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Front Matter

Georgia Koutrika; Jun Yang; Manos Athanassoulis; Kostas Stefanidis; Ju Fan; Abdul Quamar; Yuanyan Tian; Alekh Jindal; Carsten Binnig; Jennie Rogers; Senjuti Basu Roy; Steven Euijong Whang; Matthias Boehm; Aaron J. Elmore; Vasilis Efthymiou; Xiao Hu; Xiaofang Zhou; Alan D. Fekete
In: Proceedings of the VLDB Endowment (PVLDB), Vol. 16, No. 12, Pages 1-17, VLDP, 2023.

Abstract

The Industrial, Applications, and Experience Track of VLDB 2023 covers all aspects of innovative commercial or industrialstrength data management systems and solutions, including novel real-world applications of data management systems and experience in applying recent research advances to real-world problems. This year, we received 76 submissions, out of which we accepted 29 papers (38%) after a review by the Industrial Track Program Committee. Each paper received 3 reviews. The Industrial Program Chairs in coordination with the PC Chairs made the final decisions after calibration. The authors and reviewers were required to declare their COIs, and the paper assignments to reviewers were made to ensure that there were no COIs. For the final decision, PC Chairs stepped in to handle submissions that had COIs with the Industry Program Chairs. The accepted papers covered a wide range of real-world data management solutions including machine learning for systems, systems for machine learning, benchmarking, performance and resource optimization for cloud-based systems, governance, as well as novel database systems for real-world use cases.

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