Conference Paper

Model Driven Provisioning: Bridging the Gap Between Declarative Object Models and Procedural Provisioning Tools.

DOI: 10.1007/11925071_21 Conference: Middleware 2006, ACM/IFIP/USENIX 7th International Middleware Conference, Melbourne, Australia, November 27-December 1, 2006, Proceedings
Source: DBLP

ABSTRACT Today’s enterprise data centers support thousands of mission-critical business applications composed of multiple distributed
heterogeneous components. Application components exhibit complex dependencies on the configuration of multiple data center
network, middleware, and related application resources. Applications are also associated with extended life-cycles, migrating
from development to testing, staging and production environments, with frequent roll-backs. Maintaining end-to-end data center
operational integrity and quality requires careful planning of (1) application deployment design, (2) resource selection,
(3) provisioning operation selection, parameterization and ordering, and (4) provisioning operation execution. Current data
center management products are focused on workflow-based automation of the deployment processes. Workflows are of limited
value because they hard-code many aspects of the process, and are thus sensitive to topology changes. An emerging and promising
class of model-based tools is providing new methods for designing detailed deployment topologies based on a set of requirements
and constraints. In this paper we describe an approach to bridging the gap between generated “desired state” models and the
elemental procedural provisioning operations supported by data center resources. In our approach, we represent the current
and desired state of the data center using object models. We use AI planning to automatically generate workflows that bring
the data center from its current state to the desired state. We discuss our optimizations to Partial Order Planning algorithms
for the provisioning domain. We validated our approach by developing and integrating a prototype with a state of the art provisioning
product. We also present initial results of a performance study.

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