Download Beyond Databases, Architectures, and Structures: 10th by Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, PDF

By Stanislaw Kozielski, Dariusz Mrozek, Pawel Kasprowski, Bożena Malysiak-Mrozek, Daniel Kostrzewa

This publication constitutes the refereed complaints of the tenth IEEE overseas convention past Databases, Architectures, and constructions, BDAS 2014, held in Ustron, Poland, in may well 2014. This publication contains fifty six rigorously revised chosen papers which are assigned to eleven thematic teams: question languages, transactions and question optimization; facts warehousing and large information; ontologies and semantic internet; computational intelligence and knowledge mining; collective intelligence, scheduling, and parallel processing; bioinformatics and organic info research; photograph research and multimedia mining; safeguard of database platforms; spatial info research; functions of database platforms; net and XML in database systems.

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Additional info for Beyond Databases, Architectures, and Structures: 10th International Conference, BDAS 2014, Ustron, Poland, May 27-30, 2014. Proceedings

Example text

Therefore, information on the performance of data interfaces would be helpful in deciding on the appropriate technology. 1 Related Work In the Internet one can find many articles, blogs and discussions comparing different ORM interfaces and various aspects of their practical application. In general, the discussion on ORM interfaces goes in two directions. First problem is how using any ORM interface influences the performance of database query and whole development process. Another discussion is which ORM framework is the best solution in terms of performance and other criteria that may be important for application development and maintaining.

If the best individual so far was grown in the current population, then despite the fact that it cannot be retained in the next population it will be stored with an eye to the final optimization result. According to the rules of the family-based selection [8], each plant from the first population is a protoplast of a separate family. A family consists of a parent weed and its direct descendants. Only the best individual of each family survives and becomes member of the next population. The complexity of the exIWO algorithm can be estimated as follows: TexIW O = O(Nw · itermax · Smax ) (2) where Nw denotes the cardinality of each population; the remaining symbols were defined in aforementioned formulas.

Mostly used is Two Phase Commit protocol which was implemented in industrial standard X/Open Distributed Transaction Processing [8]. X/Open DTP architecture model features following components: – Application Program (AP) - Application program defines transaction and its boundaries. Within transaction boundaries AP performs a sequence of operation that involves many resource managers such as databases. – Transaction Manager (TM) - manage global transactions , coordinates the decision to commit or rollback them.

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