<?xml version="1.0" encoding="UTF-8"?><xml><records><record><source-app name="Biblio" version="6.x">Drupal-Biblio</source-app><ref-type>17</ref-type><contributors><authors><author><style face="normal" font="default" size="100%">Kazi, I. H.</style></author><author><style face="normal" font="default" size="100%">Jose, D. P.</style></author><author><style face="normal" font="default" size="100%">Ben-Hamida, B.</style></author><author><style face="normal" font="default" size="100%">Hescott, C. J.</style></author><author><style face="normal" font="default" size="100%">Kwok, C.</style></author><author><style face="normal" font="default" size="100%">Konstan, J. A.</style></author><author><style face="normal" font="default" size="100%">Lilja, D. J.</style></author><author><style face="normal" font="default" size="100%">Yew, P.</style></author></authors></contributors><titles><title><style face="normal" font="default" size="100%">JaViz: a client/server Java profiling tool</style></title><secondary-title><style face="normal" font="default" size="100%">IBM Systems Journal</style></secondary-title></titles><keywords><keyword><style  face="normal" font="default" size="100%">Measurement</style></keyword><keyword><style  face="normal" font="default" size="100%">performance</style></keyword><keyword><style  face="normal" font="default" size="100%">Standardization</style></keyword></keywords><dates><year><style  face="normal" font="default" size="100%">2000</style></year><pub-dates><date><style  face="normal" font="default" size="100%">01/2000</style></date></pub-dates></dates><volume><style face="normal" font="default" size="100%">39</style></volume><pages><style face="normal" font="default" size="100%">96-117</style></pages><abstract><style face="normal" font="default" size="100%">&lt;p&gt;For many topics, the World Wide Web contains hundreds or thousands of relevant documents of widely varying quality. Users face a daunting challenge in identifying a small subset of documents worthy of their attention. Link analysis algorithms have received much interest recently, in large part for their potential to identify high quality items. We report here on an experimental evaluation of this potential. The JavaTM programming language, with its portability, object-oriented model, support for multithreading and distributed programming, and garbage collection features, is becoming the language of choice for the development of large-scale distributed applications. Without a suitable performance analysis tool for Java programs, however, it is often difficult to analyze the programs for performance-tuning problems. The profiler included in Sun's Java Development Kit (JDKTM) 1.1 does not provide sufficiently detailed trace information to address performance issues in large applications. Also, it does not support the tracing of client/server applications, which are very important for analyzing distributed systems. The JaViz performance analysis tool generates execution traces with sufficient detail to determine program hot spots, including remote method calls, in a distributed Java application program. JaViz provides a graphical display of the program execution tree for the entire distributed application in the form of a call graph for ease of visualization. A number of features allow users to analyze the execution tree for performance-tuning problems more easily than other Java performance monitoring tools. The usability and functionality of the JaViz tool set is demonstrated by applying it to an example distributed Java application program.&lt;/p&gt;</style></abstract><issue><style face="normal" font="default" size="100%">1</style></issue></record></records></xml>