Distributed Systems

By 1988 the Internet had enabled building distributed “virtual” computers, by connecting different architectures of computers, large distributed data stores, visualization devices, and scientific instruments, forming what I termed “Metacomputers” or later “The Grid.” This led me in 1997 to submit an NSF proposal ‘The National Computational Science Alliance, which was funded, creating a nationwide set of campuses linked together by the NSF’s vBNS network. My 2002 OptIPuter NSF grant demonstrated that the wide-area bandwidth could be as fast as the backplane of a cluster, essentially eliminating distance for collaborative Big Data scientific research. This was followed by two NSF grants, Quartzite (2004) and Prism (2013), which demonstrated how to create high-speed “Big Data Freeways” on university campuses. The 2008 NSF GreenLight grant enabled us to research how such systems can be made energy-efficient. In 2015, the NSF funded the Pacific Research Platform (PRP) grant to interconnect several dozen of these campus systems, built on four Regional Optical Networks (RONs: CENIC, PNWGP, FRGP, and MREN), enabling researchers to quickly move data between collaborators labs, supercomputer centers, instruments, and data repositories. The distributed PRP, driven by dozens of science and engineering applications, creates a metacomputer that allows the data to traverse multiple, heterogeneous networks with minimal performance degradation. Machine learning was added to the PRP in 2017 when NSF funded the Cognitive Hardware and Software Ecosystem Community Infrastructure (CHASE-CI) grant. In 2018, NSF funded Toward the National Research Platform (TNRP) to extend the PRP across the country by federating with four midwestern/eastern RONs and Internet2. In 2023, the PRP was renamed the National Research Platform, led by SDSC Director Frank Wuerthwein. Beyond the United States, throughout the last decade, networked collaboration with our international partners (Australia, Brazil, Chile, Japan, Korea, Mexico, Netherlands, Singapore, & Taiwan) has been essential for continued innovation.

An Evolution Toward A Programmable Universe – The New York Times

An Evolution Toward A Programmable Universe – The New York Times

Using this data, the planetary computer will be able to build a computational model of your body and compare your sensor stream with millions of others. Besides providing early detection of internal changes that could lead to disease, cloud-powered voice-recognition wellness coaches could provide continual personalized support on lifestyle choices, potentially staving off disease
The OptIPuter And Its Applications – IEEE LEOS

The OptIPuter And Its Applications – IEEE LEOS

IEEE Lasers and Electro-Optics Society (LEOS) Summer 2009 Topical Meeting on Future Global Networks, July 22, 2009, pp. 151-152 Abstract The NSF-funded OptIPuter project [see www.optiputer.net and special issue of Future Generation Computer Systems (FGCS), Volume 25, Issue 2, February 2009] has been exploring for the last six years how user-controlled 10Gbps dedicated lightpaths (lambdas) […]

OptIPuter-A High Performance SOA LambdaGrid Enabling Scientific Applications

IEEE Computer Society Tsutomu Kanai Award Keynote At the Joint Meeting of the: 8th International Symposium on Autonomous Decentralized Systems 2nd International Workshop on Ad Hoc, Sensor and P2P Networks 11th IEEE International Workshop on Future Trends of Distributed Computing Systems.