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arXiv · 2103.07978

Putting Data Science Pipelines on the Edge

Ali Akoglu·Genoveva Vargas-Solar
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Abstract

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.

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Ali Akoglu, Genoveva Vargas-Solar. 2021-03-14. Putting Data Science Pipelines on the Edge. https://arxiv.org/abs/2103.07978

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