Reducing Network Computing by Adopting Intelligent Approach

Large amount of calculations over a server typically needs maximum resources that a server can support, this becomes mandatory when organization needs efficient processing to avoid bottleneck to the server and network resources. The payroll processing is one of the best examples which needs large amount of calculations to prepare salaries of the employees. Payroll processing time is typically at the end of the payroll period, this payroll period can be monthly, semi-monthly and weekly or it may be defined according to organization’s needs. A normal payroll process includes systematically as Payroll Run, Pre Payments, Payments (check writer, Magnetic tape, Cash, External/Manual Payments) costing and transfer to GL. There is a defined sequence of processing when it comes to Payroll Run; therefore if any correction or rollback is required than the rollback process will be in reverse order. As the organizations are growing in size, resulting in increase in assignments, the payroll processing is becoming difficult as it demands high resources and a server with best configuration. In this respect this research is conducted to reduce the server load by processing the overtime of the employees on a separate sever which will be responsible for maintaining the attendance and total working hours of individual employees. This database is integrated with the ERP server by defining data link between the two databases.