SPIKE: best practice generation for storage area networks
SYSML'07 Proceedings of the 2nd USENIX workshop on Tackling computer systems problems with machine learning techniques
Towards a middleware for configuring large-scale storage infrastructures
Proceedings of the 7th International Workshop on Middleware for Grids, Clouds and e-Science
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Historically, storage has been directly connected toservers for fast local access and easy configuration. Inrecent years, storage area networks (SANs) have definedan alternative storage paradigm that allows storage to beshared among servers using fast interconnects. One of thekey challenges of SAN management is the large numberof configuration problems that are encountered in a typicalSAN deployment. These configuration problems can beaddressed by SAN management software. However, hardcodingthe SAN configuration rules into the managementsoftware is not a viable option since it is not possible toeasily modify or replace old configuration rules and specifynew policies and guidelines. In this paper, we proposea novel policy-based SAN configuration validation systemthat can be used to specify, store, and evaluate configurationpolicies for SANs. We also introduce five new operatorsfor collection policies that are useful for evaluating awide variety of practical SAN configuration policies foundin practice. The policy-based SAN configuration checkingapproach proposed in this paper is discussed withinthe context of device interoperability constraints. However,this approach is extensible as it can also be used to enforceperformance, reliability, and security-related configurationconstraints.