A method for on-line reorganization of a database
IBM Systems Journal
A case for intelligent disks (IDISKs)
ACM SIGMOD Record
Active disks: programming model, algorithms and evaluation
Proceedings of the eighth international conference on Architectural support for programming languages and operating systems
A dynamic database reorganization algorithm
ACM Transactions on Database Systems (TODS)
Optimal policy for batch operations: backup, checkpointing, reorganization, and updating
ACM Transactions on Database Systems (TODS)
Optimal reorganization of distributed space disk files
Communications of the ACM
Optimum data base reorganization points
Communications of the ACM
Proceedings of the 2002 ACM symposium on Applied computing
Active Storage for Large-Scale Data Mining and Multimedia
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
Awarded Best Student Paper! -- A Framework for Building Unobtrusive Disk Maintenance Applications
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
Logical Partitions on the IBM Powerpc: A Guide to Working With Lpar on Power5 for IBM I5 Servers
Logical Partitions on the IBM Powerpc: A Guide to Working With Lpar on Power5 for IBM I5 Servers
Towards higher disk head utilization: extracting free bandwidth from busy disk drives
OSDI'00 Proceedings of the 4th conference on Symposium on Operating System Design & Implementation - Volume 4
Online Monitoring of Database Structural Deterioration
ICAC '07 Proceedings of the Fourth International Conference on Autonomic Computing
CASSM: a cellular system for very large data bases
VLDB '75 Proceedings of the 1st International Conference on Very Large Data Bases
A performance evaluation of data base machine architectures (invited paper)
VLDB '81 Proceedings of the seventh international conference on Very Large Data Bases - Volume 7
IEEE Communications Magazine
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So far, the core component of the IT system was absolutely a server, and the storage was recognized as its peripheral. The recent evolution of device and network technologies has enabled storage consolidation, by which all the data and its related simple software codes can be placed in one place. Storage centric designs are being deployed into many enterprise systems. The role of the storage should be reconsidered. This paper presents activities of the Storage Fusion Project, a five-year research and development project. Storage Fusion is an idea of elegant deep collaboration between storage and database servers. Two substantial works are presented in this paper. First, the exploitation of query execution plans enables dynamically informed prefetching, accordingly boosting ad-hoc queries significantly. Second, the idea of putting autonomic database reorganization into the storage has the potential benefit of relieving the management burdens of database structural deterioration.