4 research outputs found
Multi-User Evaluation of XML Data Management Systems with XMach-1
XMach-1 was the first XML data management benchmark designed for general applicability [1]. It is still the only benchmark supporting a multiuser performance evaluation of XML database systems. After a brief review of XMach-1 we summarize three additionally proposed benchmarks (XMark, XOO7, Mbench) and provide a comparison between these benchmarks. We then present experiences and performance results from evaluating XML database systems with XMach-1
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A flexible approach for mapping between object-oriented databases and xml. A two way method based on an object graph.
One of the most popular challenges facing academia and industry is the development
of effective techniques and tools for maximizing the availability of data as the most
valuable source of knowledge. The internet has dominated as the core for
maximizing data availability and XML (eXtensible Markup Language) has emerged
and is being gradually accepted as the universal standard format for platform
independent publishing and exchanging data over the Internet. On the other hand,
there remain large amount of data held in structured databases and database
management systems have been traditionally used for the effective storage and
manipulation of large volumes of data. This raised the need for effective
methodologies capable of smoothly transforming data between different formats in
general and between XML and structured databases in particular. This dissertation
addresses the issue by proposing a two-way mapping approach between XML and
object-oriented databases. The basic steps of the proposed approach are applied in a
systematic way to produce a graph from the source and then transform the graph into
the destination format. In other words, the derived graph summarizes characteristics
of the source whether XML (elements and attributes) or object-oriented database
(classes, inheritance and nesting hierarchies). Then, the developed methodology
classifies nodes and links from the graph into the basic constructs of the destination,
i.e., elements and attributes for XML or classes, inheritance and nesting hierarchies
for object-oriented databases. The methodology has been successfully implemented
and illustrative case studies are presented in this document
Extensibility in ORDBMS databases : an exploration of the data cartridge mechanism in Oracle9i
To support current and emerging database applications, Object-Relational Database Management Systems (ORDBMS) provide mechanisms to extend the data storage capabilities and the functionality of the database with application-specific types and methods. Using these mechanisms, the database may contain user-defined data types, large objects (LOBs), external procedures, extensible indexing, query optimisation techniques and other features that are treated in the same way as built-in database features . The many extensibility options provided by the ORDBMS, however, raise several implementation challenges that are not always obvious. This thesis examines a few of the key challenges that arise when extending Oracle database with new functionality. To realise the potential of extensibility in Oracle, the thesis used the problem area of image retrieval as the main test domain. Current research efforts in image retrieval are lagging behind the required retrieval, but are continuously improving. As better retrieval techniques become available, it is important that they are integrated into the available database systems to facilitate improved retrieval. The thesis also reports on the practical experiences gained from integrating an extensible indexing scenario. Sample scenarios are integrated in Oracle9i database using the data cartridge mechanism, which allows Oracle database functionality to be extended with new functional components. The integration demonstrates how additional functionality may be effectively applied to both general and specialised domains in the database. It also reveals alternative design options that allow data cartridge developers, most of who are not database server experts, to extend the database. The thesis is concluded with some of the key observations and options that designers must consider when extending the database with new functionality. The main challenges for developers are the learning curve required to understand the data cartridge framework and the ability to adapt already developed code within the constraints of the data cartridge using the provided extensibility APls. Maximum reusability relies on making good choices for the basic functions, out of which specialised functions can be built.KMBT_363Adobe Acrobat 9.54 Paper Capture Plug-i