Our customer support team is here to answer your questions. Ask us anything!
👋 WhatsApp Us Now
When it comes to computer networking, there is no single measure of network quality. Instead, there are several known and de facto Qualities of Service (QoS) metrics.
Select two of the network QoS metrics, define them, explain how they are measured, and propose how they could be improved.+300 words
Two QoS metrics that are commonly used in computer networking are latency and throughput.
Latency is the measure of time it takes for a data packet to travel from its source to its destination, typically measured in milliseconds (ms). It is an important metric as it indicates how quickly users can access data over the network. Latency can be improved by implementing technologies like Quality of Service (QoS) mechanisms such as prioritization algorithms that allow for more efficient flow of traffic across the network and reduce delays when sending large amounts of data. Additionally, deploying redundant links between nodes on the network helps to ensure that even if one link fails, there will still be another connection available to keep service running smoothly. Lastly, upgrading infrastructure components like switches or routers with higher-performance hardware can also help reduce latency times.
Throughput is a measure of network performance and is typically expressed in bits per second (bps). It indicates how much data was successfully transmitted between two points within a given period of time. To improve throughput, consider increasing bandwidth usage by adding new connections or upgrading existing ones with faster links; using advanced protocols such as MPLS instead of traditional IP routing which offers greater flexibility and better performance; or deploying caching servers at various locations on the network which store frequently requested content closer to end users so they don’t have to wait for it to come all the way from its original source every time they need it. Additionally, improving server-side applications and optimizing code can significantly enhance application response times which in turn helps improve overall throughput levels.