Operating systems (2nd ed.): design and implementation
Operating systems (2nd ed.): design and implementation
File server scaling with network-attached secure disks
SIGMETRICS '97 Proceedings of the 1997 ACM SIGMETRICS international conference on Measurement and modeling of computer systems
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
Automatic Deployment of Application-Specific Metadata and Code in MOCHA
EDBT '00 Proceedings of the 7th International Conference on Extending Database Technology: Advances in Database Technology
Active Storage for Large-Scale Data Mining and Multimedia
VLDB '98 Proceedings of the 24rd International Conference on Very Large Data Bases
An Evaluation of Architectural Alternatives for Rapidly Growing Datasets: Active Disks, Clusters, SMPs
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
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There is an increasing demand for storage capacity and storage throughput, driven largely by new data types such as video data and satellite images as well as by the growing use of the Internet and the web that generate and transmit rapidly evolving datasets. Thus, there is a need for storage architectures that scale the processing power with the growing size of the datasets. In this paper, we present the SMAS system that employs network attached disks with processing capabilities. In the SMAS system, users can deploy and execute code at the disk. Application code is written in a stream-based language that enforces code security and bounds the code's memory requirements. The SMAS operating system at the disk provides basic support for process scheduling and memory management. We present an initial implementation of the system and report performance results that validate our approach for data-intensive applications.