Towards a High-Level Machine Configuration System
LISA '94 Proceedings of the 8th USENIX conference on System administration
TemplateTree II: The Post-Installation Setup Tool
LISA '01 Proceedings of the 15th USENIX conference on System administration
ISconf: Theory, Practice, and Beyond
LISA '03 Proceedings of the 17th USENIX conference on System administration
Virtual Appliances for Deploying and Maintaining Software
LISA '03 Proceedings of the 17th USENIX conference on System administration
Preventing Wheel Reinvention: The psgconf System Configuration Framework
LISA '03 Proceedings of the 17th USENIX conference on System administration
SmartFrog Meets LCFG: Autonomous Reconfiguration with Central Policy Control
LISA '03 Proceedings of the 17th USENIX conference on System administration
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Large scale Linux configuration with LCFG
ALS'00 Proceedings of the 4th annual Linux Showcase & Conference - Volume 4
Planning-based configuration and management of distributed systems
IM'09 Proceedings of the 11th IFIP/IEEE international conference on Symposium on Integrated Network Management
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Efficiently installing and configuring large sets of computer systems is an important concern for system and cluster administrators. Current solutions usually follow one of the two approaches: an image- based install or a metadata-based custom install. Both approaches limit the opportunities for optimizing the installation time by coupling the system specification with the installation technique and ignoring the relationships between configurations over time (as they evolve with patches and new packages).The Adaptable Installation System (AIS) is a new model and implementation that attempts to address these shortcomings by taking a hybrid approach to client system installation. As in the metadata- based approach, it uses descriptors to express what the final system should look like in terms of composition and configuration. At the same time, it uses imaging for part of the client re-installation to achieve speed. In this paper we present the design and implementation of AIS along with details on the algorithm that builds images and performance results of running the prototype system on a set of RedHat based machines.