Abstract
Shared memory applications are principal to solve a big number of problems in distributed systems. From high performance applications, where the different computational units use this technique to simplify its designs (and often improve the performance) to database applications, where a replicated database can also be considered as a flavor of shared memory for the different involved nodes.
Any of these applications use replication as the basis for the implementation of shared memory, and they frequently share common characteristics in respect to access locality to particular portions of the global state. Replication is also a technique commonly used in distributed systems in order to provide fault tolerance.
Many techniques have been designed to perform the necessary consistency management for the different views on a replicated memory system. Some of these techniques try to take advantadge of the access locality, by propagating the changes performed by any node in a lazy style (i.e. as late as possible). Nevertheless, lazy update protocols have proven to have an undesirable behavior due to their high abortion rate in scenarios with high degree of access conflicts.
In this paper, we present the problem of the abortion rate in such protocols from a statistical point of view, in order to provide an expression capable to predict the probability for an object to be out of date during the execution of a transaction in a contextual environment.
It is also suggested a pseudo-optimistic technique that makes use of this expression to reduce the abortion rate caused by accesses to out of date objects.
The proposal is validated by means of an empirical study of the behavior of the expression, including measurements of a real implementation. Finally, we discuss the application of these results to improve lazy update protocols, providing a technique to determine the theoretical boundaries of the improvement.
This work has been partially supported by the EU grant IST-1999-20997 and the Spanish grant TIC2003-09420-C02-01.
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Irún-Briz, L., Muñoz-Escoí, F.D., Bernabéu-Aubán, J.M. (2005). Analysis of the Abortion Rate on Lazy Replication Protocols . In: Daydé, M., Dongarra, J., Hernández, V., Palma, J.M.L.M. (eds) High Performance Computing for Computational Science - VECPAR 2004. VECPAR 2004. Lecture Notes in Computer Science, vol 3402. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11403937_34
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