Mayank Patel - IEEE Xplore Author Profile

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Processing large datasets requires significant hardware resources and energy. Researchers have observed that most database management systems could not utilize available resources efficiently, increasing data to result time and application running costs. This research explores techniques that can maximize the utilization of available resources to efficiently process large datasets on limited resou...Show More
Plant diseases are one of the leading causes of the loss of crops. Monitoring the plant growth conditions could help prevent the spread of diseases and ensure healthy agricultural productivity. A leaf wetness sensor (LWS) is used to detect wetness on the surface of the leaves. Leaf wetness duration (LWD) is an essential parameter that governs the possibility of the occurrence of diseases in plants...Show More
Finding a resource-efficient way of processing large application datasets having complex analytical and transactional queries with minimal replication is vital in reducing application running costs. Existing cost-based solutions have high algorithm execution time or data preprocessing requirements. The paper proposes Query Complexity Aware partitioning technique QCA with a lightweight query comple...Show More
The Internet of Things IoT sensors continuously generate large amount of data. Storing and managing the streaming IoT sensor data is a great challenge. IoT applications require real-time analytical query processing on stored data. To make any IoT data queriable, it needs to be loaded into any database management system traditionally. Where the high data insertion time DIT becomes the first bottle-...Show More