Automated control of multiple software goals using multiple actuators

M. Maggio, A. Papadopoulos, A. Filieri, H. Hoffmann
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引用次数: 42

Abstract

Modern software should satisfy multiple goals simultaneously: it should provide predictable performance, be robust to failures, handle peak loads and deal seamlessly with unexpected conditions and changes in the execution environment. For this to happen, software designs should account for the possibility of runtime changes and provide formal guarantees of the software's behavior. Control theory is one of the possible design drivers for runtime adaptation, but adopting control theoretic principles often requires additional, specialized knowledge. To overcome this limitation, automated methodologies have been proposed to extract the necessary information from experimental data and design a control system for runtime adaptation. These proposals, however, only process one goal at a time, creating a chain of controllers. In this paper, we propose and evaluate the first automated strategy that takes into account multiple goals without separating them into multiple control strategies. Avoiding the separation allows us to tackle a larger class of problems and provide stronger guarantees. We test our methodology's generality with three case studies that demonstrate its broad applicability in meeting performance, reliability, quality, security, and energy goals despite environmental or requirements changes.
使用多个执行器实现多个软件目标的自动化控制
现代软件应该同时满足多个目标:它应该提供可预测的性能、对故障的健壮性、处理峰值负载以及无缝地处理执行环境中的意外条件和变化。为了实现这一点,软件设计应该考虑到运行时变化的可能性,并提供对软件行为的正式保证。控制理论是运行时适应性的可能设计驱动因素之一,但采用控制理论原理通常需要额外的专业知识。为了克服这一限制,人们提出了自动化方法,从实验数据中提取必要的信息,并设计一个运行时适应的控制系统。然而,这些建议一次只能处理一个目标,从而创建了一个控制器链。在本文中,我们提出并评估了第一个考虑多个目标而不将它们分离为多个控制策略的自动化策略。避免分离使我们能够处理更多种类的问题,并提供更强有力的保障。我们用三个案例研究来测试我们的方法的通用性,证明了它在满足性能、可靠性、质量、安全性和能源目标方面的广泛适用性,尽管环境或需求发生了变化。
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