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Definition of Quality of service

What is QoS in networking?

The definition of quality of service (QoS) in networking refers to the ability of a network to deliver data packets with predictable and consistent performance, regardless of network congestion or other factors.

It ensures that critical applications, such as voice and video calls, receive the resources they need to function properly, even when network resources are limited.

How QoS technologies work

Quality of service in networking technologies works by classifying, prioritizing, and managing network traffic to meet the specific needs of different applications. Here are the key components:

  • Traffic classification — Network traffic is classified into different categories based on parameters like application type, source and destination IP addresses, or port numbers. This classification helps in applying appropriate policies to different types of traffic.
  • Traffic policing — Controlling the rate at which traffic enters the network, preventing congestion and ensuring that critical traffic receives adequate bandwidth.
  • Traffic shaping — Also known as packet shaping, it smooths out bursty traffic by buffering and sending data at a steady rate, ensuring compliance with pre-defined bandwidth limits. It helps manage bandwidth more effectively and reduces congestion.
  • Prioritization — This involves assigning different levels of priority to different types of traffic. High-priority traffic is given preferential treatment, ensuring that it is processed before lower-priority traffic.
  • Resource reservation — Guaranteeing specific bandwidth or resource allocations for certain types of traffic, ensuring they receive the necessary resources to meet their performance requirements.
  • Congestion management — During periods of network congestion, QoS mechanisms manage traffic drop or delay. Strategies like Random Early Detection (RED) or Weighted Random Early Detection (WRED) help minimize packet loss and ensure fair access to network resources.

What techniques and best practices are involved in QoS?

Several techniques can help businesses ensure the high performance of their most critical applications:

  1. Prioritization of delay-sensitive traffic
    In congested networks, routers and switches may drop packets when they arrive faster than they can be processed, which negatively impacts delay-sensitive applications like VoIP, video conferencing, and real-time gaming. By prioritizing traffic, you can classify and assign different priorities to packets based on their type and destination. This ensures that high-priority traffic, such as voice, video, or interactive applications, is processed and transmitted ahead of less critical data during periods of high congestion, maintaining performance and minimizing delays.
  2. Resource reservation
    The Resource Reservation Protocol (RSVP) is designed to reserve network resources and deliver specific levels of QoS for application data streams. By reserving resources, businesses can allocate bandwidth effectively, set limits, and ensure that critical applications receive the necessary bandwidth. However, while RSVP was initially developed for this purpose, it is not as widely used in modern networks as other QoS mechanisms, such as DiffServ (Differentiated Services) or MPLS (Multiprotocol Label Switching), which provide more scalable and flexible traffic management.
  3. Queuing
    It involves creating policies that give preferential treatment to certain data streams. Routers and switches use high-performance memory buffers to hold packets in dedicated memory areas. Higher-priority packets are placed in dedicated queues and processed faster, reducing the likelihood of packet loss. For instance, voice traffic can be given priority over other types of network traffic, ensuring timely delivery.
  4. Traffic marking
    To prioritize network traffic, marking is essential. This can be achieved through Class of Service (CoS), which tags data streams in the Layer 2 frame header, or Differentiated Services Code Point (DSCP), which tags data streams in the Layer 3 packet header. Marking helps ensure that high-priority applications receive the necessary bandwidth and performance.

To optimize QoS and network performance, consider these best practices:

  • Ensure that maximum bandwidth limits and security policies at the source interface are not set too low to prevent excessive packet loss and ensure adequate performance.
  • Pay attention to how packets are distributed between available queues and which queues are used by different services. This affects latency, queue distribution, and packet handling.
  • Apply QoS policies to all network traffic, ensuring that each type of traffic is assigned appropriate priority levels and bandwidth allocation. This approach prevents overloading a single queue with all traffic during high-volume periods.
  • Configure prioritization based on either type-of-service or security policy, not both. This approach simplifies analysis and troubleshooting.
  • Keep QoS configurations as simple as possible to maintain high performance and ease of management.

When testing QoS, using the User Datagram Protocol (UDP) is preferable because it provides a more accurate reflection of how network policies, such as traffic prioritization and shaping, affect real-time applications. Unlike TCP, which automatically adjusts to network congestion by reducing the data transmission rate, UDP does not have flow control or error correction mechanisms. This means UDP continuously sends data at a fixed rate, allowing you to observe how the network handles traffic without the interference of TCP's congestion control.

Key Takeaways

  • Quality of service (QoS) ensures that network traffic is delivered with predictable performance, prioritizing critical applications like voice and video calls even in congested conditions.
  • QoS technologies involve classifying traffic, shaping and prioritizing it, reserving resources, and managing congestion to ensure that important data gets the necessary bandwidth and performance.
  • Techniques such as prioritizing delay-sensitive traffic, reserving resources, and queuing are crucial for maintaining high performance for critical applications, especially during network congestion.
  • Best practices include avoiding low bandwidth limits, optimizing queue distribution, using policies for all network traffic, and simplifying QoS configurations to ensure effective performance and ease of management.

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