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Next-Generation Exascale Network Integrated Architecture for Global Science [Invited]

Newman, Harvey and Spiropulu, M. and Balcas, J. and Kcira, D. and Legrand, I. and Mughal, A. and Vlimant, J. R. and Voicu, R. (2017) Next-Generation Exascale Network Integrated Architecture for Global Science [Invited]. Journal of Optical Communications and Networking, 9 (2). A162-A169. ISSN 1943-0620. http://resolver.caltech.edu/CaltechAUTHORS:20170223-083235631

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Abstract

The next-generation exascale network integrated architecture (NGENIA-ES) is a project specifically designed to accomplish new levels of network and computing capabilities in support of global science collaborations through the development of a new class of intelligent, agile networked systems. Its path to success is built upon our ongoing developments in multiple areas, strong ties among our high energy physics, computer and network science, and engineering teams, and our close collaboration with key technology developers and providers deeply engaged in the national strategic computing initiative (NSCI). This paper describes the building of a new class of distributed systems, our work with the leadership computing facilities (LFCs), the use of software-defined networking (SDN) methods, and the use of data-driven methods for the scheduling and optimization of network resources. Sections I-III present the challenges of data-intensive research and the important ingredients of this ecosystem. Sections IV-VI describe some crucial elements of the foreseen solution and some of the progress so far. Sections VII-IX go into the details of orchestration, software-defined networking, and scheduling optimization. Finally, Section X talks about engagement and partnerships, and Section XI gives a summary. References are given at the end.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1364/JOCN.9.00A162DOIArticle
http://ieeexplore.ieee.org/document/7858120/PublisherArticle
ORCID:
AuthorORCID
Spiropulu, M.0000-0001-8172-7081
Kcira, D.0000-0002-8190-2414
Additional Information:© 2017 Optical Society of America. Manuscript received June 14, 2016; revised October 7, 2016; accepted October 12, 2016; published January 12, 2017 (Doc. ID 268190). The work presented in this paper was supported through the following projects from the U.S. Department of Energy (DOE): • OLiMPS, DOE/ASCR, DOE award #DE-SC0007346, • DOE/ASCR SDN NGenIA, project id 000219898, • SENSE, FNAL PO #626507 under DOE award #DEAC02-07CH11359, and from the National Science Foundation (NSF): • ANSE, NSF award #1246133, • CHOPIN, NSF award #1341024, • U.S. CMS Tier2, NSF award #1120138.
Funders:
Funding AgencyGrant Number
Department of Energy (DOE)DE-SC0007346
Department of Energy (DOE)000219898
Department of Energy (DOE)DE-AC02-07CH11359
NSFACI-1246133
NSFACI-1341024
NSFPHY-1120138
Subject Keywords:Distributed exascale computing; Grid computing; Large Hadron Collider; Software defined networking
Record Number:CaltechAUTHORS:20170223-083235631
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20170223-083235631
Official Citation:H. Newman et al., "Next-generation exascale network integrated architecture for global science [Invited]," in IEEE/OSA Journal of Optical Communications and Networking, vol. 9, no. 2, pp. A162-A169, Feb. 2017. doi: 10.1364/JOCN.9.00A162
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:74490
Collection:CaltechAUTHORS
Deposited By: Ruth Sustaita
Deposited On:23 Feb 2017 18:23
Last Modified:23 Feb 2017 18:23

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