Parallel database systems: the future of high performance database systems
Communications of the ACM
On the versatility of parallel sorting by regular sampling
Parallel Computing
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
Network attached storage architecture
Communications of the ACM
Transaction Processing: Concepts and Techniques
Transaction Processing: Concepts and Techniques
Parallel Mining of Association Rules
IEEE Transactions on Knowledge and Data Engineering
Scalable Parallel Data Mining for Association Rules
IEEE Transactions on Knowledge and Data Engineering
Design and Evaluation of Smart Disk Architecture for DSS Commercial Workloads
ICPP '00 Proceedings of the Proceedings of the 2000 International Conference on Parallel Processing
Projecting the Performance of Decision Support Workloads on Systems
Projecting the Performance of Decision Support Workloads on Systems
An efficient parallel and distributed algorithm for counting frequent sets
VECPAR'02 Proceedings of the 5th international conference on High performance computing for computational science
Energy savings through embedded processing on disk system
ASP-DAC '06 Proceedings of the 2006 Asia and South Pacific Design Automation Conference
Data deduplication in a hybrid architecture for improving write performance
Proceedings of the 3rd International Workshop on Runtime and Operating Systems for Supercomputers
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Smart disks, a type of processor-embedded active I/O devices, with their on-disk memory and network interface controller, can be viewed as processing elements with attached storage. The growing size and access patterns of today's large I/O-intensive applications require architectures whose processing power scales with the storage capacity. We evaluate a distributed smart disk architecture with representative I/O-intensive workloads including TPC-H queries, association rule mining, data clustering, and 2-D fast Fourier transform applications to study the proposed architecture.