Efficient multi-level cloud-based agriculture storage management system Online publication date: Fri, 15-Jul-2022
by Kuldeep Sambrekar; Vijay S. Rajpurohit
International Journal of Cloud Computing (IJCC), Vol. 11, No. 3, 2022
Abstract: Attaining good agriculture productivity aid countries' gross domestic product (GDP) growth. Guarantying food security for huge population across the globe possesses huge challenges. As a result, use of data analytic (DA), and internet of things (IoT) has been employed by various agencies such as remote sensing forecasting and GIS technology to build efficient agriculture management. Cloud computing platform has been adopted for storing and accessing these data remotely. Multi-cloud platform is adopted in existing approaches to provide quality of service (QoS) assurance and service level agreement (SLA) guarantee. However, these models are not efficient as it incurs latency and does not provision fault tolerance guarantee. For overcoming these research challenges, this work presents efficient multi-level cloud-based agriculture storage management system (EMLC-ASMS). Experiments are conducted on real-time data intensive and scientific application. The outcome shows EMLC-ASMS attain significant performance over existing model in terms of computation cost and latency.
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