Complex Networks and Systems. Program Manager AFOSR/RSL Air Force Research Laboratory
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1 Complex s and Systems Dr Robert J. Bonneau Program Manager AFOSR/RSL Air Force Research Laboratory 1
2 Complex s Roadmap Complex networks uses the results of the mathematical quantification of critical information delivery to assure, manage, predict, and design Air Force networks Local Research: Coding that assures information delivery and security Management Research: protocol to maximize information flow Global Research: Predict network performance and design robustness Dynamic, Heterogeneous, Air Force Unified Assured Design Critical Information Raw Data Management Research Manage Information Flow Local Research Assure Critical Information Delivery Guaranteed Delivery Of Time Critical Information Mathematical Characterization of Communications s Diverse Types of s (Fundamental Principles) Global Research Predict Performance 2
3 Unified Assured Architecture Current networks are managed with multiple protocols depending on their taxonomy Air Force networks, particularly Airborne s are heterogeneous A unified network approach should adapt to the conditions and provide design principles Design Principles According To Constraints Less: Disruption Tolerant, Latency More: Information Loss Under Interference, Observable/Controllable Less: Information Loss Under Interference, Observable/Controllable More: Disruption Tolerant, Latency Adapt According To Measurements 3
4 Fundamental Principles Units of information transfer do not have to be packets generalizing this approach to other scientific areas allows generalized network design and analysis within constraints Data Packet Wireless - Taking this approach can lead to an integrated strategy of stable design formulation Basic Information Unit Scales Modulation Unit Hardware/ Software Register/ Variable Social Words Biological DNA Frequency (1/information timescale) Content t (local) Deterministic Content Design Principles Heterogeneous Content Random Content Packet Groups Waveform Ram/ Subroutine Phrases Protein Synth. Policy/ Protocol (management) Deterministic Protocol Heterogeneous Protocol Random Protocol Packet Blocks Signal Array Virtual Mem./ Program News Reports/ Blogs Cell Function Communications General s s Structure (global) Design Excluded Properties Deterministic Heterogeneous Random Deterministic Heterogeneous Random Distribution Design Included Properties Time Evolution (Global Properties) Not Resourced, Not Stable, Not Secure Resourced, Stable, Secure 4
5 Comprehensive Systems Modeling - Model heterogeneous distributed systems using unified, modular, composable and scalable mathematical framework from previous measurement and system specification - Use new statistical, algebraic, and geometric representations and theory for modularized representations and composable into a modeling framework Applications Physical Environ. Resource Const. Processing Hardware System of Interest Resource Policy Security Framework Database Arch. Operating System Prog. Languages Design Tools Mathematical Models Statistical, Algebraic, Geometric, Unified Representation Modular, Composable, Scalable Model of Unified System 5
6 Measurement-Based System Verification - Verify the properties of a given unified system through measurement of a limited set of parameters and calculate system risk of not meeting mission requirements - Assess risk by distance between properties of desired d representation ti (model) and measured properties - Incorporate risk of sparse measurement Measured Properties Requirements Measurement Low Risk Desirable Properties: (Example) Robustness to Disruption Desired Properties Risk Assessment Medium Risk Performance Verification High Risk Undesirable Properties: (Examples) Latency, Interference, Computational Overhead 6
7 System Design Trade-space - Define general application architectural and policy design principles through unified assessment of system operating risk - Apply to existing architectures through policy implementation System Operating Trade-space Architecturally Excluded Modalities (high mission risk) Architecturally Included Modalities (low mission risk) 7
8 Systems Engineering Framework - Measure and Model, for Design using a comprehensive, modular, compositional, and scalable framework - Models inform measurement based verification of system properties - Strategy enables designs to quantifiably meet mission performance objectives in heterogeneous dynamic systems Comprehensive System Modeling System Design Performance Objectives System Measurement System Performance Trade-space Verification Of System Performance 8
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