Due to the unprecedented development of low-latency interconnect technology, building large-scale disaggregated architecture is drawing more and more attention from both industry and academia. Resource disaggregation is a new way to organize the hardware resources of datacenters, and has the potential to overcome the limitations, e.g., low resource utilization and low reliability, of conventional datacenters. However, the emerging disaggregated architecture brings severe performance and latency problems to the existing cloud systems. In this paper, we take memory disaggregation as an example to demonstrate the unique challenges that the disaggregated datacenter poses to the existing cloud software stacks, e.g., programming interface, language runtime, and operating system, and further discuss the possible ways to reinvent the cloud systems.

由于低延迟互连技术的空前发展，构建大规模分解架构越来越受到工业界和学术界的关注。资源分解是一种组织数据中心硬件资源的新方式，有可能克服传统数据中心资源利用率低、可靠性低等限制。然而，新兴的分解架构给现有云系统带来了严重的性能和延迟问题。在本文中，我们以内存分解为例，展示分解的数据中心对现有云软件堆栈（例如编程接口、语言运行时和操作系统）带来的独特挑战，并进一步讨论重塑云的可能方法系统。