  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.
