Fuzzy Self-Adaptation of Mission-Critical Software Under Uncertainty
Fuzzy Self-Adaptation of Mission-Critical Software Under Uncertainty
复制标题
不确定性下关键任务软件的模糊自适应
DOI：
10.1007/s11390-013-1321-9
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发表时间：
2013-02
影响因子：
0.7
通讯作者：
Wei Song
中科院分区：
文献类型：
--
作者：
Qi-Liang Yang;Jian Lu;Xianping Tao;Xiao-Xing Ma;Jian-Chun Xing;Wei Song
关键任务软件（MCS）必须提供连续的在线服务，以确保成功完成关键任务。自我适应在确保服务质量（QoS）和MC的可用性方面尤其值得
Mission-critical software (MCS) must provide continuous, online services to ensure the successful accomplishment of critical missions. Self-adaptation is particularly desirable for assuring the quality of service (QoS) and availability of MCS under uncertainty. Few techniques have insofar addressed the issue of MCS self-adaptation, and most existing approaches to software self-adaptation fail to take into account uncertainty in the self-adaptation loop. To tackle this problem, we propose a fuzzy control based approach, i.e., Software Fuzzy Self-Adaptation (SFSA), with a view to deal with the challenge of MCS self-adaptation under uncertainty. First, we present the SFSA conceptual framework, consisting of sensing, deciding and acting stages, and establish the formal model of SFSA to lay a rigorous and mathematical foundation of our approach. Second, we develop a novel SFSA implementation technology as well as its supporting tool, i.e., the SFSA toolkit, to automate the realization process of SFSA. Finally, we demonstrate the effectiveness of our approach through the development of an adaptive MCS application in process control systems. Validation experiments show that the fuzzy control based approach proposed in this work is effective and with low overheads.
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DOI：
10.1109/5254.769885
发表时间：
1999-05
期刊：
IEEE Intell. Syst.
影响因子：
--
作者：
P. Oreizy;M. Gorlick;R. Taylor;D. Heimhigner;G. F. Johnson;N. Medvidović;A. Quilici;David S. Rosenblum-David
通讯作者：
P. Oreizy;M. Gorlick;R. Taylor;D. Heimhigner;G. F. Johnson;N. Medvidović;A. Quilici;David S. Rosenblum-David
影响因子：
--
作者：
ZADEH, LA
通讯作者：
ZADEH, LA
DOI：
10.1109/fose.2007.19
发表时间：
2007-05
期刊：
Future of Software Engineering (FOSE '07)
影响因子：
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作者：
J. Kramer;J. Magee
通讯作者：
J. Kramer;J. Magee
DOI：
10.1049/pbpo161e_ch3
发表时间：
2021-07
期刊：
Artificial Intelligence for Smarter Power Systems: Fuzzy logic and neural networks
影响因子：
--
作者：
通讯作者：
--
DOI：
10.1145/1326561.1326569
发表时间：
2008-03
期刊：
ACM Trans. Web
影响因子：
--
作者：
D. Gmach;Stefan Krompass;A. Scholz;Martin Wimmer;A. Kemper
通讯作者：
D. Gmach;Stefan Krompass;A. Scholz;Martin Wimmer;A. Kemper