Skip to main content

Computer Networks (3150710) - Information Technology

 Computer Networks (3150710) - Information Technology

  1. Explain Route Summarization or Route Aggregation in network layer.
  2. State the port number for the following application layer protocols.i) FTP ii) HTTP iii) SMTP iv) POP3
  3. Justify the statement, “HTTP server is stateless”.
  4. Besides bandwidth and latency, what other parameter(s) is/are needed to give a good characterization of the quality of service offered by network used for (i) Online financial transaction traffic? (ii) Video streaming traffic?
  5. Which of the OSI layers handles each of the following:i) Dividing the message into segments.ii) Determining which route through the subnet to use.iii) Dividing the transmitted bit stream into frames.
  6. For the below mentioned internet applications protocol, mention the underlying transport protocol (TCP or UDP). i) Telnet ii) FTP iii) HTTP
  7. Explain User Datagram Protocol (UDP) in detail and discuss how it differs from Transmission Control Protocol (TCP).
  8. Discuss the five layer internet protocol stack along with the functionalities of each layer in detail.
  9. Discuss the circuit switching versus packet switching approaches for moving data through a network of links and switches.
  10. What is the significance of the following flags in TCP segment? i) URG ii) SYN iii) FIN iv) PSH
  11. Define the term unicasting, multicasting, and broadcasting.
  12. Explain the class-full sub-netting with example.
  13. Discuss the count-to-infinity problem in distance vector routing algorithm with example.
  14. Difference between bit rate and baud rate.
  15. Differentiate between TCP vs. UDP
  16. Differentiate between Circuit Switching vs. Packet Switching
  17. Explain the UDP checksum mechanism for error detection with example.
  18. Demonstrate the various error detection techniques at data link layer with example.
  19. What are the three most important network-layer functions in a virtual-circuit network?
  20. Discuss the working of slotted aloha along with its efficiency in terms of channel utilization.
  21. Data link protocols almost always put CRC in a trailer rather than in a header. Why?
  22. Explain p-persistent CSMA protocol in detail.
  23. Explain the following static channel allocations mechanisms: i) TDMA ii) FDMA
  24. Explain functionality of Repeater, Hub, Bridge, Switch, Router and Gateway.
  25. Write short note on Domain Name System (DNS).
  26. Explain various delay which are occur in data packet transmission.
  27. What is topology? Explain star topology in brief.
  28. What is HTTP? Differentiate its persistent and non-persistent types with request-response behavior of HTTP.
  29. Explain Physical Address, IP address, Port Address in brief.
  30. Explain Distance Vector Routing Algorithm.
  31. Explain DHCP and Email in detail.
  32. Compare IPv4 and IPv6.
  33. Give difference between connection oriented and connectionless services.
  34. Differentiate its persistent and non-persistent types with request-response behavior of HTTP.
  35. Give differences between TCP and UDP.
  36. Discuss the principles of Reliable Data Transfer.
  37. What do you mean by congestion and overflow? Explain the slow-start component of the TCP congestion-control algorithm.
  38. Explain packet fragmentation with example.
  39. Write a short note on broadcast and multicast routing.
  40. What is IP address? Explain sub netting with example.
  41. What is socket? Explain its importance at transport layer protocols.
  42. Discuss transport layer multiplexing and demultiplexing concepts.
  43. Discuss CSMA/CD Protocol.
  44. Explain CRC code generation with example.
  45. Explain the hierarchical DNS system
  46. What do you mean by stream and datagram sockets?
  47. How the Jitter is different from the delay in streaming applications?
  48. Explain leaky bucket algorithm for the network traffic shaping.
  49. Explain flow and error control in TCP.
  50. Discriminate fully qualified domain name from partially qualified domain name.
  51. What do you mean by random access protocols? Explain slotted ALOHA in brief.

Popular Posts

what are local variables and global variables in python.

