Time-cognizant recovery processing for embedded real-time databases

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 data-bases 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. © Springer-Verlag Berlin Heidelberg 2005.