Resource requirements estimating of mobile supported websites

The number of page views can be millions per day on large mobile websites, thus the amount of stored user-data (the amount of analytics data generated by a user visit event) can be millions per day as well. Poor system design, even related to gathering user behavior statistics, can lead to system crash, for example when the data-processing cost of operations is growing exponentially but the hardware performance under the application is around constant. Increasing the performance of the hardware exponentially is not possible in the practice, therefore only optimal data processing can lead to efficient system operation. Mobile web analytics is a process through which statistics about website usage and mobile user behaviors are gathered. Such an analytics program can be used as a tool to get information about mobile users, who they are, where they are coming from, how often they are visiting a website and how much time do they spend on a website. This information is very important from the perspective of business analysis as they helps to make appropriate decisions about a website. In this paper mobile supported websites are considered and it is shown how to calculate the number of user-data records generated in the database per day and total from system startup in general with the aim of estimating the resource requirements of a measurement/analyzing application to mobile supported sites. In addition, measurements are presented based on a user-data database of a large mobile supported website to illustrate the behavior of the proposed models.