Title: A semantics-based validation approach for enhancing QoS in distributed real-time DBMS

Authors: Fehima Achour; Emna Bouazizi; Wassim Jaziri

Addresses: MIRACL Laboratory, The Higher Institute of Computer Science and Multimedia, P.B. 242, Sfax 3021, Tunisia ' MIRACL Laboratory, The Higher Institute of Computer Science and Multimedia, P.B. 242, Sfax 3021, Tunisia; The College of Computer Science and Engineering, University of Jeddah, Jeddah, Saudi Arabia ' MIRACL Laboratory, The Higher Institute of Computer Science and Multimedia, P.B. 242, Sfax 3021, Tunisia; King Faisal University, Al Ahsa, KSA

Abstract: Distributed real-time database management systems (DRTDBMS) are essential for critical applications such as financial trading and healthcare, where timely processing is vital. Quality of service (QoS) approaches, like the distributed feedback control scheduling (DFCS) architecture, are favoured for improving DRTDBMS performance. However, transactions scheduling remains a challenge in such systems, impacting user's experience. Recently, the advanced earliest deadline first based on transactions aggregation links and data semantic links (AEDF-TAL-DSL) protocol emerged as a scheduling solution in a centralised real-time context. This paper focuses on exploring the adaptability of the AEDF-TAL-DSL protocol to the DFCS architecture, offering a significant opportunity to optimise DRTDBMS performance. The novelty of our approach is to enable advanced transaction scheduling while considering transaction aggregation links and data semantic links aiming to maximise the number of satisfied transactions. We illustrate the contributions of our approach through simulation results, demonstrating its effectiveness to enhance the QoS in DRTDBMS.

Keywords: distributed real-time database management systems; DRTDBMS; quality of service; QoS; scheduling; user satisfaction; AEDF-TAL-DSL; transactions; simulation.

DOI: 10.1504/IJIIDS.2025.143489

International Journal of Intelligent Information and Database Systems, 2025 Vol.17 No.1, pp.124 - 142

Received: 25 Dec 2023
Accepted: 28 Mar 2024
Published online: 23 Dec 2024 *