Logo del repository
  1. Home
 
Opzioni

Scalable uncertainty-tolerant business rules

CUZZOCREA, Alfredo Massimiliano
•
Decker, Hendrik
•
Muñoz Escoí, Francesc D.
2014
  • conference object

Periodico
LECTURE NOTES IN COMPUTER SCIENCE
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.
DOI
10.1007/978-3-319-07617-1_16
WOS
WOS:000342836300016
Archivio
http://hdl.handle.net/11368/2896342
info:eu-repo/semantics/altIdentifier/scopus/2-s2.0-84902491374
http://springerlink.com/content/0302-9743/copyright/2005/
Diritti
metadata only access
Soggetti
  • Computer Science (all...

  • Theoretical Computer ...

Scopus© citazioni
0
Data di acquisizione
Jun 7, 2022
Vedi dettagli
google-scholar
Get Involved!
  • Source Code
  • Documentation
  • Slack Channel
Make it your own

DSpace-CRIS can be extensively configured to meet your needs. Decide which information need to be collected and available with fine-grained security. Start updating the theme to match your nstitution's web identity.

Need professional help?

The original creators of DSpace-CRIS at 4Science can take your project to the next level, get in touch!

Realizzato con Software DSpace-CRIS - Estensione mantenuta e ottimizzata da 4Science

  • Impostazioni dei cookie
  • Informativa sulla privacy
  • Accordo con l'utente finale
  • Invia il tuo Feedback