MYRIAD federated database prototype

S. Y. Hwang, E. P. Lim, H. R. Yang, S. Musukula, K. Mediratta, M. Ganesh, D. Clements, J. Stenoien, Jaideep Srivastava

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

Myriad is a federated database system (FDBS) prototype being developed at the University of Minnesota. The main objective behind this prototyping effort is to provide 'enterprise-wide' information by integrating independently developed databases while preserving the local autonomy of the component DBMSs and applications. In Myriad, multiple federations can be formed. A federation consists of an integrated database whose schema is represented as a set of integrated relations derived from the export relations provided by the component DBMSs. SQL, mainly due to its simplicity and popularity among database users and vendors, has been adopted to express global queries as well as the queries for the local database gateways. Myriad provides query processing and global transaction management in a federated environment.

Original languageEnglish
Title of host publicationProceedings of the ACM SIGMOD International Conference on Management of Data
EditorsRichard T. Snodgrass, Marianne Winslett
Place of PublicationNew York, NY, United States
PublisherPubl by ACM
Pages518
Number of pages1
Volume23
Edition2
ISBN (Print)0897916395
Publication statusPublished - Jun 1994
Externally publishedYes
EventProceedings of the 1994 ACM SIGMOD International Conference on Management of Data - Minneapolis, MN, USA
Duration: 24 May 199427 May 1994

Other

OtherProceedings of the 1994 ACM SIGMOD International Conference on Management of Data
CityMinneapolis, MN, USA
Period24/5/9427/5/94

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ASJC Scopus subject areas

  • Computer Science(all)

Cite this

Hwang, S. Y., Lim, E. P., Yang, H. R., Musukula, S., Mediratta, K., Ganesh, M., Clements, D., Stenoien, J., & Srivastava, J. (1994). MYRIAD federated database prototype. In R. T. Snodgrass, & M. Winslett (Eds.), Proceedings of the ACM SIGMOD International Conference on Management of Data (2 ed., Vol. 23, pp. 518). Publ by ACM.