A Workflow-Based Network Advisor for Data Movement with End-to-End Performance Optimization
Next-generation eScience applications often generate large amounts of simulation, experimental, or observational data that must be shared and managed by collaborative organizations. Advanced networking technologies and services have been rapidly developed and deployed to facilitate such massive data transfer. However, these technologies and services have not been fully utilized mainly because their use typically requires significant system-And network-related domain knowledge that most appli-cation users lack, and in many cases users may even not be aware of their existence. 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 integrates three major components: resource discovery, data movement, and status monitoring, and supports the sharing of common data movement workflows through account and database man-Agement. This system 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. We demonstrate the efficacy of the proposed transport-support WINDMA system in several use cases based on its implementation and deployment in wide-Area networks.
MSU Digital Commons Citation
Brown, Patrick; Zhu, Michelle; Wu, Qishi; Yun, Daqing; and Zurawski, Jason, "A Workflow-Based Network Advisor for Data Movement with End-to-End Performance Optimization" (2012). Department of Computer Science Faculty Scholarship and Creative Works. 77.