A Decomposition and Guided Simulation Methodology for Large-Scale System Design: A Study in QoS-Capable Intranets with Fixed and Mobile Components

Abstract

I ntegrated design of a large-scale distributed system is challenging due to multiple conflicting design objectives, a large number of stochastic parameters, and a combinatorially large design space. Current approaches using decomposition and analysis of isolated subproblems could lead to suboptimization. We develop a framework for integrated design that combines analytical modeling with embedded simulations for large-scale infrastructure planning. The framework uses problem decomposition and a guided simulation methodology, which uses concepts of extrinsic and intrinsic guidance. These are integrated in a comprehensive framework and used to interlink the subproblems and guide the design process towards achieving overall objectives concurrently. A case study demonstrates viability of the framework. The methodology is efficient and flexible, and can be adapted for other problems where resource sharing and integrated system design is critical.