By Klaus-Dieter Schewe (auth.), Hele-Mai Haav, Ahto Kalja (eds.)
Databases and database platforms particularly, are regarded as kerneIs of any details method (IS). The speedy development of the internet on the net has dramatically elevated using semi-structured facts and the necessity to shop and retrieve such information in a database. The database group quick reacted to those new standards by way of delivering versions for semi-structured facts and through integrating database examine to XML net companies and cellular computing. nonetheless, IS group who by no means than prior to faces difficulties of IS improvement is looking for for brand new ways to IS layout. Ontology dependent methods are rising in popularity, due to a necessity for shared conceptualisation through diverse stakeholders of IS improvement groups. Many web-based IS may fail with out area ontologies to trap which means of phrases of their net interfaces. This quantity comprises revised types of 24 top papers offered on the th five foreign Baltic convention on Databases and knowledge platforms (BalticDB&IS'2002). The convention papers current unique learn ends up in the unconventional fields of IS and databases akin to net IS, XML and databases, info mining and data administration, cellular brokers and databases, and UML established IS improvement methodologies. The book's meant readers are researchers and practitioners who're attracted to complex issues on databases and IS.
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Additional resources for Databases and Information Systems II: Fifth International Baltic Conference, Baltic DB&IS’2002 Tallinn, Estonia, June 3–6, 2002 Selected Papers
Keywords: distributed databases, load-balancing, performance, OLTP, reactive distributed query execution, just in time, probability theory. -M. Haav andA. ), Databases and Information Systems 11,29-41. © 2002 Kluwer Academic Publishers. 30 1. Introduction. DDBMS architectures can become complex to be defined, managed and maintained. They have been studied and categorized in previous literature . These architectures allow more independent and local control of data and provide easy alternatives in designing and upgrading the distributed system.
2 Method theory. Under JitWob, the optimizing phase of any query is managed in the same way as usual: an optimization algorithm is responsible for creating the best operations map to execute the query; this map can be represented as a bushy tree Ja of operations. The scheduling phase of the query execution is to create the allocation plan for each one of the operations Oi composing graph Ja among the different nodes composing the DDBMS architecture considering dependencies. All of these algorithms manage execution dependency, system fragmentation and replication as main parameters to define final nodes allocation, under the normal assumption of synchronous execution time; for further details, please refer to .
The value of this type contains also meta-attributes values that have been evaluated for the respective context. The function returns reconciled value of the T type. Another instance involved is this instance that is of type MoneyAmount if the function is called from the mediator context or of type MoneyAmt if the function is called from a collection context. sum in the opposite context. Using auxiliary c1ass rate the function finds exchange rate for the source and target currencies. sum modifying it with the exchange rate found applying different scale factors of attribute in different contexts.