In this paper we describe the design, and implementation of the Open Science Data Cloud, or OSDC. The goal of the OSDC is to provide petabyte-scale data cloud infrastructure and related services for scientists working with large quantities of data. Currently, the OSDC consists of more than 2000 cores and 2 PB of storage distributed across four data centers connected by 10G networks. We discuss some of the lessons learned during the past three years of operation and describe the software stacks used in the OSDC. We also describe some of the research projects in biology, the earth sciences, and social sciences enabled by the OSDC.
@article{arxiv.1601.00323,
title = {The Design of a Community Science Cloud: The Open Science Data Cloud Perspective},
author = {Robert L. Grossman and Matthew Greenway and Allison P. Heath and Ray Powell and Rafael D. Suarez and Walt Wells and Kevin White and Malcolm Atkinson and Iraklis Klampanos and Heidi L. Alvarez and Christine Harvey and Joe J. Mambretti},
journal= {arXiv preprint arXiv:1601.00323},
year = {2016}
}