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Title: The Magellan Final Report on Cloud Computing

Abstract

The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also ablemore » to accomplish important production science utilizing the Magellan cloud resources.« less

Authors:
;
Publication Date:
Research Org.:
Lawrence Berkeley National Lab. (LBNL), Berkeley, CA (United States)
Sponsoring Org.:
National Energy Research Scientific Computing Division
OSTI Identifier:
1076794
Report Number(s):
LBNL-5376E
DOE Contract Number:  
DE-AC02-05CH11231
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English
Subject:
97 MATHEMATICS AND COMPUTING; Cloud Computing Magellan

Citation Formats

Coghlan, Susan, and Yelick, Katherine. The Magellan Final Report on Cloud Computing. United States: N. p., 2011. Web. doi:10.2172/1076794.
Coghlan, Susan, & Yelick, Katherine. The Magellan Final Report on Cloud Computing. United States. https://doi.org/10.2172/1076794
Coghlan, Susan, and Yelick, Katherine. 2011. "The Magellan Final Report on Cloud Computing". United States. https://doi.org/10.2172/1076794. https://www.osti.gov/servlets/purl/1076794.
@article{osti_1076794,
title = {The Magellan Final Report on Cloud Computing},
author = {Coghlan, Susan and Yelick, Katherine},
abstractNote = {The goal of Magellan, a project funded through the U.S. Department of Energy (DOE) Office of Advanced Scientific Computing Research (ASCR), was to investigate the potential role of cloud computing in addressing the computing needs for the DOE Office of Science (SC), particularly related to serving the needs of mid- range computing and future data-intensive computing workloads. A set of research questions was formed to probe various aspects of cloud computing from performance, usability, and cost. To address these questions, a distributed testbed infrastructure was deployed at the Argonne Leadership Computing Facility (ALCF) and the National Energy Research Scientific Computing Center (NERSC). The testbed was designed to be flexible and capable enough to explore a variety of computing models and hardware design points in order to understand the impact for various scientific applications. During the project, the testbed also served as a valuable resource to application scientists. Applications from a diverse set of projects such as MG-RAST (a metagenomics analysis server), the Joint Genome Institute, the STAR experiment at the Relativistic Heavy Ion Collider, and the Laser Interferometer Gravitational Wave Observatory (LIGO), were used by the Magellan project for benchmarking within the cloud, but the project teams were also able to accomplish important production science utilizing the Magellan cloud resources.},
doi = {10.2172/1076794},
url = {https://www.osti.gov/biblio/1076794}, journal = {},
number = ,
volume = ,
place = {United States},
year = {2011},
month = {12}
}