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Tuning performance of e-business applications through automatic transformation of persistent database structures

Conference Paper


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Abstract


  • Performance of e-business applications strongly depends

    on internal implementations of persistent database structures

    and on effective algorithms processing these structures.

    Commercial database systems, which are the basis of e-business

    applications typically implement logical database structures with

    one-size-fits-all persistent storage structure.

    This work investigates a new class of database systems where a

    conceptual and logical view of a database can be implemented in

    many different ways depending on the performance requirements

    of database applications. We consider the improvements to performance

    of e-business applications through automatic changes

    of the persistent database structures in the ways indicated

    by the performance statistics obtained from tracing of the

    applications. In particular, this work describes a language for

    formal specification of variable persistent database structures,

    it shows how to find the best implementation structures for a

    given set of e-business applications, and it shows how to automatically

    transform one persistent data structure into another.

    We also investigate a problem how to automatically adjust the

    implementations of applications to the new persistent database

    structures.

Publication Date


  • 2013

Citation


  • Getta, J. R. (2013). Tuning performance of e-business applications through automatic transformation of persistent database structures. International Conference on E-Technologies and Business on the Web (pp. 99-105). United States: Society of Digital Information and Wireless Communications.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3428&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2419

Start Page


  • 99

End Page


  • 105

Place Of Publication


  • http://sdiwc.net/digital-library/tuning-performance-of-ebusiness-applications-through-automatic-transformation-of-persistent-database-structures

Abstract


  • Performance of e-business applications strongly depends

    on internal implementations of persistent database structures

    and on effective algorithms processing these structures.

    Commercial database systems, which are the basis of e-business

    applications typically implement logical database structures with

    one-size-fits-all persistent storage structure.

    This work investigates a new class of database systems where a

    conceptual and logical view of a database can be implemented in

    many different ways depending on the performance requirements

    of database applications. We consider the improvements to performance

    of e-business applications through automatic changes

    of the persistent database structures in the ways indicated

    by the performance statistics obtained from tracing of the

    applications. In particular, this work describes a language for

    formal specification of variable persistent database structures,

    it shows how to find the best implementation structures for a

    given set of e-business applications, and it shows how to automatically

    transform one persistent data structure into another.

    We also investigate a problem how to automatically adjust the

    implementations of applications to the new persistent database

    structures.

Publication Date


  • 2013

Citation


  • Getta, J. R. (2013). Tuning performance of e-business applications through automatic transformation of persistent database structures. International Conference on E-Technologies and Business on the Web (pp. 99-105). United States: Society of Digital Information and Wireless Communications.

Ro Full-text Url


  • http://ro.uow.edu.au/cgi/viewcontent.cgi?article=3428&context=eispapers

Ro Metadata Url


  • http://ro.uow.edu.au/eispapers/2419

Start Page


  • 99

End Page


  • 105

Place Of Publication


  • http://sdiwc.net/digital-library/tuning-performance-of-ebusiness-applications-through-automatic-transformation-of-persistent-database-structures