Title: Efficient multi-level cloud-based agriculture storage management system

Authors: Kuldeep Sambrekar; Vijay S. Rajpurohit

Addresses: Department of Computer Science and Engineering, KLS, Gogte Institute of Technology, Visvesvaraya Technological University, Belagavi, 590008, India ' Department of Computer Science and Engineering, KLS, Gogte Institute of Technology, Visvesvaraya Technological University, Belagavi, 590008, India

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.

Keywords: cloud-based agricultural storage management; multi-level cloud storage; cloud storage optimisation; multi-cloud storage; efficient hierarchical cloud-based storage mechanism.

DOI: 10.1504/IJCC.2022.124151

International Journal of Cloud Computing, 2022 Vol.11 No.3, pp.205 - 216

Received: 19 Jan 2019
Accepted: 24 Nov 2019
Published online: 15 Jul 2022 *

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