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dc.date.accessioned 2020-03-12T14:06:24Z
dc.date.available 2020-03-12T14:06:24Z
dc.date.issued 2019
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/90693
dc.description.abstract There are some processing environments where an application reads remote sequential files with a large number of records only to use some of them. Examples of those environments are servers, proxies, firewall and intrusion detection log analysis tools, sensor log analysis, large scientific datasets processing, etc. To be processed, all file records must be transferred through the network, and all of them must be processed by the application. Some of the transferred records would be discarded immediately by the application because it has no interest in them, but they just consumed network bandwidth and operating system’s cache buffers. This article proposes to filter records from the source of data but without changing the application. Those records of interest will be transferred without modifications but only references to the other records will be transferred from the source to the consuming application. At the application side, the sequence of records is rebuilt, keeping the content of records of interest and filling the others with dummy values which will be discarded by the application. As the number and length of records are preserved (and therefore the file size too), it is not necessary to modify the application. Once a filtering rule is applied to a file, only the useful records and references to unuseful ones will be transferred to the application side reducing network usage, transfer time, and cache utilization. A modified (but compatible) version of NFS protocol was developed as a proof of concept. en
dc.format.extent 879-888 es
dc.language en es
dc.subject Logging es
dc.subject Network File System (NFS) protocol es
dc.subject NFS es
dc.title Filtering Useless Data at the Source en
dc.type Objeto de conferencia es
sedici.identifier.isbn 978-987-688-377-1 es
sedici.creator.person Pessolani, Pablo Andrés es
sedici.creator.person Quaglia, Constanza es
sedici.creator.person Nou, Ramón es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/4.0/
sedici.date.exposure 2019-10
sedici.relation.event XXV Congreso Argentino de Ciencias de la Computación (CACIC) (Universidad Nacional de Río Cuarto, Córdoba, 14 al 18 de octubre de 2019) es
sedici.description.peerReview peer-review es
sedici.relation.isRelatedWith http://sedici.unlp.edu.ar/handle/10915/90359 es


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Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)