Analyzing Resource-Usage Impact on Component-Based Systems Performance and Reliability

被引：0
|
作者：
Causevic, Aida [1 ]
Pettersson, Paul [1 ]
Seceleanu, Cristina [1 ]
机构：
[1] Malardalen Univ, MRTC, S-72215 Vasteras, Sweden
来源：
2008 INTERNATIONAL CONFERENCE ON COMPUTATIONAL INTELLIGENCE FOR MODELLING CONTROL & AUTOMATION, VOLS 1 AND 2 | 2008年
关键词：
D O I：
10.1109/CIMCA.2008.190
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
An early prediction of resource utilization and its impact on system performance and reliability can reduce the overall system cost, by allowing early correction of detected problems, or changes in development plans with minimized overhead. Nowadays, researchers are using both academic and commercial models to predict such attributes, by measuring them at earliest stages of system development. In this paper, we give a short overview of existing prediction models for performance and reliability, targeting popular component-based frameworks. Next, we describe our own approach for tackling such predictions, through an illustration on a small example that deals with estimations of energy consumption.
引用
收藏
页码：302 / 308
页数：7
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