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Improving Recovery in Weak-Voting Data Replication

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Advanced Parallel Processing Technologies (APPT 2007)

Abstract

Nowadays eager update everywhere replication protocols are widely proposed for replicated databases. They work together with recovery protocols in order to provide highly available and fault-tolerant information systems. This paper proposes two enhancements for reducing the recovery times, minimizing the recovery information to transfer. The idea is to consider on one hand a more realistic failure model scenario –crash recovery with partial amnesia– and on the other hand to apply a compacting technique. Moreover, it is provided amnesia support avoiding possible state inconsistencies –associated to the failure model assumed– before starting the recovery process at recovering replicas.

Work supported by FEDER, the Spanish MEC grant TIN2006-14738-C02 and the Mexican DGEST and SES-ANUIES.

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Ming Xu Yinwei Zhan Jiannong Cao Yijun Liu

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García-Muñoz, L.H., de Juan-Marín, R., Armendáriz-Íñigo, J.E., Muñoz-Escoí, F.D. (2007). Improving Recovery in Weak-Voting Data Replication. In: Xu, M., Zhan, Y., Cao, J., Liu, Y. (eds) Advanced Parallel Processing Technologies. APPT 2007. Lecture Notes in Computer Science, vol 4847. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-76837-1_17

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  • DOI: https://doi.org/10.1007/978-3-540-76837-1_17

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-76836-4

  • Online ISBN: 978-3-540-76837-1

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