Managing Heterogeneous Distributed Computing Systems: Using Information Repositories

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Titel: Managing Heterogeneous Distributed Computing Systems: Using Information Repositories
Autoren: Gerald A. Winters, Toby J. Teorey
Weitere Verfasser: The Pennsylvania State University CiteSeerX Archives
Quelle: http://www.citi.umich.edu/techreports/reports/citi-tr-93-11.pdf.
Publikationsjahr: 1993
Bestand: CiteSeerX
Schlagwörter: Systems, Using Information Repositories
Beschreibung: An integral part of managing heterogeneous distributed computing systems is an information repository. The ultimate goal of our research is to specify a methodology for the design, analysis, and comparison of information repositories for such systems. We first outline the general characteristics of data repositories, including requirements and data model features. Then we build an experimental prototype system to test two candidate repositories: X.500 and the AFS file system. Performance and scalability measurements are collected, analyzed, and compared for the two platforms; and some preliminary conclusions are reached.
Publikationsart: text
Dateibeschreibung: application/pdf
Sprache: English
Relation: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8039
Verfügbarkeit: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.79.8039
http://www.citi.umich.edu/techreports/reports/citi-tr-93-11.pdf
Rights: Metadata may be used without restrictions as long as the oai identifier remains attached to it.
Dokumentencode: edsbas.5B627F3E
Datenbank: BASE
Beschreibung
Abstract:An integral part of managing heterogeneous distributed computing systems is an information repository. The ultimate goal of our research is to specify a methodology for the design, analysis, and comparison of information repositories for such systems. We first outline the general characteristics of data repositories, including requirements and data model features. Then we build an experimental prototype system to test two candidate repositories: X.500 and the AFS file system. Performance and scalability measurements are collected, analyzed, and compared for the two platforms; and some preliminary conclusions are reached.