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.ps.gz. |
| Publikationsjahr: | 1993 |
| Bestand: | CiteSeerX |
| Schlagwörter: | Managing Heterogeneous Distributed Computing Systems, Using Information Repositories |
| Beschreibung: | An integral part of managing heterogeneous distributed computing systems is an informa-tion 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 firstoutline the general characteristics of data repositories, including requirements and data model features. Then we build an experimental prototype system to test two candidate re-positories: X.500 and the AFS file system. Performance and scalability measurements are collected, analyzed, and compared for the two platforms; and some preliminary conclu-sions are reached. |
| Publikationsart: | text |
| Dateibeschreibung: | application/postscript |
| Sprache: | English |
| Relation: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.3013 |
| Verfügbarkeit: | http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.74.3013 http://www.citi.umich.edu/techreports/reports/citi-tr-93-11.ps.gz |
| Rights: | Metadata may be used without restrictions as long as the oai identifier remains attached to it. |
| Dokumentencode: | edsbas.E21E607D |
| Datenbank: | BASE |
Nájsť tento článok vo Web of Science | Abstract: | An integral part of managing heterogeneous distributed computing systems is an informa-tion 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 firstoutline the general characteristics of data repositories, including requirements and data model features. Then we build an experimental prototype system to test two candidate re-positories: X.500 and the AFS file system. Performance and scalability measurements are collected, analyzed, and compared for the two platforms; and some preliminary conclu-sions are reached. |
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