Paper on BNLBox Cloud Storage Service

EDP Sciences has published, in EPJ Web of Conferences (Volume 245, 2020), an article written by Ofer Rind, Hironori Ito, Guangwei Che, Tim Chou, Robert Hancock, Mizuki Karasawa, Zhenping Liu, Ognian Novakov, Tejas Rao, Yingzi Wu, and Alexandr Zaytsev, Brookhaven National Laboratory, Physics Dept., P.O. Box 5000, Upton, NY 11973-5000, USA.

Abstract: “Large scientific data centers have recently begun providing a number of different types of data storage in order to satisfy the various needs of their users. Users with interactive accounts, for example, might want a POSIX interface for easy access to the data from their interactive machines. Grid computing sites, on the other hand, likely need to provide an X509-based storage protocol, like SRM and GridFTP, since the data management system is built upon them. Meanwhile, an experiment producing large amounts of data typically demands a service that provides archival storage for the safe keeping of their unique data. To access these various types of data, users must use specific sets of commands tailored to their respective storage, making access to their data complex and difficult. BNLBox is an attempt to provide a unified and easy to use storage service for all BNL users, to store their important documents, code and data. It is a cloud storage system with an intuitive web interface for novice users. It provides an automated synchronization feature that enables users to upload data to their cloud storage without manual intervention, freeing them to focus on analysis rather than data management software. It provides a POSIX interface for local interactive users, which simplifies data access from batch jobs as well. At the same time, it also provides users with a straightforward mechanism for archiving large data sets for later processing. The storage space can be used for both code and data within the compute job environment. This paper will describe various aspects of the BNLBox storage service.“

© The Authors, published by EDP Sciences, 2020
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