Cross-institutional research cyberinfrastructure for data intensive science

W. Christopher Lenhardt; Mike Conway; Erik Scott; Brian Blanton; Ashok Krishnamurthy; Mirsad Hadzikadic; Mladen Vouk; Alyson Wilson

doi:10.1109/HPEC.2016.7761597

Cross-institutional research cyberinfrastructure for data intensive science

W. Christopher Lenhardt
, Mike Conway
, Erik Scott
, Brian Blanton
, Ashok Krishnamurthy
, Mirsad Hadzikadic
, Mladen Vouk
, Alyson Wilson

University of North Carolina at Chapel Hill
University of North Carolina at Charlotte
North Carolina State University

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

3 Scopus citations

Abstract

This paper describes a multi-institution effort to develop a 'data science as a service' platform. This platform integrates advanced federated data management for small to large datasets, access to high performance computing, distributed computing and advanced networking. The goal is to develop a platform that is flexible and extensible while still supporting domain research and avoiding the walled garden problem. Some preliminary lessons learned and next steps will also be outlined.

Original language	English
Title of host publication	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781509035250
DOIs	https://doi.org/10.1109/HPEC.2016.7761597
State	Published - Nov 28 2016
Externally published	Yes
Event	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 - Waltham, United States Duration: Sep 13 2016 → Sep 15 2016

Publication series

Name	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016

Conference

Conference	2016 IEEE High Performance Extreme Computing Conference, HPEC 2016
Country/Territory	United States
City	Waltham
Period	09/13/16 → 09/15/16

Keywords

analytics
big data and distributed computing
data intensive computing
distributed computing
distributed data
open system architectures
risk

Access to Document

10.1109/HPEC.2016.7761597

Cite this

Lenhardt, W. C., Conway, M., Scott, E., Blanton, B., Krishnamurthy, A., Hadzikadic, M., Vouk, M., & Wilson, A. (2016). Cross-institutional research cyberinfrastructure for data intensive science. In 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 Article 7761597 (2016 IEEE High Performance Extreme Computing Conference, HPEC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/HPEC.2016.7761597

@inproceedings{26d9470d1fc44eb29221e05f8ae1bff2,

title = "Cross-institutional research cyberinfrastructure for data intensive science",

abstract = "This paper describes a multi-institution effort to develop a 'data science as a service' platform. This platform integrates advanced federated data management for small to large datasets, access to high performance computing, distributed computing and advanced networking. The goal is to develop a platform that is flexible and extensible while still supporting domain research and avoiding the walled garden problem. Some preliminary lessons learned and next steps will also be outlined.",

keywords = "analytics, big data and distributed computing, data intensive computing, distributed computing, distributed data, open system architectures, risk",

author = "Lenhardt, \{W. Christopher\} and Mike Conway and Erik Scott and Brian Blanton and Ashok Krishnamurthy and Mirsad Hadzikadic and Mladen Vouk and Alyson Wilson",

note = "Publisher Copyright: {\textcopyright} 2016 IEEE.; 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016 ; Conference date: 13-09-2016 Through 15-09-2016",

year = "2016",

month = nov,

day = "28",

doi = "10.1109/HPEC.2016.7761597",

language = "English",

series = "2016 IEEE High Performance Extreme Computing Conference, HPEC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 IEEE High Performance Extreme Computing Conference, HPEC 2016",

address = "United States",

}

Lenhardt, WC, Conway, M, Scott, E, Blanton, B, Krishnamurthy, A, Hadzikadic, M, Vouk, M & Wilson, A 2016, Cross-institutional research cyberinfrastructure for data intensive science. in 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016., 7761597, 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016, Waltham, United States, 09/13/16. https://doi.org/10.1109/HPEC.2016.7761597

Cross-institutional research cyberinfrastructure for data intensive science. / Lenhardt, W. Christopher; Conway, Mike; Scott, Erik et al.
2016 IEEE High Performance Extreme Computing Conference, HPEC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7761597 (2016 IEEE High Performance Extreme Computing Conference, HPEC 2016).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

T1 - Cross-institutional research cyberinfrastructure for data intensive science

AU - Lenhardt, W. Christopher

AU - Conway, Mike

AU - Scott, Erik

AU - Blanton, Brian

AU - Krishnamurthy, Ashok

AU - Hadzikadic, Mirsad

AU - Vouk, Mladen

AU - Wilson, Alyson

PY - 2016/11/28

Y1 - 2016/11/28

N2 - This paper describes a multi-institution effort to develop a 'data science as a service' platform. This platform integrates advanced federated data management for small to large datasets, access to high performance computing, distributed computing and advanced networking. The goal is to develop a platform that is flexible and extensible while still supporting domain research and avoiding the walled garden problem. Some preliminary lessons learned and next steps will also be outlined.

AB - This paper describes a multi-institution effort to develop a 'data science as a service' platform. This platform integrates advanced federated data management for small to large datasets, access to high performance computing, distributed computing and advanced networking. The goal is to develop a platform that is flexible and extensible while still supporting domain research and avoiding the walled garden problem. Some preliminary lessons learned and next steps will also be outlined.

KW - analytics

KW - big data and distributed computing

KW - data intensive computing

KW - distributed computing

KW - distributed data

KW - open system architectures

KW - risk

UR - https://www.scopus.com/pages/publications/85007039815

U2 - 10.1109/HPEC.2016.7761597

DO - 10.1109/HPEC.2016.7761597

M3 - Conference contribution

AN - SCOPUS:85007039815

T3 - 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016

BT - 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016

Y2 - 13 September 2016 through 15 September 2016

ER -

Lenhardt WC, Conway M, Scott E, Blanton B, Krishnamurthy A, Hadzikadic M et al. Cross-institutional research cyberinfrastructure for data intensive science. In 2016 IEEE High Performance Extreme Computing Conference, HPEC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7761597. (2016 IEEE High Performance Extreme Computing Conference, HPEC 2016). doi: 10.1109/HPEC.2016.7761597

Cross-institutional research cyberinfrastructure for data intensive science

Abstract

Publication series

Conference

Keywords

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