Zobrazeno 1 - 10
of 182
pro vyhledávání: '"Dennis Gannon"'
Publikováno v:
Communications of the ACM. 66:82-90
An examination of how the technology landscape has changed and possible future directions for HPC operations and innovation.
Publikováno v:
IEEE Cloud Computing. 4:16-21
The term “cloud-native” refers to a set of technologies and design patterns that have become the standard for building large-scale cloud applications. In this editorial we describe basic properties of successful cloud applications including dynam
Autor:
Cornelia Davis, Sebastien Goasguen, Dan Kohn, Neel Sundaresan, Balan Subramanian, Roger Shane Barga, Niklas Gustaffson, Dennis Gannon
Publikováno v:
IEEE Cloud Computing. 4:50-54
During the spring and summer of 2017, the guest editors of this special issue conducted an asynchronous panel discussion among several experts concerning the nature of cloud-native applications.
Autor:
Dennis Gannon
Publikováno v:
eScience
This paper was solicited as a "vision" talk for the 2019 eScience conference. It is based on my assessment of the role AI will have on eScience in the years ahead. While machine learning methods are already being well integrated into computing practi
Autor:
Michael Goul, Ernesto Damiani, Dennis Gannon, Peter M. Chen, Frank Leymann, Hong Mei, Ian Foster, Stephen S. Yau, Rong N. Chang, Elisa Bertino
Publikováno v:
2019 IEEE International Conference on Edge Computing (EDGE).
The National Flood Interoperability Experiment (NFIE) is research initiative among government, academia, and industry to help demonstrate the next generation of national flood hydrology modeling to enable early warning systems and emergency response.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::183f6ce899b9ca2a4ae2c971dd081774
https://doi.org/10.1016/b978-0-12-803192-6.00012-8
https://doi.org/10.1016/b978-0-12-803192-6.00012-8
Autor:
Judy Qiu, Dennis Gannon
Publikováno v:
Distributed and Parallel Databases. 30:303-306
Data-intensive science is enabled by the data deluge and has been called the “fourth paradigm” of scientific discovery. New fields are being born, such as drug discovery based on large scale study of correlations in published papers and climate i
Publikováno v:
Journal of Parallel and Distributed Computing. 71:343-353
Deadline-sensitive workflows require careful coordination of user constraints with resource availability. Current distributed resource access models provide varying degrees of resource control: from limited or none in grid batch systems to explicit i
Publikováno v:
IEEE Internet Computing. 15:72-75
Extending the capabilities of PC, Web, and mobile applications through on-demand cloud services will significantly broaden the research community's capabilities, accelerating the pace of engineering and scientific discovery in this age of data-driven
Publikováno v:
Future Generation Computer Systems. 25:528-540
Scientific workflow systems have become a necessary tool for many applications, enabling the composition and execution of complex analysis on distributed resources. Today there are many workflow systems, often with overlapping functionality. A key is