Modern Resource Management and System Resource Allocation Using Constructive Data Processing with Knowledge Engineering Techniques
Authors:D. Saravanan, Dr. Anusha Sreeram, Dr. Dennis Joseph, V. Sai Sudheer
Keywords:
System resources, Constructive data processor, Knowledge engineering, System Enhancement, Operational performance, Periodical data collections.
Abstract:
One of the major challenges faced by users today is the effective utilization of available resources to improve processing speed and manage data efficiently. A key difficulty arises when users operate across multiple resources within a multidimensional environment. These users are often connected to systems with varying configurations, processing speeds, and network connectivity. This heterogeneous pool of information makes it extremely challenging for users to optimize application performance. To address the issue of efficient resource allocation, this paper proposes a technology called the Constructive Data Processor (CDP), which leverages a knowledge engineering mechanism. The proposed technique involves periodically collecting available information resources at regular intervals. When an operation is initiated, the system uses the collected data to identify the most feasible processing paths. These paths are then connected to the Constructive Data Processor, thereby enhancing the overall processing speed of user operations. The system design focuses on regular observing and estimation of available resources. Implementation results demonstrate that the proposed technique significantly improves system resource allocation when compared to existing methods.