终身计算
Lifelong Computing
摘要：
计算系统构成了我们生活的许多方面的支柱，因此它们正在成为我们社会的水，电和道路基础设施。然而，工程长时间运行的计算系统，实现他们的目标，在不断变化的环境提出了重大挑战。目前，我们可以构建计算系统，随着时间的推移进行调整或学习，以匹配预期的变化。然而，处理意外的变化，如异常，新奇，新的目标或限制，需要系统的演变，这仍然是一个本质上是人为驱动的活动。考虑到计算系统的复杂性不断增加，以及需要处理大量高度复杂的数据，这种方法最终将变得难以管理。为了突破这一现状，我们提出了一种新的计算系统设计和运行模式，即“终身计算”。“这种模式始于整合计算/服务模块和学习模块的计算学习系统。计算仓库提供这样的计算元素以及数据表和使用指南。当检测到异常、新颖性、新目标或约束时，终身计算系统激活进化自学习引擎，该进化自学习引擎运行在线实验以确定计算学习系统需要如何进化以应对变化，从而改变其架构并根据需要从计算仓库集成新的计算元件。根据手头的领域，终身计算系统的一些活动可以由人类支持。我们激励终身计算的需要与未来的养鱼场景，勾勒出终身计算系统的蓝图架构，并强调关键的研究挑战，以实现终身计算的愿景。
英文摘要：
Computing systems form the backbone of many aspects of our life, hence they are becoming as vital as water, electricity, and road infrastructures for our society. Yet, engineering long running computing systems that achieve their goals in ever-changing environments pose significant challenges. Currently, we can build computing systems that adjust or learn over time to match changes that were anticipated. However, dealing with unanticipated changes, such as anomalies, novelties, new goals or constraints, requires system evolution, which remains in essence a human-driven activity. Given the growing complexity of computing systems and the vast amount of highly complex data to process, this approach will eventually become unmanageable. To break through the status quo, we put forward a new paradigm for the design and operation of computing systems that we coin "lifelong computing." The paradigm starts from computing-learning systems that integrate computing/service modules and learning modules. Computing warehouses offer such computing elements together with data sheets and usage guides. When detecting anomalies, novelties, new goals or constraints, a lifelong computing system activates an evolutionary self-learning engine that runs online experiments to determine how the computing-learning system needs to evolve to deal with the changes, thereby changing its architecture and integrating new computing elements from computing warehouses as needed. Depending on the domain at hand, some activities of lifelong computing systems can be supported by humans. We motivate the need for lifelong computing with a future fish farming scenario, outline a blueprint architecture for lifelong computing systems, and highlight key research challenges to realise the vision of lifelong computing.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
