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.

© 2017 Optical Society of America

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