Understanding Local and Global Variables in Python: A Data Compression Perspective What are Local Variables? Local variables are declared inside a function. Their scope is limited to that function. They are created when the function is called and destroyed when the function exits. This localized nature can be relevant in optimizing data structures within a function, aiding compression strategies. Improper use can lead to unnecessary data duplication if not handled carefully in recursive functions or complex data structures. What are Global Variables? Global variables are declared outside any function. Their scope extends throughout the entire program. They are accessible from any function within the program. Overuse can negatively impact data compression efforts by increasing memory usage unnecessarily, especially in large applications. Careful management is crucial for maintaining modularity and data integrity in complex systems, a key factor in efficient compressi...
Read more

Explain intrinsic and extrinsic parameters related to camera models. Also state usefulness for these kinds of parameters in the field of computer vision.

Understanding Camera Models: Intrinsic and Extrinsic Parameters in Computer Vision Intrinsic Parameters Describe the internal characteristics of the camera. Define the mapping from 3D points in the camera's coordinate system to 2D points on the image plane. Include focal length (distance between lens and sensor). Include principal point (center of the image sensor). Include pixel size and skew coefficient (for non-ideal cameras). Essential for image rectification and undistortion. Crucial for accurate 3D reconstruction from images. Extrinsic Parameters Define the camera's location and orientation in the world coordinate system. Described by a rotation matrix (R) and a translation vector (t). Rotation matrix (R) specifies the camera's orientation. Translation vector (t) specifies the camera's position. Used to relate the camera coordinate system to the world coordinate system. Essential for 3D scene understanding and object pose estimation. Fundament...
Read more

What are key featuers of python?.

Python for Data Compression: Key Features Readability and Simplicity Clear syntax, making code easy to write and understand. Reduced development time compared to other languages. Extensive Libraries `zlib`, `gzip`, `bz2`, for common compression algorithms. `lzma` for advanced LZMA compression. `zipfile` for managing compressed archives. Cross-Platform Compatibility Runs smoothly on various operating systems (Windows, macOS, Linux). Facilitates easy deployment of data compression solutions. Community Support and Resources Abundant online tutorials, documentation, and community forums. Easier troubleshooting and faster problem-solving. Integration with other tools Seamlessly integrates with other data science tools (NumPy, Pandas). Simplifies data preprocessing and post-processing steps.
Read more

What is Agile Design?

Agile Design: Fusing Speed, Flexibility, and User Experience What is Agile Design? A human-centered approach to design. Iterative process focusing on continuous improvement. Emphasizes collaboration between designers, developers, and stakeholders. Prioritizes user feedback throughout the design process. Adaptable to changing requirements and market needs. Agile Design in UI/UX Short, iterative design sprints. Frequent user testing and feedback integration. Prioritization of Minimum Viable Products (MVPs). Prototyping and wireframing for quick iteration. Continuous improvement based on data and user insights. Agile Design in Software Development Close collaboration between design and development teams. Frequent releases of functional increments. Use of Agile methodologies (Scrum, Kanban). Emphasis on working software over comprehensive documentation. Flexibility to adapt to evolving project needs. Benefits of Agile Design Faster time to market. Reduced d...
Read more

Explain dictionary in python with the help of example.

Python Dictionaries: A Data Compression Perspective What is a Python Dictionary? A dictionary is a fundamental data structure in Python. It stores data in key-value pairs. Keys must be immutable (e.g., strings, numbers, tuples). Values can be of any data type. Dictionaries are unordered (before Python 3.7) and mutable. Dictionaries and Data Compression Dictionaries facilitate efficient data representation. They can be used to build symbol tables for encoding/decoding in compression algorithms. Representing frequent data with shorter keys saves space. Key-value pairs can map original data to compressed representations. Example: Huffman Coding with Dictionaries Create a dictionary mapping characters to their Huffman codes. { 'A': '00', 'B': '01', 'C': '10', 'D': '11'} Use this dictionary to encode a string. Decode using the same dictionary, reversing the mapping. Example: Run-Length Encoding (RL...
Read more