<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>47</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Pedro Guimarães</style></author><author><style face="normal" font="default" size="100%">José Orlando Pereira</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">X-Ray: Monitoring and analysis of distributed database queries</style></title><secondary-title><style face="normal" font="default" size="100%">Distributed Applications and Interoperable Systems (DAIS, with DisCoTec)</style></secondary-title></titles><dates><year><style  face="normal" font="default" size="100%">2015</style></year></dates><urls><related-urls><url><style face="normal" font="default" size="100%">https://haslab.uminho.pt/sites/default/files/jop/files/gp15.pdf</style></url></related-urls></urls><language><style face="normal" font="default" size="100%">eng</style></language><abstract><style face="normal" font="default" size="100%">&lt;p&gt;The integration of multiple database technologies, including both SQL and NoSQL, allows using the best tool for each aspect of a complex problem and is increasingly sought in practice. Unfortunately, this makes it difficult for database developers and administrators to obtain a clear view of the resulting composite data processing paths, as they combine operations chosen by different query optimisers, implemented by different software packages, and partitioned across distributed systems.&lt;/p&gt;
&lt;p&gt;This work addresses this challenge with the X-Ray framework, that allows monitoring code to be added to a Java-based distributed system by manipulating its bytecode at runtime. The resulting information is collected in a NoSQL database and then processed to visualise data processing paths as required for optimising integrated database systems. This proposal is demonstrated with a distributed query over a federation of Apache Derby database servers and its performance evaluated with the standard TPC-C benchmark workload.&lt;/p&gt;
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