Reducing the Complexity of Application Deployment in Large Data
Tamar Eilam, Ph.D.
IBM T.J. Watson Research Center
Research Staff Member
Tuesday, October 4, 2005
Sage 3510 - 4:00 p.m. to 5:00 p.m.
Refreshments at 3:30 p.m.
The deployment and configuration of distributed applications is a
human intensive and highly complex process that poses significant challenges to data center operators. The process involves many cross-cutting concerns such as connectivity, performance, and security requirements, as well as resource availability, policies and best practices. These interdependencies represent a significant source of complexity, cost, and risk in data center management.
In this paper we address this problem using a new approach that leverages concepts from the Model-Driven Architecture research domain. We describe a prototype application deployment automation system based on model transformation techniques. We show how model transformation techniques can replace the manual process
of writing and adapting scripts and workflows, reduce the deployment complexity guarantee configuration integrity and consistency, and allow for a separation of concerns.
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Last updated: September 16, 2005