Network traffic management and control: Manage and control network traffic in a computer network.

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Network traffic management and control: Manage and control network traffic in a computer network.

How Vital is Network Traffic Management?

Do you know that a mismanaged network can lead to a severe decrease in productivity or even a complete business shutdown? Just like cars on a highway, data packets on a network need to be efficiently managed and controlled. This is where network traffic management comes into play!

Unveiling the Concept of Network Traffic and Performance

In the world of computer networks, network traffic refers to the amount of data moving across a network at a given point in time. This could range from data transferring between devices, to data coming in and out of a network. Network performance, on the other hand, is the analysis of the service quality of a network. High network traffic can often lead to congestion, and therefore, a decrease in network performance.

Consider a real-life scenario where thousands of users are trying to access a popular website at the same time. If the website cannot handle this amount of traffic, it will result in a slower loading speed or even a crash. This is a clear example of how network traffic directly impacts network performance.

Harnessing Traffic Control Mechanisms

Controlling network traffic is crucial in maintaining a high-performance network. This can be achieved using traffic control mechanisms such as Quality of Service (QoS) and bandwidth management.

Quality of Service (QoS) is a technique to manage network resources by prioritizing specific types of data packets over others. For instance, VOIP (Voice Over Internet Protocol) traffic might be prioritized over email traffic, as VOIP requires real-time transmission for clear and uninterrupted communication.

On the other hand, bandwidth management revolves around controlling the speed or the amount of data that can be sent over a network. It's like designating a speed limit to the cars on a highway to prevent accidents and congestion.

# In a Cisco Router, to configure QoS, the following commands are used:


Router(config)# class-map VOIP

Router(config-cmap)# match access-group 101

Router(config-cmap)# exit

Router(config)# policy-map QOS_POLICY

Router(config-pmap)# class VOIP

Router(config-pmap-c)# bandwidth remaining percent 50


Monitoring and Troubleshooting Network Traffic

Once traffic control measures are implemented, it's essential to regularly monitor network traffic. This allows network administrators to identify patterns, anticipate potential problems, and promptly troubleshoot issues.

Consider a situation where a company's network suddenly becomes slow. By using network monitoring tools, an administrator discovers a specific device that's consuming a high amount of bandwidth. It turns out to be a malware-infected computer that was part of a botnet for a DDoS attack. In this case, monitoring network traffic helped identify and resolve the issue quickly.

From the examples above, we see that managing and controlling network traffic is more than just a technical task. It is a blend of strategic planning, constant vigilance, and prompt action. So, next time you enjoy a buffer-free video call or smoothly download a large file, remember the significant role of network traffic management and control behind the scenes.


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1- Introduction 2- Models of data communication and computer networks: Analyse the models used in data communication and computer networks. 3- Hierarchical computer networks: Analyse the different layers in hierarchical computer networks. 4- IP addressing in computer networks: Set up IP addressing in a computer network. 5- Static and dynamic routing: Set up static and dynamic routing in a computer network. 6- Network traffic management and control: Manage and control network traffic in a computer network. 7- Network troubleshooting: Diagnose and fix network problems. 8- Introduction 9- Concepts and sources of big data. 10- Recommendation systems, sentiment analysis, and computational advertising. 11- Big data types: streaming data, unstructured data, large textual data. 12- Techniques in data analytics. 13- Problems associated with large data sets used in applied analytical models. 14- Approaches to visualize the output from an enforced analytical model. 15- Big data processing platforms and tools. 16- Performing simple data processing tasks on a big data set using tools 17- Introduction 18- Relational Database Management Systems: Analyze the concepts and architecture of a relational database management system. 19- Entity Relationship Model: Analyze the components of an entity relationship model. 20- Relational Model: Analyze relation, record, field, and keys in a relational model. 21- ER to Relational Model Conversion: Perform a conversion from an ER model to the relational model. 22- Functional Dependency: Analyze the concepts of closure sets, closure operation, trivial, non-trivial, and semi-trivial functional dependencies. 23- Normal Forms: Analyze the concepts of lossless, attribute-preserving, and functional-dependency-preserving decomposition, and first normal form. 24- Installation of Programming Languages and Databases: Install MySQL and phpMyAdmin and install Java and Python programming languages. 25- CRUD Operations: Perform create, read, update, delete (CRUD) operations in MySQL. 26- MySQL Operations: Perform MySQL operations using CONCAT, SUBSTRING, REPLACE, REVERSE, CHAR LENGTH, UPPER, and LOWER commands. 27- Aggregate Functions: Perform MySQL operations using count, group by, min, max, sum, and average functions. 28- Conditional Statements and Operators: Perform MySQL operations using not equal, not like, greater than, less than, logical AND, logical OR. 29- Join Operations: Perform MySQL operation. 30- Introduction 31- Historical development of databases: Analyze the evolution of technological infrastructures in relation to the development of databases. 32- Impact of the internet, the world-wide web, cloud computing, and e-commerce: Analyze the impact of these technologies on modern organizations. 33- Strategic management information system (MIS): Analyze the characteristics and impact of a strategic MIS. 34- Information systems for value-added change: Analyze how information systems can support value-added change in organizations. 35- Functionality of information communication technology: Analyze the functionality offered by information communication technology and its implications. 36- International, ethical, and social problems of managing information systems: Define the international, ethical, and social problems associated. 37- Security and legislative issues in building management information systems: Define the security and legislative issues related to building MIS. 38- Security and legislative issues in implementing management information systems: Define the security and legislative issues related to implementing MIS. 39- Security and legislative issues in maintenance. 40- Introduction 41- Ethical concepts in computing: Analyse common ethical concepts and theories in computing. 42- Laws and social issues in information technology: Analyse laws and social issues in areas including privacy, encryption, and freedom of speech. 43- Intellectual property and computer crime: Analyse the laws relating to trade secrets, patents, copyright, fair use and restrictions, peer-to-peer. 44- Data privacy: Define data privacy and analyse the types of data included in data privacy. 45- Ethical theories and the U.S. legal system: Analyse philosophical perspectives such as utilitarianism versus deontological ethics and the basics. 46- Ethical dilemmas in information technology: Apply ethical concepts and an analytical process to common dilemmas found in the information technology. 47- Impacts of intellectual property theft and computer crime: Analyse the impacts of intellectual property theft and computer crime. 48- Ethics in artificial intelligence (AI): Analyse the ethics in AI, including autonomous vehicles and autonomous weapon systems. 49- Ethics in robotics: Analyse the ethics in robotics, including robots in healthcare. 50- Introduction 51- Technologies involved in building a secure e-commerce site. 52- Common problems faced by e-commerce sites. 53- Requirements analysis and specification for an e-commerce project. 54- Writing a project proposal and creating a presentation. 55- Front-end development tools, frameworks, and languages. 56- Back-end development languages, frameworks, and databases. 57- Application of software development methodologies. 58- Creating a project report and user documentation. 59- Delivering structured presentations on the software solution.
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