How to Analysis Consistency and Performance Data of Internet service providers

How to Analysis Consistency and Performance Data of Internet service providers

Service quality is an important thing to maintain the service for the customer. Not just for marketing purposes, but also for the relationship between an internet service provider and customers. As a rule, a number of different measuring methods are used. However, the different methods can be frustrating and confusing for consumers and internet service provider.

Consumer initiated tests are intentionally started by one person. Internet measurements are most relevant to the times and places that are most relevant to the person conducting the test. Each time a test is started, a snapshot of the Internet service provider is recorded at that location and time. In summary, these individual experiences represent the typical Internet performance of a provider or carrier for a particular location. Consumer-initiated testing can be performed on any device, including desktop computers, laptops, smartphones, and tablets. Our dedicated test, spanning more than a decade, measures more than just security, loss, jitter, errors and other internet services conditions.

Consumer-initiated testing offers people the flexibility to initiate a test anytime, anywhere, be it at home, in malls, at workplaces, in parks, at airports, as passengers in cars, on trains or in buses. When a critical mass of tests is performed, a comprehensive overview of the Internet service provider performance, including information about locations, times, internet service provider, and devices, is obtained.

For customer-initiated testing to be performed, the available server network must be large and geographically dispersed. The network between the test server and the person is for the power measurement much more. Internet Service provider, technology types and devices. Critics of consumer-initiated testing argue that the trials are not randomized. Without randomizing laboratory-quality test results, critics believe that the resulting data is distorted to reflect isolated conditions and times.

Measurement methods

These are some common methods to test:

DRIVE ANALYSIS

In the early days of mobile phones, the call quality and signal power for car phone users were measured first. The drive tests were later adjusted to measure the performance of the mobile network. Many mobile service providers still use today to measure the strength of their mobile networks.

Supporters of determination testing often state that the process simulates accurate laboratory test conditions and is therefore a good way to determine the theoretical capacity and limitations of a particular mobile network. These conditions make drive test data particularly interesting for companies who want to map their network and understand regional investment opportunities.

A primary limitation for testing drives is still in progress. This means that data is collected only in areas where cars can drive. Although driving only covers areas with roads, it still requires a lot of time and resources to be fully tested in the areas. It will not be retested on a regular basis.

In addition, drive tests cannot be performed. Test vehicles drive through an area at a certain time, not at all times of the day. This means that the drive is extrapolated to a small period of time. This means that the drive is under pressure. Hardware testing does not represent the enormous variety of devices that actual consumers use.

There are also concerns about the game of test results when it comes to drive testing. During the drive test, the devices are used for the drive test. The existing knowledge about these factors can provide opportunities for manipulating network conditions.

CIRCUMSTANTIAL ASSESSMENT

Once installed on a device background test applications. The tests run at all times. One of the main arguments for the testing is to initiate the test. Highly distributed data points are indeed useful for creating coverage maps. At a minimum, background data generates certain amounts of data because the tests run continuously. There are also preferred, long-term trend information about the performance and other measurements, such. As the signal strength deliver.

In practice, background testing is typically used by apps or providers who do not have a specific user base to rely solely on customer-initiated test results for their analysis. Background testing allows these apps and providers to collect more data from a smaller user base. The random timing of tests is therefore irrelevant.

IMPASSIVE ANALYSIS

Impassive tests monitor the network usage of other applications on the mobile device. It can therefore measure the network utilization of the device as a whole. Such testing methods focus only on the throughput that is provided for a particular service or application, which may be attractive to app and device manufacturers. The large advantage of the passive tests, the performance of the apps and services to define, the person in its device used. Because passive tests are essentially background-driven and not a dedicated, stand-alone test, the collected through background tests. This sample size is further limited because passive tests are based on small, preselected consumer panels.

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