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arXiv · 2009.03190

Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage

Zhengchun Liu·Rajkumar Kettimuthu·Joaquin Chung·Rachana Ananthakrishnan·Michael Link·Ian Foster
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Abstract

Modern science and engineering computing environments often feature storage systems of different types, from parallel file systems in high-performance computing centers to object stores operated by cloud providers. To enable easy, reliable, secure, and performant data exchange among these different systems, we propose Connector, a pluggable data access architecture for diverse, distributed storage. By abstracting low-level storage system details, this abstraction permits a managed data transfer service (Globus in our case) to interact with a large and easily extended set of storage systems. Equally important, it supports third-party transfers: that is, direct data transfers from source to destination that are initiated by a third-party client but do not engage that third party in the data path. The abstraction also enables management of transfers for performance optimization, error handling, and end-to-end integrity. We present the Connector design, describe implementations for different storage services, evaluate tradeoffs inherent in managed vs.\ direct transfers, motivate recommended deployment options, and propose a performance model-based method that allows for easy characterization of performance in different contexts without exhaustive benchmarking.

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Zhengchun Liu, Rajkumar Kettimuthu, Joaquin Chung, Rachana Ananthakrishnan, Michael Link, Ian Foster. 2020-09-07. Design and Evaluation of a Simple Data Interface for Efficient Data Transfer Across Diverse Storage. https://doi.org/10.1145/3452007

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