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Solving the Golden Transaction Problem for ARIES-based Multi-level Recovery
Speer, J., Kirchberg, M., Riaz-ud-Din, F. and Schewe, K.-D.
Transaction throughput is a crucial issue for database
systems. Multi-level transactions have been proposed
in an attempt to offer improved concurrency
of transaction processing by allowing operations that
would otherwise be performed serially to take place
concurrently. Therefore, it is vital that recovery algorithms
do not impede this concurrency by artificially
introducing restrictions that otherwise do not
need to exist. The ARIES recovery algorithm has
had a significant impact on the current thinking on
database transaction logging and recovery. Its corresponding
extension to multi-level transactions, i.e.
ARIES/ML, preserves the unique features of ARIES
but places significant restrictions on rollback processing.
In this paper, we present an algorithm that
solves the so-called �golden transaction' problem of the
ARIES/ML algorithm. |
Cite as: Speer, J., Kirchberg, M., Riaz-ud-Din, F. and Schewe, K.-D. (2009). Solving the Golden Transaction Problem for ARIES-based Multi-level Recovery. In Proc. Twentieth Australasian Database Conference (ADC 2009), Wellington, New Zealand. CRPIT, 92. Bouguettaya, A. and Lin, X., Eds. ACS. 19-28. |
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