Publications

Abstract not provided.

Our society is increasingly reliant on systems and interoperating collections of systems, known as systems of systems (SoS). These SoS are often subject to changing missions (e.g., nation- building, arms-control treaties), threats (e.g., asymmetric warfare, terrorism), natural environments (e.g., climate, weather, natural disasters) and budgets. How well can SoS adapt to these types of dynamic conditions? This report details the results of a three year Laboratory Directed Research and Development (LDRD) project aimed at developing metrics and methodologies for quantifying the adaptability of systems and SoS. Work products include: derivation of a set of adaptability metrics, a method for combining the metrics into a system of systems adaptability index (SoSAI) used to compare adaptability of SoS designs, development of a prototype dynamic SoS (proto-dSoS) simulation environment which provides the ability to investigate the validity of the adaptability metric set, and two test cases that evaluate the usefulness of a subset of the adaptability metrics and SoSAI for distinguishing good from poor adaptability in a SoS. Intellectual property results include three patents pending: A Method For Quantifying Relative System Adaptability, Method for Evaluating System Performance, and A Method for Determining Systems Re-Tasking.

Abstract not provided.

The complexity of net-centric system of systems (SoS) being fielded today has the military leadership increasingly dependent on modeling and simulation (M&S) tools for evaluating performance. Several types of M&S tools are required to model different aspects of military systems, yet these tools often have different computational fidelities in terms of time and scale. Current approaches using direct information transfer between M&S tools, such as High Level Architecture (HLA) and MATREX, do not provide the mechanisms for disparate tools to make direct use of each other's information [1], [2]. Thus, many military SoS analyses assume perfect communications, an unrealistic assumption that leaves a gap for conducting more comprehensive analyses for large-scale, net-centric SoS problems. This research addresses this gap by developing general purpose methodologies to bridge the gap between diverse M&S tools resulting in a capability that enables military decision makers to evaluate comms system performance effects at a SoS level [3]. This paper discusses the methodology, including parameter selection, data generation, surrogate modeling and SoS simulation results. © 2012 IEEE.

Abstract not provided.

Abstract not provided.