Computer Networks Performance Modeling Training
Learn Computer Networks Performance Modeling Training to Unleash a Modern Career
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About Course
Computer Networks Performance Modeling Training at SM consultant will make you an expert to study the performance of network protocols and to analyze interdependencies and capacity bounds for different performance metrics. This is an introductory course on performance modeling of communication networks, where we shall focus on four such modeling tools, heavily used in the performance modeling of communication networks, and their specific application case studies. The four modeling tools in consideration are - network calculus, queuing network and Markov process, queuing Petri nets and game theory. This course will start with the basics of network modeling, use of modeling toolboxes and the introduction to different network performance metrics along with their mathematical as well as physical notions. The rest of the course is divided into four modules, arranged from the basics to the advanced modeling techniques. We shall first move to the fundamental mathematics behind network calculus and its applications over data flow analysis. The course will be continued with the discussion of mathematical preliminaries of stochastic modeling, queuing networks and Markov process and their case studies for resource allocation, flow control, and scheduling. The next module of the course will introduce the basic Petri nets and its extension for stochastic and queuing Petri nets, with specific case studies on wireless networks and data center networks. Finally, the last module will cover the aspects of network game theory and its applications in protocol design and analysis.
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Self Paced Online Learning
The Self Paced format allows you to stream the course content from anywhere across the globe with a good Internet connection. There is no defined schedule, you can watch them at your comfortable time. Get Started.
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Instructor Led Live Training
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Computer Networks Performance Modeling Training Course Content
1.Introduction to Network Modeling
- Computer network as a discrete event system
- Modeling and measurement tools
- Network performance metrics – first order and second order metrics
- Network capacity
- Difference between throughput and capacity
2.Network Calculus
- Models for data flows
- Arrival curves and service curves
- Greedy shapers
- Basic min-plus and max-plus calculus
- Min-plus and max-plus systems
- Optimal smoothing
- FIFO systems and aggregate scheduling
- Time varying shapers
- Systems with losses
- Case studies (1) analyzing spanning tree based data forwarding using network calculus (2) bound on loss rate
3.Stochastic Scheduling and Resource Allocation
- Dynamic resource allocation
- Dynamic programming models for stochastic scheduling
- Queuing networks – open loop and closed loop networks
- Jackson networks
- Network fairness – proportional and max-min fairness
- Markov process and its application for analyzing network resource allocation and fairness
- Available bandwidth estimation
- Case studies
- (1) TCP/IP flow and congestion control
- (2) Modeling dynamic routing and scheduling as a queuing network problem
- (3) Analysis of IEEE 802.11 channel access using two dimensional markov process.
4.Protocol Analysis
- Modeling discrete event system using Petri -nets
- Basics of Petri nets
- Stochastic Petri nets
- Queuing Petri nets
- Properties of Petri nets
- Structural analysis of Petri nets
- Petri net modeling tools – simqpn
- Case studies – (1) Wireless channel model using stochastic Petri net
- (2) Data center network throughput analysis using queuing Petri nets
5.Network Games
- Introduction to game theory
- Zero sum games
- Nash equilibrium
- Pareto optimality
- Cooperative and non-cooperative games
- General network games – resource sharing games
- Routing games
- Congestion games
- Mechanism design
- Case studies – (1) selfish routing in networks and price of anarchy
- (2) oblivious routing
- (3) network resource allocation games
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We will customize the Computer Networks Performance Modeling Training course content according to your job requirements.
Certification
Once you are successfully through the project, you will be awarded an SM Consultant’s Computer Networks Performance Modeling Training Completion Certificate for the course.
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Frequently Asked Questions About Computer Networks Performance Modeling Training
1. When will I receive my joining instructions for Computer Networks Performance Modeling Training?
Joining instructions for Computer Networks Performance Modeling Training is sent two days prior to the course start date, or immediately if the booking is confirmed within this timeframe.
2. How are you better than the other classes? Past achievements?
As they say, “History speaks for itself”, the past achievements would give you a good picture of our reputation, and would also tell you what extra efforts we put in to achieve it.
3. Do you offer a Computer Networks Performance Modeling Training Demo or Trial class before joining?
We offer 1 demo classes to students. Just make sure that you select the subject and time of the class so that you get an independent assessment of the quality of teaching and you can take an informed decision.
4. What’s the batch size? Will I get personal attention?
An average batch size could be min. 4-5 and max. 8-10 but irrespective of the batch size you will get personal attention and our trainers will help you understand the technology.
5. What if I am not able to attend or miss a session?
If you are unable to attend your session we will help you understand the session by sharing the recording of the live session and still if you need more assistance, we will arrange a backup session for you.
6. Can I access the Computer Networks Performance Modeling Training course material after training?
Yes, you will get the material in pdf format and will have access to the Computer Networks Performance Modeling Training recordings.
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