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submitting the revised version of the manuscript ID TSC-2023-11-0766 following reviewer's comments, for possible publication in IEEE Transactions on Services Computing. - -Title: Managing ML-Based Application Non-Functional Behavior: A Multi-Model Approach -Authors: Marco Anisetti, Claudio A. Ardagna, Nicola Bena, Ernesto Damiani, Paolo G. Panero - -According to the received instructions, we have prepared a reply letter that includes our detailed answers to the reviewers' comments. The response letter has been uploaded in a separate pdf file with ``Summary of Changes'' as the file designation. - -Please do not hesitate to contact me if you have any questions or would like additional information. - -Thank you in advance for your consideration. - -Best regards, -Claudio Ardagna -\end{comment} - \begin{letter}{% - Prof. Ernesto Damiani\\ + Prof. Borko Furht, Prof. Taghi Koshgoftaar \\ Editor-in-Chief\\ IEEE Transactions on Services Computing\\ } - \opening{Dear Prof. Borko, Dear Prof. Taghi,} + \opening{Dear Prof. Furht, Dear Prof. Khoshgoftaar,} - We wish to submit an original research article for possible publication in Journal of Big Data. + I'm hereby submitting the following manuscript for consideration for possible publication in the special issue on ``Trustworthy AI and Data Lineage'' of IEEE Internet Computing. \textbf{Title}: Balancing Data Quality and Protection in Distributed Big Data Pipelines \textbf{Authors}: Marco Anisetti, Claudio A. Ardagna, Chiara Braghin, Ernesto Damiani, Antongiacomo Polimeno - I confirm that this work is original and has not been published elsewhere, nor is it currently under consideration for publication elsewhere. - - In this paper, we report on a data governance framework designed to mitigate privacy and security risks in modern data-driven pipelines. - This is significant because it addresses the dual challenge of maintaining high data quality while ensuring robust data protection in a multitenant cloud environment, - which is increasingly important given the widespread adoption of cloud infrastructures. - - We believe that this manuscript is appropriate for publication by the Journal of Big Data because it aligns with the journal’s Aims and Scope, - particularly in the areas of big data analytics, data privacy, and security. - - The primary contributions of the paper can be summarized as follows: - \begin{itemize} - \item Enriching services with metadata that describes both data protection and functional requirements. - \item Proposing a parametric heuristic tailored to address the computational complexity of the NP-hard service selection problem. - \item Evaluating the performance and quality of the algorithm through experiments conducted using a real-world dataset. - \end{itemize} - - We have no conflicts of interest to disclose. Please address all correspondence concerning this manuscript to me at claudio.ardagna@unimi.it. - Thank you for your consideration of this manuscript. + The paper does not include any previously published material. Please do not hesitate to contact me if you have any questions or would like additional information. + Thank you in advance for your consideration. \closing{Best regards,}