Active Storage for Large-Scale Data Mining and Multimedia
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
SOSP '03 Proceedings of the nineteenth ACM symposium on Operating systems principles
Diamond: A Storage Architecture for Early Discard in Interactive Search
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
IEEE Communications Magazine
BlobSeer: how to enable efficient versioning for large object storage under heavy access concurrency
Proceedings of the 2009 EDBT/ICDT Workshops
High throughput data-compression for cloud storage
Globe'10 Proceedings of the Third international conference on Data management in grid and peer-to-peer systems
BlobSeer: Next-generation data management for large scale infrastructures
Journal of Parallel and Distributed Computing
On the benefits of transparent compression for cost-effective cloud data storage
Transactions on large-scale data- and knowledge-centered systems III
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Applications that create and consume unstructured data have grown both in scale of storage requirements and complexity of search primitives. We consider two such applications: exhaustive search and integration of structured and unstructured data. Current block-based storage systems are either incapable or inefficient to address the challenges bought forth by the above applications. We propose a storage framework to efficiently store and search unstructured and structured data while controlling storage management costs. Experimental results based on our prototype show that the proposed system can provide impressive performance and feature benefits.