amounts of data stored i make it more more difsicult to get summarized and provided in a timely manner In order to achieve this goal, a fuzzy trigger model is proposed. The model is based on the concept of afuzzy event. Fuzzy events are integrated with fuzzy conditionactions using a new membership function modification technique called squeezing. In addition, this paper describes an application of fuzzy trigger treatmnt in Q real-life industrial drive con The developed model can be applied to g fuzziness with
Int;roduction' h e evkr-increasing amounts of data stored in databases, referred to as data explosion, creates a need to transform
Algorithms for scheduling of distributed transactions in a heterogeneous multidatabase, in the presence of failures, are presented. The algorithms of prepare certification and commit certification protect against serialization errors called global view distortions and local view distortions. View serializable overall histories are guaranteed in the presence of most typical failures. The assumptions are, among others, that the participating database systems produce rigorous histories, e.g. by using the strict two-phase locking policy, and that no local transaction may update the data accessed by a global transaction that is in the prepared state. The main advantage of the method, as compared to other known solutions, is that it is totally decentralized.
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