Precision-Aware Data Management in Federated Cloud Environments: A Context-Aware Approach

In the ever-evolving world of cloud computing, the management of data in federated cloud environments presents a complex challenge. Presented study investigates precision-aware data management techniques with the goal of improving the efficiency of federated cloud systems. Our work acknowledges the crucial significance of context-awareness in enhancing data operations and introduces an adaptive data management middleware. The precision-aware system caters to the requirement for accuracy and reliability in data processing by integrating sophisticated algorithms and techniques. Simultaneously, the integration of context-awareness ensures that data management strategies dynamically adapt to the changing contextual conditions within federated cloud environments. This strategy has two aspects, first to increase the accuracy of data operations and second to improve the overall responsiveness and adaptability of the system. Our study focuses on creating innovative middleware that can effortlessly integrate precision-aware and context-aware features. We assess the effectiveness of the proposed system by conducting empirical evaluations and analyzing real-world use cases. Our findings demonstrate that the system is capable of optimizing data management in diverse and dynamic federated cloud contexts. The results of this study enhance the progress of adaptive data management approaches by providing a detailed comprehension of the interaction between precision and context in federated cloud environments. Proposed work is important for research scholars, practitioners, and industry experts who are looking for creative ways to improve the performance and adaptability of data management systems in complex cloud environments.