应用软件老化与再生特邀编辑专区

IF 5.1 2区 计算机科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS IEEE Transactions on Emerging Topics in Computing Pub Date : 2023-09-05 DOI:10.1109/TETC.2023.3299150
Michael Grottke;Alberto Avritzer;Hironori Washizaki;Kishor Trivedi
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引用次数: 0

摘要

自1995年Huang等人发表第一篇关于软件老化与返老返老的论文以来,这一主题得到了大量的研究。它处理的现象是,连续运行的软件系统可能会显示出越来越高的故障率和/或性能下降,这要么是因为错误条件在运行的系统中积累,要么是因为故障被激活和错误传播的速度与系统正常运行时间呈正相关。软件再生涉及对抗老化的技术(例如,通过定期停止和重新启动软件),以消除老化影响并主动防止故障发生。
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Guest Editorial Special Section on Applied Software Aging and Rejuvenation
Since the publication of the first paper on software aging and rejuvenation by Huang et al. in 1995 [1], considerable research has been devoted to this topic. It deals with the phenomenon that continuously-running software systems may show an increasing failure rate and/or a degrading performance, either because error conditions accumulate inside the running system or because the rate at which faults are activated and errors are propagated is positively correlated with system uptime. Software rejuvenation relates to techniques counteracting aging (for example, by regularly stopping and restarting the software) in order to remove aging effects and to proactively prevent failures from occurring.
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来源期刊
IEEE Transactions on Emerging Topics in Computing
IEEE Transactions on Emerging Topics in Computing Computer Science-Computer Science (miscellaneous)
CiteScore
12.10
自引率
5.10%
发文量
113
期刊介绍: IEEE Transactions on Emerging Topics in Computing publishes papers on emerging aspects of computer science, computing technology, and computing applications not currently covered by other IEEE Computer Society Transactions. Some examples of emerging topics in computing include: IT for Green, Synthetic and organic computing structures and systems, Advanced analytics, Social/occupational computing, Location-based/client computer systems, Morphic computer design, Electronic game systems, & Health-care IT.
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Table of Contents Front Cover IEEE Transactions on Emerging Topics in Computing Information for Authors Special Section on Emerging Social Computing DALTON - Deep Local Learning in SNNs via local Weights and Surrogate-Derivative Transfer
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