agriculture 4.0; IoT; Internet of Things; kappa architecture; smart farming
Abstract :
[en] Agriculture 4.0 is a domain of IoT in full growth which produces large amounts of data from machines , robots and sensors networks. This data must be able to be processed very quickly, especially for systems that need to make real-time decisions. The Kappa architecture provides a way to process Agriculture 4.0 data at high speed in the cloud and thus meet the requirements for processing speed. This paper presents an optimized Kappa architecture for the management of data in Agriculture. It optimized the classical Kappa architecture in order to improve memory management and processing speed. It fine tuned parameters of the Kappa architecture to process data from a concrete use case. It is showed the impact of the parameters tweaking on the speed of treatment. It is discovered that the combination of Apache Samza with Apache Druid offers the better performances.
Disciplines :
Computer science
Author, co-author :
Nkamla Penka, Jean Bertin
Mahdmoudi, Said
Debauche, Olivier ; Université de Liège - ULiège > TERRA Research Centre
Language :
English
Title :
A new Kappa Architecture for IoT Data Management in Smart Farming
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Bibliography
Andriamandroso, A.L.H., Lebeau, R., Beckers, Y., Froidmont, E., Dufrasne, I., Heinesch, B., Dumortier, P., Bindelle, J., Development of an open-source algorithm based on inertial measurement units (imu) of a smartphone to detect cattle grass intake and ruminating behaviors (2017) Computers and Electronics in Agriculture, 139, pp. 126-137
Bixio, L., Delzanno, G., Rebora, S., Rulli, M., A flexible iot stream processing architecture based on microservices (2020) Information, 11, p. 565
Debauche, O., Mahmoudi, S., Andriamandroso, A.L.H., Manneback, P., Bindelle, J., Lebeau, R., Web-based cattle behavior service for researchers based on the smartphone inertial central (2017) Procedia Computer Science, 110, pp. 110-116
Debauche, O., Mahmoudi, S., Andriamandroso, A.L.H., Manneback, P., Bindelle, J., Lebeau, R., Cloud services integration for farm animals' behavior studies based on smartphones as activity sensors (2019) Journal of Ambient Intelligence and Humanized Computing, 10, pp. 4651-4662
Debauche, O., Mahmoudi, S., Mahmoudi, S.A., Manneback, P., Bindelle, J., Lebeau, R., Edge computing for cattle behavior analysis (2020) 2020 Second International Conference on Embedded & Distributed Systems (EDiS), IEEE, pp. 52-57
Debauche, O., Mahmoudi, S., Manneback, P., Tadrist, N., Bindelle, J., Lebeau, R., (2017) Improvement of Battery Life of Iphones Inertial Measurement Unit by Using Edge Computing Application to Cattle Behavior
Debauche, O., Trani, J.P., Mahmoudi, S., Manneback, P., Bindelle, J., Mahmoudi, S., Lebeau, R., Data management and internet of things: A methodological review in smart farming (2021) Internet of Things, p. 100378. , https://www.sciencedirect.com/science/article/pii/S2542660521000226
Feick, M., Kleer, N., Kohn, M., Fundamentals of real-time data processing architectures lambda and kappa (2018) SKILL 2018 - Studierendenkonferenz Informatik, pp. 55-66. , Becker M. Gesellschaft für Informatik e.V. Bonn
Fote, F.N., Mahmoudi, S., Roukh, A., Mahmoudi, S.A., Big data storage and analysis for smart farming (2020) 2020 5th International Conference on Cloud Computing and Artificial Intelligence: Technologies and Applications (CloudTech), IEEE, pp. 1-8
Kreps, J., (2014) Questioning the Lambda Architecture, , Online article, July 205
Persico, V., Pescapé, A., Picariello, A., Sperlí, G., Benchmarking big data architectures for social networks data processing using public cloud platforms (2018) Future Generation Computer Systems, 89, pp. 98-109
Persson, P., Angelsmark, O., Kappa: Serverless iot deployment (2017) Proceedings of the 2nd International Workshop on Serverless Computing, pp. 16-21
Roukh, A., Fote, F.N., Mahmoudi, S.A., Mahmoudi, S., Wallesmart: Cloud platform for smart farming (2020) 32nd International Conference on Scientific and Statistical Database Management, p. 1
Sanla, A., Numnonda, T., A comparative performance of real-time big data analytic architectures (2019) 2019 IEEE 9th International Conference on Electronics Information and Emergency Communication (ICEIEC), IEEE, pp. 1-5
Wingerath, W., Gessert, F., Friedrich, S., Ritter, N., Real-time stream processing for big data (2016) It-Information Technology, 58, pp. 186-194
Zschörnig, T., Wehlitz, R., Franczyk, B., A personal analytics platform for the internet of things-implementing kappa architecture with microservice-based stream processing (2017) International Conference on Enterprise Information Systems, SCITEPRESS, pp. 733-738
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