DocumentCode :
1417161
Title :
Heterogeneous system performance prediction and analysis using PS
Author :
Aversa, Rocco ; Mazzeo, Antonino ; Mazzocca, Nicola ; Villano, Umberto
Author_Institution :
Dept. of Inf. Eng., Second Univ. of Naples, Italy
Volume :
6
Issue :
3
fYear :
1998
Firstpage :
20
Lastpage :
29
Abstract :
PS (PVM simulator), is a simulator of PVM programs which lets users conduct performance prediction and analysis of distributed applications executed in heterogeneous and network computing environments. The article describes the tool and its development environment. As a prediction tool, the PS simulator lets developers obtain extrapolated performance data by estimating the behavior that a parallel application would attain on different types of architectures from traces collected on a workstation or on a scaled down distributed environment. As an analysis tool, it lets developers collect aggregate and analytical indexes related to heterogeneous system performance (such as efficiency, throughput, response time, and individual processor utilization) or traces that can be processed offline by a variety of tools for performance visualization and analysis (such as ParaGraph). It also lets users evaluate the effect of such factors as time spent in blocks of code, processor speed, network latency, and bandwidth on the overall application performance
Keywords :
computer networks; parallel programming; software performance evaluation; virtual machines; PS; PVM programs; PVM simulator; ParaGraph; analytical indexes; development environment; distributed applications; extrapolated performance data; heterogeneous system performance; heterogeneous system performance prediction; individual processor utilization; network computing environments; network latency; overall application performance; performance visualization; processor speed; scaled down distributed environment; workstation; Analytical models; Computational modeling; Computer architecture; Computer networks; Delay; Distributed computing; Performance analysis; Predictive models; System performance; Workstations;
fLanguage :
English
Journal_Title :
Concurrency, IEEE
Publisher :
ieee
ISSN :
1092-3063
Type :
jour
DOI :
10.1109/4434.708252
Filename :
708252
Link To Document :
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