DEVise: integrated querying and visual exploration of large datasets
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
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)
Explicit control a batch-aware distributed file system
NSDI'04 Proceedings of the 1st conference on Symposium on Networked Systems Design and Implementation - Volume 1
Phoenix: Making Data-Intensive Grid Applications Fault-Tolerant
GRID '04 Proceedings of the 5th IEEE/ACM International Workshop on Grid Computing
Dynamic partner identification in mobile agent-based distributed job workflow execution
Journal of Parallel and Distributed Computing
Intelligent data staging with overlapped execution of grid applications
Future Generation Computer Systems
A grid-enabled workflow system for reservoir uncertainty analysis
CLADE '08 Proceedings of the 6th international workshop on Challenges of large applications in distributed environments
Multi-Replication with Intelligent Staging in Data-Intensive Grid Applications
GRID '06 Proceedings of the 7th IEEE/ACM International Conference on Grid Computing
Faults in large distributed systems and what we can do about them
Euro-Par'05 Proceedings of the 11th international Euro-Par conference on Parallel Processing
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Different fields including biomedical-engineering, educational research and geology have an increasing need to process large amounts of video and make them electronically available at different locations. So far, this has been a failure-prone tedious operation with an operator needed to babysit the processing and off-site replication of processed video. In this work, we developed a fault-tolerant system that handles large scale processing and replication of digital video in a fully automated manner. The system is highly resilient and handles a variety of hardware, software and network failures making it possible to process videos using commodity clusters or grid resources. Finally, we discuss how the system is being used in educational research to process several hundred terabytes of video.