{"type":"book_chapter","page":"398-406","doi":"10.1007/978-3-319-94295-7_28","series_title":"Lecture Notes in Computer Science","language":[{"iso":"eng"}],"user_id":"35437","citation":{"chicago":"Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” In Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, 398–406. Lecture Notes in Computer Science. Cham: Springer International Publishing, 2018. https://doi.org/10.1007/978-3-319-94295-7_28.","ieee":"K. Grünberg and W. Schenck, “A Case Study on Benchmarking IoT Cloud Services,” in Cloud Computing – CLOUD 2018, M. Luo and L.-J. Zhang, Eds. Cham: Springer International Publishing, 2018, pp. 398–406.","alphadin":"Grünberg, Kevin ; Schenck, Wolfram: A Case Study on Benchmarking IoT Cloud Services. In: Luo, M. ; Zhang, L.-J. (Hrsg.): Cloud Computing – CLOUD 2018, Lecture Notes in Computer Science. Cham : Springer International Publishing, 2018, S. 398–406","short":"K. Grünberg, W. Schenck, in: M. Luo, L.-J. Zhang (Eds.), Cloud Computing – CLOUD 2018, Springer International Publishing, Cham, 2018, pp. 398–406.","ama":"Grünberg K, Schenck W. A Case Study on Benchmarking IoT Cloud Services. In: Luo M, Zhang L-J, eds. Cloud Computing – CLOUD 2018. Lecture Notes in Computer Science. Cham: Springer International Publishing; 2018:398-406. doi:10.1007/978-3-319-94295-7_28","bibtex":"@inbook{Grünberg_Schenck_2018, place={Cham}, series={Lecture Notes in Computer Science}, title={A Case Study on Benchmarking IoT Cloud Services}, DOI={10.1007/978-3-319-94295-7_28}, booktitle={Cloud Computing – CLOUD 2018}, publisher={Springer International Publishing}, author={Grünberg, Kevin and Schenck, Wolfram}, editor={Luo, Min and Zhang, Liang-JieEditors}, year={2018}, pages={398–406}, collection={Lecture Notes in Computer Science} }","apa":"Grünberg, K., & Schenck, W. (2018). A Case Study on Benchmarking IoT Cloud Services. In M. Luo & L.-J. Zhang (Eds.), Cloud Computing – CLOUD 2018 (pp. 398–406). Cham: Springer International Publishing. https://doi.org/10.1007/978-3-319-94295-7_28","mla":"Grünberg, Kevin, and Wolfram Schenck. “A Case Study on Benchmarking IoT Cloud Services.” Cloud Computing – CLOUD 2018, edited by Min Luo and Liang-Jie Zhang, Springer International Publishing, 2018, pp. 398–406, doi:10.1007/978-3-319-94295-7_28."},"editor":[{"full_name":"Luo, Min","last_name":"Luo","first_name":"Min"},{"first_name":"Liang-Jie","last_name":"Zhang","full_name":"Zhang, Liang-Jie"}],"main_file_link":[{"open_access":"1","url":"https://link.springer.com/chapter/10.1007/978-3-319-94295-7_28"}],"title":"A Case Study on Benchmarking IoT Cloud Services","publication_identifier":{"eisbn":["978-3-319-94295-7"],"isbn":["978-3-319-94294-0"],"issn":["0302-9743"],"eissn":["1611-3349"]},"author":[{"full_name":"Grünberg, Kevin","first_name":"Kevin","last_name":"Grünberg"},{"first_name":"Wolfram","last_name":"Schenck","id":"224375","orcid_put_code_url":"https://api.orcid.org/v2.0/0000-0003-3300-2048/work/94914426","full_name":"Schenck, Wolfram","orcid":"0000-0003-3300-2048"}],"publication_status":"published","status":"public","date_created":"2021-06-03T19:35:57Z","date_updated":"2024-11-25T09:05:33Z","year":"2018","oa":"1","_id":"1209","publisher":"Springer International Publishing","abstract":[{"text":"The Internet of Things (IoT) is on the rise, forming networks of sensors, machines, cars, household appliances, and other physical items. In the industrial area, machines in assembly lines are connected to the internet for quick date exchange and coordinated operation. Cloud services are an obvious choice for data integration and processing in the (industrial) IoT. However, manufacturing machines have to exchange data in close to real-time in many use cases, requiring small round-trip times (RTT) in the communication between device and cloud. In this study, two of the major IoT cloud services, Microsoft Azure IoT Hub and Amazon Web Services IoT, are benchmarked in the area of North Rhine-Westphalia (Germany) regarding RTT, varying factors like time of day, day of week, location, inter-message interval, and additional data processing in the cloud. The results show significant performance differences between the cloud services and a considerable impact of some of the aforementioned factors. In conclusion, as soon as (soft) real-time conditions come into play, it is highly advisable to carry out benchmarking in advance to identify an IoT cloud workflow which meets these conditions.","lang":"eng"}],"place":"Cham","publication":"Cloud Computing – CLOUD 2018"}