Ideally, consistent throughput indicates an expected capacity of network bandwidth. ![]() This bottleneck can be rectified by adding extra channels i.e. Increase in response time with flat throughput graph shows a network bandwidth issue.If throughput is nearly equal to bandwidth, it means the full capacity of the network is being utilized which may lead network bandwidth issue.Solving bandwidth is easier than solving latency.For more information on response time refer to the link. In the Latency example, Response time will be 4 seconds. Response time is the amount of time from the moment that a user sends a request until the time that the application indicates that the request has completed and reaches back to the user. Remember: Data Throughput can never be more than Network Bandwidth. Let’s say, 20bits data transferred at t=4 th second, so throughput at t=4 is 20bps. It is typically measured in bits per second (bps), as in megabits per second (Mbps) or gigabits per second (Gbps). In performance testing term ‘ The amount of data moved successfully from one place to another in a given time period is called Data Throughput‘. The water is flowing from the pipe can be represented as ‘Throughput’. Let’s say an ISDN having 64Kbps of bandwidth and we can increase it by adding one more 64Kbps channel, so total bandwidth will be 128Kbps, so maximum 128Kbps data can be transferred through ISDN channel. In performance testing term the maximum amount of data that can be transferred per unit of time through a communication channel is called channel’s bandwidth. It indicates the maximum water passes through the pipe. Bandwidth:īandwidth shows the capacity of the pipe (communication channel). ![]() So, the network latency will be 2.2 seconds (= 1 + 1.2).
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