Abstract
Advanced networking technologies and services have been rapidly developed and deployed to facilitate bulk data transfer so as to support next-generation eScience applications. However, these technologies and services have not been fully utilized due to the knowledge lack of scientific domain experts. By leveraging the functionalities of an existing data movement advising utility, we propose a new Workflow-based Intelligent Network Data Movement Advisor (WINDMA) with end-to-end performance optimization. WINDMA provides a web interface and interacts with existing data/space management and discovery services such as Storage Resource Management, transport methods such as GridFTP and GlobusOnline, and network resource provisioning brokers such as ION and OSCARS. Efficacy of WINDMA has been demonstrated in several use cases based on its implementation and deployment in wide-area networks.
Original language | English |
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Title of host publication | 2012 IEEE 31st International Performance Computing and Communications Conference, IPCCC 2012 |
Pages | 181-182 |
Number of pages | 2 |
DOIs | |
State | Published - 1 Dec 2012 |
Event | 2012 IEEE 31st International Performance Computing and Communications Conference, IPCCC 2012 - Austin, TX, United States Duration: 1 Dec 2012 → 3 Dec 2012 |
Other
Other | 2012 IEEE 31st International Performance Computing and Communications Conference, IPCCC 2012 |
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Country/Territory | United States |
City | Austin, TX |
Period | 1/12/12 → 3/12/12 |
Keywords
- eScience applications
- High-performance networks
- large data transfer