Abstract
Failures (including hardware failures, software failures or unexpected shutdowns, sudden power failures, etc.) are unavoidable problems in large-scale distributed systems, so current distributed systems are required to support systematic fault tolerance. Aiming at the requirements of strong real-time application scenarios, this paper proposes a distributed cache and recovery method based on memory database. SQLite memory database is adopted and election-based multi-node data synchronization is introduced, which ensures the strong consistency of data on each node and eliminates the bottleneck and failure problems caused by the setting of the central node; at the same time, a dynamic load balancing mechanism is adopted to reduce the amount of synchronized data in the entire system and ensure the smooth operation of the system. Finally, the effectiveness of the proposed method is proved by experiments.
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Cai, Q., Lu, J., Lei, M. (2020). Distributed Cache and Recovery Method for Strong Real-Time Applications. In: Pan, Z., Cheok, A., Müller, W., Zhang, M. (eds) Transactions on Edutainment XVI. Lecture Notes in Computer Science(), vol 11782. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-61510-2_26
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DOI: https://doi.org/10.1007/978-3-662-61510-2_26
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