Publication Type : Book Article
Publisher : IEEE
Url : https://doi.org/10.1109/CSITSS64042.2024.10816975
Keywords : Tree data structures;Scalability;Query processing;Resumes;Memory;Companies;Reliability;Time complexity;Information technology;Indexing;MongoDb;Trees;AVL tree;Linked list;ArrayList
Campus : Bengaluru
School : School of Computing
Department : Computer Science and Engineering
Year : 2024
Abstract :
The creation of a Real-Time Task Manager with a user-friendly interface and effective system monitoring is presented in this work utilising Python. The Psutil library was used to retrieve comprehensive system information, and Tkinter was used to develop the graphical user interface (GUI). The task manager's capacity to show parent processes at first, enabling users to expand and examine matching child processes upon request, is one of its primary features. In addition, the system permits the termination of user processes and facilitates the search for running processes. Real-time process data refreshing is another essential feature that makes sure the most recent information is shown. The Process ID, Process Name, Username, Memory Usage Percentage, and CPU Usage Percentage are among the prominent metrics displayed. These indicators are essential for locating operations that use a lot of resources and for efficiently controlling system performance. Iterative development was prioritised in the design process, including user feedback to improve stability and performance. The task manager is a potent tool for users and system administrators, providing real-time updates and responsive monitoring and management features through its modular and scalable architecture.
Cite this Research Publication : Sahil Kumar Gupta, Raushan kumar Gupta, Ishwor Acharya, Mohit Kumar Rauniyar, Divya KV, Hierarchical Data Storage Model Representation in MongoDB for a Resume Ranking Application, [source], IEEE, 2024, https://doi.org/10.1109/CSITSS64042.2024.10816975