论文信息 - Data-intensive e-science frontier research - 字舞流文

Data-intensive e-science frontier research

Large-scale e-science, including high-energy and nuclear physics, biomedical informatics, and Earth science, depend on an increasingly integrated, distributed cyberinfrastructure serving virtual organizations on a global scale.

Mark H. Ellisman | John A. Orcutt | Harvey Newman

[1] Fernando Paganini,et al. Fast kernel: Background theory and experimental results , 2003 .

[2] Harvey B Newman,et al. Data‐Intensive Grids for High‐Energy Physics , 2003 .

[3] Shinji Shimojo,et al. Global Telescience featuring IPv6 at iGrid2002 , 2003, Future Gener. Comput. Syst..

[4] Daniel Atkins,et al. Revolutionizing Science and Engineering Through Cyberinfrastructure: Report of the National Science Foundation Blue-Ribbon Advisory Panel on Cyberinfrastructure , 2003 .

[5] Harvey B Newman,et al. A Self-Organizing Neural Network for Job Scheduling in Distributed Systems , 2002 .

[6] Steven H. Low,et al. A duality model of TCP and queue management algorithms , 2003, TNET.

[7] Harvey B Newman,et al. A Distributed Agent-based Architecture for Dynamic Services , 2001 .

[8] Bogdan Morariu,et al. Poisson Chern-Simons gauge theory , 2001, hep-th/0107267.

[9] Francine Berman,et al. Grid Computing: Making the Global Infrastructure a Reality , 2003 .