论文标题
避免，邻接和分布式系统设计中的关联
Avoidance, Adjacency, and Association in Distributed Systems Design
论文作者
论文摘要
复杂系统设计中的回避，邻接和关联模式从系统的基本逻辑体系结构（组件之间的功能关系）和物理体系结构（组件物理属性和空间位置）中出现。了解产生安排模式的物理 - 逻辑架构相互作用需要一种定量方法，可以弥合这两个描述。在这里，我们表明统计物理学揭示了跨复杂的，分布式系统设计解决方案集的回避，邻接和关联的模式。使用示例布置问题和张量网络方法，我们确定了复杂系统设计中的几种现象，包括放置对称性破坏，传播相关性和新兴定位。我们的方法直接概括到广泛的复杂系统设计设置，在该设置可以为研究基本设计现象提供平台。
Patterns of avoidance, adjacency, and association in complex systems design emerge from the system's underlying logical architecture (functional relationships among components) and physical architecture (component physical properties and spatial location). Understanding the physical--logical architecture interplay that gives rise to patterns of arrangement requires a quantitative approach that bridges both descriptions. Here, we show that statistical physics reveals patterns of avoidance, adjacency, and association across sets of complex, distributed system design solutions. Using an example arrangement problem and tensor network methods, we identify several phenomena in complex systems design, including placement symmetry breaking, propagating correlation, and emergent localization. Our approach generalizes straightforwardly to a broad range of complex systems design settings where it can provide a platform for investigating basic design phenomena.
