Analysis and simulation of a fair queueing algorithm
SIGCOMM '89 Symposium proceedings on Communications architectures & protocols
Shoring up persistent applications
SIGMOD '94 Proceedings of the 1994 ACM SIGMOD international conference on Management of data
Hierarchical packet fair queueing algorithms
IEEE/ACM Transactions on Networking (TON)
Continuously adaptive continuous queries over streams
Proceedings of the 2002 ACM SIGMOD international conference on Management of data
Computers and Intractability: A Guide to the Theory of NP-Completeness
Computers and Intractability: A Guide to the Theory of NP-Completeness
Diamond: A Storage Architecture for Early Discard in Interactive Search
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
IrisNet: An Architecture for a Worldwide Sensor Web
IEEE Pervasive Computing
IEEE Communications Magazine
Support for effective use of multiple video streams in security
Proceedings of the 4th ACM international workshop on Video surveillance and sensor networks
Effects of presenting geographic context on tracking activity between cameras
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
DOTS: support for effective video surveillance
Proceedings of the 15th international conference on Multimedia
quFiles: The right file at the right time
ACM Transactions on Storage (TOS)
quFiles: the right file at the right time
FAST'10 Proceedings of the 8th USENIX conference on File and storage technologies
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Imaging sensors are inherently high bandwidth devices, and applications which store image data often encounter disk or memory limits. Commonly, upon reaching such a limit, storage systems will cease sampling or overwrite existing data in an oldest-first fashion. For most applications, neither approach is optimal. We introduce a flexible, policy-based, on-line algorithm for maximizing the application-specific value of data retained on a read/write/erase storage medium such as a hard disk or flash card. Our algorithm supports both selective discard of image frames, and selective lossless and lossy transformations which may retain information valuable to an application while reducing data storage requirements. We demonstrate that our multi-fidelity storage system can fairly manage a limited data storage medium on behalf of one or more image storage applications.