Authors: Salomoni D., Campos I., Gaido L., de Lucas J. M., Solagna P., Gomes J., Matyska L., Fuhrman P., Hardt M., Donvito G., Dutka L., Plociennik M., Barbera R., Blanquer I., Ceccanti A., Cetinic E., David M., Duma C., Lopez-Garcia A., Molto G., Orviz P., Sustr Z., Viljoen M., Aguilar F., Alves L., Antonacci M., Antonelli L. A., Bagnasco S., Bonvin A. M. J. J., Bruno R., Chen Y., Costa A., Davidovic D., Ertl B., Fargetta M., Fiore S., Gallozzi S., Kurkcuoglu Z., Lloret L., Martins J., Nuzzo A., Nassisi P., Palazzo C., Pina J., Sciacca E., Spiga D., Tangaro M., Urbaniak M., Vallero S., Wegh B., Zaccolo V., Zambelli F., Zok T.

Venue: Journal of Grid Computing

Type: Publication

Abstract: This paper describes the achievements of the H2020 project INDIGO-DataCloud. The project has provided e-infrastructures with tools, applications and cloud framework enhancements to manage the demanding requirements of scientific communities, either locally or through enhanced interfaces. The middleware developed allows to federate hybrid resources, to easily write, port and run scientific applications to the cloud. In particular, we have extended existing PaaS (Platform as a Service) solutions, allowing public and private e-infrastructures, inc... (read more)

DOI: 10.3204/pubdb-2019-00745 (Found 3 versions)