Minerva: An automated resource provisioning tool for large-scale storage systems
ACM Transactions on Computer Systems (TOCS)
The Ponder Policy Specification Language
POLICY '01 Proceedings of the International Workshop on Policies for Distributed Systems and Networks
Modeling and Simulation of Storage Area Networks
MASCOTS '00 Proceedings of the 8th International Symposium on Modeling, Analysis and Simulation of Computer and Telecommunication Systems
Using Event Calculus to Formalise Policy Specification and Analysis
POLICY '03 Proceedings of the 4th IEEE International Workshop on Policies for Distributed Systems and Networks
An Adaptive Policy-Based Framework for Network Services Management
Journal of Network and Systems Management
Issues and Challenges in the Performance Analysis of Real Disk Arrays
IEEE Transactions on Parallel and Distributed Systems
Storage device performance prediction with CART models
Proceedings of the joint international conference on Measurement and modeling of computer systems
A Framework for Evaluating Storage System Dependability
DSN '04 Proceedings of the 2004 International Conference on Dependable Systems and Networks
Hippodrome: Running Circles Around Storage Administration
FAST '02 Proceedings of the 1st USENIX Conference on File and Storage Technologies
Appia: Automatic Storage Area Network Fabric Design
FAST '02 Proceedings of the 1st USENIX Conference on File and Storage Technologies
FAST '04 Proceedings of the 3rd USENIX Conference on File and Storage Technologies
OSDI'04 Proceedings of the 6th conference on Symposium on Opearting Systems Design & Implementation - Volume 6
Model-based resource provisioning in a web service utility
USITS'03 Proceedings of the 4th conference on USENIX Symposium on Internet Technologies and Systems - Volume 4
Appia: automatic storage area network fabric design
FAST'02 Proceedings of the 1st USENIX conference on File and storage technologies
Evolution of storage management: transforming raw data into information
IBM Journal of Research and Development
Assessing operational impact in enterprise systems by mining usage patterns
DSOM'07 Proceedings of the Distributed systems: operations and management 18th IFIP/IEEE international conference on Managing virtualization of networks and services
Towards reliable storage systems
Towards reliable storage systems
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Currently, the fields of impact analysis and policy based management are two important storage management topics that are not being treated in an integrated manner. Policy-based storage management is being adopted by most storage vendors because it lets system administrators specify high level policies and moves the complexity of enforcing these policies to the underlying management software. Similarly, proactive impact analysis is becoming an important aspect of storage management because system administrators want to assess the impact of making a change before actually making it. Impact analysis is increasingly becoming a complex task when one is dealing with a large number of devices and workloads. Adding the policy dimension to impact analysis (that is, what policies are being violated due to a particular action) makes this problem even more complex. In this paper we describe a new framework and a set of optimization techniques that combine the fields of impact analysis and policy management. In this framework system administrators define policies for performance, interoperability, security, availability, and then proactively assess the impact of desired changes on both the system observables and policies. Additionally, the proposed optimizations help to reduce the amount of data and the number of policies that need to be evaluated. This improves the response time of impact analysis operations. Finally, we also propose a new policy classification scheme that classifies policies based on the algorithms that can be used to optimize their evaluation. Such a classification is useful in order to efficiently evaluate user-defined policies. We present an experimental study that quantitatively analyzes the framework and algorithms on real life storage area network policies. The algorithms presented in this paper can be leveraged by existing impact analysis and policy engine tools.