impact of engineering solutions in global, economic, environmental, and societal contexts
5. ( Not Applicable ) An ability to function effectively on a team whose members together provide leadership, create a collaborative and inclusive environment, establish goals, plan tasks, and meet objectives
6. ( Not Applicable ) An ability to develop and conduct appropriate experimentation, analyze and interpret data, and use engineering judgment to draw conclusions
7. ( Not Applicable ) An ability to acquire and apply new knowledge as needed, using appropriate learning strategies.
Strategic Performance Indicators (SPIs)
Outcome 1 (Students will demonstrate expertise in a subfield of study chosen from the fields of electrical engineering or computer engineering):
1. Explain how discrete-event simulation methods can be used to simulate computer networks.
2. Describe models for simulating various network protocols, e.g. TCP, BGP, CSMA/CA.
Outcome 2 (Students will demonstrate the ability to identify and formulate advanced problems and apply knowledge of mathematics and science to solve those problems):
1. Analyze how the number of simulation events scales with the number of nodes for different network topologies and traffic patterns.
Outcome 3 (Students will demonstrate the ability to utilize current knowledge, technology, or techniques within their chosen subfield):
1. Simulate a variety of network topologies and protocols using a modern network simulation tool such as ns-3.
1. Network Simulation Basics
a. Creating topologies
b. Defining data flows
c. Defining queuing disciplines
d. Trace file analysis methods
e. Using network animation
2. Introduction to Simulation
a. Discrete Event Simulation (DES)
b. Simulating Networks with DES
c. Modeling Network Elements
d. Levels of abstraction
3. Overview of Network Simulation Tools
4. Measuring Network Performance via Simulation
a. Performance Metrics
b. Goodput, Throughput, Loss, Delay, Jitter, etc.
c. Factors Affecting Performance
d. Predicting Effect of Changes
5. The Transmission Control Protocol (TCP)
a. Modeling TCP
b. Existing TCP Variations
c. Factors Affecting TCP Performance
d. New TCP variations
e. Congestion Avoidance in TCP
f. Using TCP over satellite links
g. Using simulation to measure TCP performance
a. Multicast group management
b. Source based trees vs. Core based trees
c. Modeling multicast in network simulations
d. Measuring multicast routing protocol overhead
7. Simulating Routing Protocols
a. Routing in Network Simulators
b. Modeling EIGRP and BGP
8. Active Queue Management (AQM) and Queuing Disciplines
a. DropTail, RED, Priority, WFQ, SCFQ, others
b. Implementation of active queues in network simulators
c. Measuring the affect of AQM
9. Wireless Network Simulation
a. Wireless channel models
b. Interference modeling
c. SNR/SINR -> transmission rate
d. CSMA/CA and 802.11
10. Streaming Video/Audio Models
a. Creating an MPEG video model
b. Measuring MPEG performance
c. Performance tradeoffs in streaming applications
11. Modeling Web Browsing
a. Using request/response distribution models
b. Using page distribution models
c. Measuring HTTP Performance