This paper proposes a composable "Just in Time Architecture" for Data Science (DS) Pipelines named JITA-4DS and associated resource management techniques for configuring disaggregated data centers (DCs). DCs under our approach are composable based on vertical integration of the application, middleware/operating system, and hardware layers customized dynamically to meet application Service Level Objectives (SLO - application-aware management). Thereby, pipelines utilize a set of flexible building blocks that can be dynamically and automatically assembled and re-assembled to meet the dynamic changes in the workload's SLOs. To assess disaggregated DC's, we study how to model and validate their performance in large-scale settings.

翻译：本文件提出了数据科学(DS)管道的“仅仅在时间结构中”可作成的“JITA-4DS”及相关的分类数据中心配置资源管理技术。根据我们的方法,发展中国家可以根据应用程序的纵向整合、中间软件/操作系统以及硬件层动态定制,实现应用服务级目标(SLO-应用程序认知管理)。因此,管道使用一套灵活的构件,能够动态和自动地组装和重新组装,以适应工作量SLO的动态变化。为了评估分解的DC,我们研究如何模拟和验证其在大型环境中的绩效。