Proceedings of the 2001 ACM/IEEE conference on Supercomputing
Error Scope on a Computational Grid: Theory and Practice
HPDC '02 Proceedings of the 11th IEEE International Symposium on High Performance Distributed Computing
MSS '01 Proceedings of the Eighteenth IEEE Symposium on Mass Storage Systems and Technologies
Grid Computing: Making the Global Infrastructure a Reality
Grid Computing: Making the Global Infrastructure a Reality
Stork: Making Data Placement a First Class Citizen in the Grid
ICDCS '04 Proceedings of the 24th International Conference on Distributed Computing Systems (ICDCS'04)
Phoenix: Making Data-Intensive Grid Applications Fault-Tolerant
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
The Globus Striped GridFTP Framework and Server
SC '05 Proceedings of the 2005 ACM/IEEE conference on Supercomputing
Queue - Performance
Data placement in widely distributed systems
Data placement in widely distributed systems
Dynamic instrumentation of production systems
ATEC '04 Proceedings of the annual conference on USENIX Annual Technical Conference
Two-Phase Computation and Data Scheduling Algorithms for Workflows in the Grid
ICPP '07 Proceedings of the 2007 International Conference on Parallel Processing
Dynamically tuning level of parallelism in wide area data transfers
DADC '08 Proceedings of the 2008 international workshop on Data-aware distributed computing
A new paradigm: Data-aware scheduling in grid computing
Future Generation Computer Systems
Troubleshooting thousands of jobs on production grids using data mining techniques
GRID '08 Proceedings of the 2008 9th IEEE/ACM International Conference on Grid Computing
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Data transfer in distributed environment is prone to frequent failures resulting from back-end system level problems, like connectivity failure which is technically untraceable by users. Error messages are not logged efficiently, and sometimes are not relevant/useful from users' point-of-view. Our study explores the possibility of efficient error detection and reporting system for such environments. Prior knowledge about the environment and awareness of the actual reason behind a failure would enable higher level planners to make better and accurate decisions. It is necessary to have well defined error detection and error reporting methods to increase the usability and serviceability of existing data transfer protocols and data management systems. We investigate the applicability of early error detection and error classification techniques and propose an error reporting framework and a failure-aware data transfer life cycle to improve arrangement of data transfer operations and to enhance decision making of data transfer schedulers.