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dc.date.accessioned 2004-05-18T17:49:01Z
dc.date.available 2004-05-18T03:00:00Z
dc.date.issued 2003-10
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/9462
dc.description.abstract This paper describes the advances obtained with the XPVM-W95 2.0, a novel monitoring tool for parallel applications that employ PVM-W95 (PVM for Windows) as well as PVM for Linux. The tool provides, at runtime, the appropriate information about parallel virtual machine configuration, parallel applications and workload from each node. The three more important aspects of the XPVM-W95 are: friendly graphical interface, portability and ability to deal with heterogeneity. These items were improved by version 2, mainly when considering the modularity rearrangement. Experiments demonstrate that XPVM-W95 has a stable behavior and reached the objectives proposed. XPVM-W95 allows a great portability of its source code and also allows the monitoring using different metrics. Empirical studies, realized by means of one single application, demonstrated an intrusion of 17,0% on Windows and 0,13% on Linux. en
dc.format.extent 15-21 es
dc.language en es
dc.subject Parallel processing es
dc.subject monitoring en
dc.subject OPERATING SYSTEMS es
dc.title Using portable monitoring for heterogeneous clusters on Windows and Linux operating systems en
dc.type Articulo es
sedici.identifier.uri http://journal.info.unlp.edu.ar/wp-content/uploads/JCST-Oct03-3.pdf es
sedici.identifier.issn 1666-6038 es
sedici.creator.person Kikuti, Daniel es
sedici.creator.person Souza, Paulo S. L. es
sedici.creator.person Souza, Simone R. S. es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Facultad de Informática es
sedici.subtype Articulo es
sedici.rights.license Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc/3.0/
sedici.description.peerReview peer-review es
sedici2003.identifier ARG-UNLP-ART-0000000253 es
sedici.relation.journalTitle Journal of Computer Science & Technology es
sedici.relation.journalVolumeAndIssue vol. 3, no. 2 es


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Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial 3.0 Unported (CC BY-NC 3.0)