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A biologically inspired programming model for self-healing systems

机译:受生物学启发的自我修复系统编程模型

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There is an increasing need for software systems to be able to adapt to changing conditions of resource variability, component malfunction and malicious intrusion. Such self-healing systems can prove extremely useful in situations where continuous service is critical or manual repair is not feasible. Human efforts to engineer self-healing systems have had limited success, but nature has developed extraordinary mechanisms for robustness and self-healing over billions of years. Nature's programs are encoded in DNA and exhibit remarkable density and expressiveness. We argue that the software engineering community can learn a great deal about building systems from the broader concepts surrounding biological cell programs and the strategies they use to robustly accomplish complex tasks such as development, healing and regeneration. We present a cell-based programming model inspired from biology and speculate on biologically inspired strategies for producing robust, scalable and self-healing software systems.
机译:越来越需要能够适应资源可变性,组件故障和恶意入侵的变化条件的软件系统。这样的自我修复系统在连续服务至关重要或手动维修不可行的情况下被证明非常有用。人类设计自我修复系统的努力取得了有限的成功,但是自然界发展了非凡的机制来实现数十亿年的健壮性和自我修复。大自然的程序是用DNA编码的,并具有非凡的密度和表达能力。我们认为,软件工程界可以从围绕生物细胞程序的广泛概念及其用于稳健完成复杂任务(例如开发,修复和再生)的策略中学习很多有关构建系统的知识。我们提出了一个受生物学启发的基于单元的编程模型,并推测了受生物学启发的策略,以产生强大,可扩展和自愈的软件系统。

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