Metrics and benchmarks for pervasive computing

被引：4
|
作者：
Satyanarayanan, M
机构：
[1] Carnegie Mellon University
来源：
IEEE PERVASIVE COMPUTING | 2005年 / 4卷 / 03期
关键词：
Benchmarking - Computational complexity - Metric system;
D O I：
10.1109/MPRV.2005.61
中图分类号：
TP [自动化技术、计算机技术];
学科分类号：
0812 ;
摘要：
Metrics for various aspects of pervasive computing and benchmarks that helps in comparing system with respect to these metrics are discussed. Pervasive computing, by its very nature, is about making computing invisible. Metrics and benchmarks stimulate competition by defining a framework for comparing the effectiveness of alternative approaches. Three challenges in quantifying pervasive computing are combining realism with reproducibility, its sheer complexity, and its multidisciplinary nature.
引用
收藏
页码：4 / 6
页数：3
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