DocumentCode :
3245953
Title :
A performance monitoring system for large computing clusters
Author :
Marzolla, Moreno
Author_Institution :
Dipt. di Informatica, Universita Ca´´ Foscari di Venezia, Torino, Italy
fYear :
2003
fDate :
5-7 Feb. 2003
Firstpage :
393
Lastpage :
400
Abstract :
In this paper we describe the architecture of PerfMC, a performance monitoring system for clusters of workstations; a prototype implementation of the architecture is also presented. PerfMC is driven by an XML configuration file, and uses the Simple Network Management Protocol (SNMP) to collect statistics from each networked equipment. The collected data are maintained on the local disk of the monitoring station in a compact format, and various graphical and statistical analyses can be performed off-line. The monitoring tool embeds an HTTP server which is able to generate various types of graphs from the collected data. Moreover the HTTP server can generate arbitrary XML pages by dynamically applying XSLT stylesheets to an internal XML representation of the cluster´s status. The heavy use of XML-based technologies differentiates the proposed approach to traditional monitoring tools.
Keywords :
XML; performance evaluation; statistical analysis; system monitoring; workstation clusters; HTTP server; PerfMC; Simple Network Management Protocol; XML configuration file; XSLT stylesheets; architecture; graphical analyses; graphs; internal XML representation; large computing clusters; local disk; networked equipment; performance monitoring system; statistical analyses; statistics; workstation clusters; Computer architecture; Computer network management; Monitoring; Protocols; Prototypes; Statistical analysis; Statistics; Web server; Workstations; XML;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel, Distributed and Network-Based Processing, 2003. Proceedings. Eleventh Euromicro Conference on
Conference_Location :
Genova, Italy
ISSN :
1066-6192
Print_ISBN :
0-7695-1875-3
Type :
conf
DOI :
10.1109/EMPDP.2003.1183616
Filename :
1183616
Link To Document :
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