Abstract | ||
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The well-known and accepted criterion for measuring real-time database systems (RTDBSs) performances is to maximize the transactions success ratio. In this paper, we focus on a stochastic study of firm real-time transactions, i.e, transactions which are aborted and discarded as soon as they have missed their deadlines. The results we obtained is the reasonable approximation of this ratio behavior by a probabilistic distribution with defined parameters. To achieve this objective and due to the lack of real data, we have designed a simulator based on components including probabilistic characteristics: a transactions generator and a conflicts generator. The latter is based on data conflicts level. After testing two kinds of concurrency control protocols, a pessimistic and an optimistic one, simulation results have helped us to determine load conditions where a kind of protocol is better than the other. |
Year | DOI | Venue |
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2006 | 10.1145/1141277.1141397 | SAC |
Keywords | Field | DocType |
probabilistic distribution,ratio behavior,real-time database system,probabilistic characteristic,real-time transactions success ratio,transactions success ratio,stochastic study,conflicts generator,transactions generator,firm real-time transaction,data conflicts level,database system,stochastic analysis,concurrency control,real time | Serializability,Concurrency control,Computer science,Stochastic process,Real-time computing,Probabilistic logic,Possibility distribution,Distributed computing | Conference |
ISBN | Citations | PageRank |
1-59593-108-2 | 0 | 0.34 |
References | Authors | |
5 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Samy Semghouni | 1 | 3 | 0.75 |
Bruno Sadeg | 2 | 55 | 15.65 |
Laurent Amanton | 3 | 14 | 8.58 |
Alexandre Berred | 4 | 3 | 2.10 |