Multicore efficient scheduling for operating system to avoid congestion in Client-Server architecture

In modern day and age, multicore processors along with parallel programming plays a significant role in enhancing the performance of the applications. The performance of processor solely depends upon how efficient the parallel programming has been implemented in the system. In this paper parallel programming application is developed for those environments which rely on multi-user, multi-tasking and multicore features to avoid congestion. A framework for Client-Server system is proposed to coordinate the partitioned scheduling of tasks on a multicore platform of a server to share the resources among users with improved operating efficiency and lesser overheads. For testing the performance of the proposed framework with the default, a real world example of banking system, having single server and multiple users, is considered. The results obtained with partitioned scheduling is compared with the default and result shows proposed scheduling gained the 2x speedup over default scheduling.