DocumentCode :
413104
Title :
DGMonitor: a performance monitoring tool for sandbox-based desktop grid platforms
Author :
Cicotti, P. ; Taufer, M. ; Chien, A.
Author_Institution :
Dept. of Comput. Sci. & Eng., California Univ., San Diego, CA, USA
fYear :
2004
fDate :
26-30 April 2004
Firstpage :
246
Abstract :
Summary form only given. Accurate, continuous resource monitoring and profiling are critical for enabling performance tuning and scheduling optimization. In desktop grid systems that employ sandboxing, these issues are challenging because (1) subjobs inside sandboxes are executed in a virtual computing environment and (2) the state of the virtual computing environment within the sandboxes is reset to empty after each subjob completes. DGMonitor is a monitoring tool, which builds a global, accurate, and continuous view of real resource utilization for desktop grids with sandboxing. Our monitoring tool measures performance unobtrusively and reliably, uses a simple performance data model, and is easy to use. Our measurements demonstrate that DGMonitor can scale to large desktop grids (up to 12000 workers) with low monitoring overhead in terms of resource consumption (less than 0.1%) on desktop PCs. Though we developed DGMonitor with the Entropia DCGrid platform, our tool is easily integrated into other desktop grid systems. In all of these systems, DGMonitor data can support existing and novel information services, particularly for performance tuning and scheduling.
Keywords :
computerised monitoring; grid computing; performance evaluation; resource allocation; scheduling; DGMonitor performance monitoring tool; Entropia DCGrid platform; desktop PC; distributed computing; performance measurement; performance tuning; resource monitoring; resource profiling; resource utilization; sandbox-based desktop grid platforms; scheduling optimization; virtual computing environment; Availability; Computer applications; Computerized monitoring; Data models; Distributed computing; Grid computing; High performance computing; Personal communication networks; Processor scheduling; Resource management;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Parallel and Distributed Processing Symposium, 2004. Proceedings. 18th International
Print_ISBN :
0-7695-2132-0
Type :
conf
DOI :
10.1109/IPDPS.2004.1303303
Filename :
1303303
Link To Document :
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