An extensible framework for autonomic analysis and improvement of distributed deployment architectures

Abstract

A distributed software system's deployment architecture can have a significant impact on the system's properties, which depend on various system parameters, such as network bandwidth, frequencies of software component interactions, and so on. Recent studies have shown that the quality of deployment architectures can be improved significantly via active system monitoring, efficient estimation of the improved deployment architecture, and system redeployment. However, the lack of a common framework for improving a system's deployment architecture has resulted in ad hoc solutions. In this paper, we present an extensible framework that guides the design and development of solutions to this problem, enables the extension and reuse of the solutions, and facilitates autonomic analysis and redeployment of a system's deployment architecture.