A decomposition and guided simulation methodology for large-scale system design: A study in QoS-capable intranets with fixed and mobile components
Integrated 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.
Information Technology and Cybersecurity
Decomposition, Guidance mechanisms, Guided simulation, Large-scale infrastructure design, Metaheuristics, Multiple-criteria decision analysis, Quality of service, Simulation optimization
Bhattacharjee, Sudip, Hong Zhang, Ram Ramesh, and Dee H. Andrews. "A Decomposition and Guided Simulation Methodology for Large-Scale System Design: A Study in QoS-Capable Intranets with Fixed and Mobile Components." INFORMS Journal on Computing 19, no. 3 (2007): 429-442.
INFORMS Journal on Computing