Latency: Definition, Explanation & Examples

What is latency?

Latency refers to the delay that occurs between the request for data transmission and the receipt of the data. In IT, and especially in the field of network technologies, latency is a crucial factor that can significantly influence the efficiency of communication and the overall success of applications.

Why is latency important?

Low latency is particularly important in areas where fast reactions are required, e.g. in online gaming, video streaming or real-time applications. High latency can lead to delays that can frustrate the user and affect the performance of applications.

Types of latency

• Network latency: Delays that occur in a network due to the transmission of data packets between routers and servers.
• Processing latency: The time it takes a server to process a request.
• Memory latency: Delays in accessing data from the memory.
• Mission-critical latency: Critical delays in very time-sensitive applications, e.g. financial transactions.

Measuring latency

Latency is usually measured in milliseconds (ms). A common method for measuring latency is the ping test, in which a specific data packet is sent to a server to determine the return time. The lower the ping value, the better the network connection.

Causes of high latency

• Physical distance: The actual geographical distance between sender and receiver can have a significant impact on latency.
• Network utilisation: High data traffic loads can lead to congestion and delays.
• Hardware problems: Old or overloaded hardware can increase processing time.
• Routing complexity: Complex network topologies can increase latency as data packets have to pass through multiple nodes.

How can latency be reduced?

Reducing latency is essential to improving the user experience. Here are some methods:

• Using Content Delivery Networks (CDN): these networks store copies of your content in different locations, reducing the distance between the server and the user.
• Optimise network infrastructure: Invest in high-quality network technologies and components.
• Data compression: Compress data to reduce transmission size and increase transmission speed.
• Load balancing: Distribute data traffic evenly across several servers.

Illustrative example on the topic: Latency

Imagine you are playing an online game and trying to climb up the leaderboard. Every millisecond counts, as quick decisions make the difference between victory and defeat. One day, however, you are connected to a server in Australia with your internet connection while you are in Germany. You feel the lag when you try to move your character - every click of the mouse seems to take an eternity. This high latency frustrates not only you, but also your opponents, who can move faster and perform many actions without delay.

Conclusion

In an increasingly connected world, latency is a crucial factor. It affects not only the user experience, but also the performance of critical applications and systems. It is therefore important to understand and continuously optimise latency. Other interesting topics that are closely related to latency are bandwidth and throughput. You should also be aware of how your IT infrastructure is designed to achieve the best results.