Work

Improving parallel data transfer times using predicted variances in shared networks

Year: 2005

Type: conference-paper

Source: IEEE/ACM International Symposium on Cluster, Cloud and Grid Computing (CCGrid)

DOI: 10.1109/ccgrid.2005.1558636

Authors: Lingyun Yang, J.M. Schopf, I. Foster

Institutions: University of Chicago, Argonne National Laboratory

Language: English

Topic: Distributed and Parallel Computing Systems

Subfield: Computer Networks and Communications

Field: Computer Science

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

Funders: National Science Foundation, Office of Science, Advanced Scientific Computing Research

OpenAlex ID: W2042301314

FWCI: 2.69

Cites: 22

Cited by: 24

Related to: 10