Research output per year
Research output per year
Diana Di Luccio, Sokol Kosta, Aniello Castiglione, Antonio Maratea, Raffaele Montella*
Research output: Contribution to journal › Journal article › Research › peer-review
The rise of the Internet of Things has generated high expectations about the improvement in people's lifestyles. In the last decade, we saw several examples of instrumented cities where different types of data were gathered, processed, and made available to inspire the next generation of scientists and engineers. In this framework, sensors and actuators became leading actors of technologically pervasive urban environments. However, in coastal areas, marine data crowdsourcing is difficult to apply due to the challenging operational conditions, extremely unstable network connectivity, and security issues in data movement. To fill this gap, we present a novel version of our DYNAMO transfer protocol (DTP), a platform-independent data mover framework where data collected on board of vessels are stored locally and then moved from the edge to the cloud when the operating conditions are favorable. We evaluate the performance of DTP in a controlled environment with a private cloud by measuring the time it takes for the clouds ide to process and store a fixed amount of data while varying the number of microservice instances. We show that the time decreases exponentially when the number of microservice instances goes from 1 to 16 and it remains constant above that number.
Original language | English |
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Article number | e5988 |
Journal | Concurrency Computation |
Volume | 33 |
Issue number | 4 |
ISSN | 1532-0626 |
DOIs | |
Publication status | Published - 2021 |
Research output: Contribution to journal › Journal article › Research › peer-review
Research output: Contribution to book/anthology/report/conference proceeding › Article in proceeding › Research › peer-review