Abstract
In the mobile environment, the communication between Mobile Hosts (MHs) and the database servers have a lot of challenges in the Mobile Database System (MDS). It suffers from many factors such as handoff, insufficient bandwidth, many transactions update, and recurrent failure that consider significant problems in the information system constancy. However, fault tolerance technicality enables systems to perform the tasks in the incidence of faults. The aim of this paper is to catch the optimal recovery solution from the available state-of-the-art techniques in MDS using the game theory tool to catch the best one. Some of the presented recovery protocols are selected and analyzed to choose the most important variables, such as the number of processes, time for sending messages, and the number of messages logged-in time that affect the recovery process. Then, the game theory technique is adapted based on the payoff matrix to choose the optimal recovery technique according to the given environmental variables. Game Theory (GT) is distinguished from other evaluation methods in that it uses a utility function to reach the optimal solution, while others used particular parameters. The experiments were carried by the NS2 simulator to implement the selected recovery protocols. The experiments approve the effectiveness of the proposed model compared to other techniques.
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Mokhtar, Y.F., Darwish, S.M., Madbouly, M.M. (2021). An Enhanced Database Recovery Model Based on Game Theory for Mobile Applications. In: Hassanien, A.E., Slowik, A., Snášel, V., El-Deeb, H., Tolba, F.M. (eds) Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2020. AISI 2020. Advances in Intelligent Systems and Computing, vol 1261. Springer, Cham. https://doi.org/10.1007/978-3-030-58669-0_2
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