Quantitative system performance: computer system analysis using queueing network models
Quantitative system performance: computer system analysis using queueing network models
Obtaining High Performance for Storage Outsourcing
FAST '02 Proceedings of the Conference on File and Storage Technologies
Myriad: Cost-Effective Disaster Tolerance
FAST '02 Proceedings of the Conference on File and Storage Technologies
Performance evaluation of distributed iSCSI RAID
SNAPI '03 Proceedings of the international workshop on Storage network architecture and parallel I/Os
Performance study of iSCSI-based storage subsystems
IEEE Communications Magazine
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Previous work on performance of network storage system has been mostly qualitative. This paper proposes a quantitative analytical method based closed queueing networks in order to analyze the performance bounds of IP-SWAN (Storage Wide Area Network) based on distributed Network Software Raid (NS-RAID). Experimental results show that testing results are within the bounds predicted by the performance analysis model and the bounds reflect the dynamic trend of the actual testing performance. Furthermore, the bottleneck and the potential bottleneck that affect the IP-SWAN performance can be derived from the performance analysis model. Meanwhile the model provides us the criteria for distinguishing the key performance factors and non-key performance factors.