Time-Cognizant recovery processing for embedded real-time databases

Authors:
Guoqiong Liao;Yunsheng Liu;Yingyuan Xiao
Affiliations:
School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China;School of Computer Science and Technology, Huazhong University of Science and Technology, Wuhan, Hubei, P. R. China
Venue:
DASFAA'05 Proceedings of the 10th international conference on Database Systems for Advanced Applications
Year:
2005

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Abstract

Recovery processing in embedded real-time databases (ERTDBs) is more complex than traditional databases. In this paper, the classifications and consistency constraints of data and transactions in embedded real-time databases are given first. Then time-cognizant recovery principles for different classes of data and transactions are discussed. In terms of these principles, a time-cognizant recovery scheme based on real-time logging is presented, which is suitable for a class of embedded real-time databases applications. Performance evaluations show that the suggested scheme has better performances than traditional recovery techniques in two aspects: the missing deadlines percent of transactions and the time of system denying services after crashes.