Business rules are of key importance for maintaining the correctness of business data. They also can help to contain the amount of uncertainty associated to business data and decisions based on them. However, business rule enforcement does not scale up easily to concurrent systems. That is due to two common exigencies: the postulates of total and of isolated business rule satisfaction. In order to limit the accumulation of uncertainty, we outline how measure-based uncertainty-tolerant business rules maintenance scales up to concurrent transactions, by refraining from the postulates of total and isolated rule satisfaction.
Scalable uncertainty-tolerant business rules
Cuzzocrea Alfredo;
2014-01-01
Abstract
Business rules are of key importance for maintaining the correctness of business data. They also can help to contain the amount of uncertainty associated to business data and decisions based on them. However, business rule enforcement does not scale up easily to concurrent systems. That is due to two common exigencies: the postulates of total and of isolated business rule satisfaction. In order to limit the accumulation of uncertainty, we outline how measure-based uncertainty-tolerant business rules maintenance scales up to concurrent transactions, by refraining from the postulates of total and isolated rule satisfaction.File in questo prodotto:
Non ci sono file associati a questo prodotto.
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
