The Vision of Autonomic Computing
Computer
zFS " A Scalable Distributed File System Using Object Disks
MSS '03 Proceedings of the 20 th IEEE/11 th NASA Goddard Conference on Mass Storage Systems and Technologies (MSS'03)
MS-I/O: A Distributed Multi-Storage I/O System
CCGRID '02 Proceedings of the 2nd IEEE/ACM International Symposium on Cluster Computing and the Grid
Issues and Challenges in the Performance Analysis of Real Disk Arrays
IEEE Transactions on Parallel and Distributed Systems
FAB: building distributed enterprise disk arrays from commodity components
ASPLOS XI Proceedings of the 11th international conference on Architectural support for programming languages and operating systems
Mass Storage System Performance Prediction Using a Trace-Driven Simulator
MSST '05 Proceedings of the 22nd IEEE / 13th NASA Goddard Conference on Mass Storage Systems and Technologies
File Classification in Self-* Storage Systems
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
RepStore: A Self-Managing and Self-Tuning Storage Backend with Smart Bricks
ICAC '04 Proceedings of the First International Conference on Autonomic Computing
Cooperation model of a multiagent parallel file system for clusters
CCGRID '04 Proceedings of the 2004 IEEE International Symposium on Cluster Computing and the Grid
IEEE Communications Magazine
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Cooperation between storage devices is an important aspect of autonomic storage system. By employing multiple distributed storage resources, storage system can greatly improve its performance. In this paper, agent-based methodology is introduced to build an autonomic storage system infrastructure. To select appropriate storage devices, queuing models are established to estimate the future storage device performance. A replica selection method and a data allocation algorithm are presented to gain an aggregate transfer rate according to the predicted performance. The results show that our models are useful for evaluating the mean response time of storage devices.