CPU scheduling algorithms have a significant function in multiprogramming operating
systems. When the CPU scheduling is effective a high rate of computation could be done …

Subgraph counting is a fundamental component for many downstream applications such as
graph representation learning and query optimization. Since obtaining the exact count is …

Challenges in bioinformatics include tools to treat large-scale processing, mainly due to the
large volumes of data generated by high-throughput sequencing machines. Besides, many …

CPU scheduling is a process which allows one process to use the CPU while the another
process is in waiting state due to unavailability of any resource like I/O etc, thereby making …

Multiprogramming plays an essential role more effectively in resources utilization. In the
context of multiprogramming, CPU scheduling plays a key role. Several algorithms have …

CPU or process Scheduling, which is an important part in any operating systems, allocates
processes to the CPU in specific order to optimize some objective functions. The efficiency of …

Current study represents the implementation of a various scheduling algorithms and
developing CPU scheduling algorithms. Examining their impact in practice can be difficult as …

The prediction of occurrence of droughts has been a challenging task. However, it is
necessary that prediction is done with at most accuracy to prevent loss of life and property …

Embedded systems with multi core processors are increasingly popular because of the
diversity of applications that can be run on it. In this work, a reinforcement learning based …

Scheduling is a well known term in the field of operating system which allows processes for
execution. Round-robin (RR) performs better in the time-shared system; as each process …