The Role of Data Sharing and Distributed Storage in Research - Visions for the Future
Services for Science
Today’s science infrastructure comprises observatories and instrumentation, (super) computers, commercial cloud, and other resources of unprecedented power. New capabilities such as autonomous laboratories are on the horizon. It is now time to upscale science environments by deploying science services of comparable sophistication. I use examples from Globus and elsewhere to illustrate how such services can be constructed and used, and discuss lessons learned for scientific software architecture, dissemination, and sustainability.