Abstract
In this paper, we address deadlock management in nested transactions. In our strategy, deadlocks are detected through the occurrence of cycles in a waits-for graph (WFG). However, the process of looking for cycles in the WFG considering all its nodes and edges can be very time-consuming. To accelerate this process, we propose the detection arcs. In essence, a detection arc represents a higher level abstraction embodying a hidden waiting relation between two transactions that is caused by a lock wait. Thus, the deadlock detection process needs to traverse only a minimal subset of the WFG's edges when it is started, the set of detection arcs. Therefore, the overall performance of deadlock management is improved, as confirmed by our performance measurements.
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de Ferreira Rezende, F., Härder, T., Gloeckner, A., Lutze, J. (1997). Detection arcs for deadlock management in nested transactions and their performance. In: Small, C., Douglas, P., Johnson, R., King, P., Martin, N. (eds) Advances in Databases. BNCOD 1997. Lecture Notes in Computer Science, vol 1271. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-63263-8_4
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DOI: https://doi.org/10.1007/3-540-63263-8_4
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