Abstract

A high-level technology is revealed that can effectively convert any distributed system into a globally programmable machine capable of operating without central resources and self-recovering from indiscriminate damages. Integral mission scenarios in Distributed Scenario Language (DSL) can be injected from any point, runtime covering & grasping the whole system or its parts, setting operational infrastructures, and orienting local and global behavior in the way needed. Many operational scenarios can be simultaneously injected into this spatial machine from different points, cooperating or competing over the shared distributed knowledge as overlapping fields of solutions. Distributed DSL interpreter organization and benefits of using this technology for integrated air and missile defense are discussed along with programming examples in this and other fields.

Highlights

  • The developed Spatial Grasp Technology (SGT) and its underlying Distributed Scenario Language (DSL) with details of their distributed implementation in networked systems are briefed in this paper along with application examples related to distributed air and missile defense

  • The simulation in DSL shows that highly organized distributed systems with global consciousness and will, which can be effectively provided by SGT, could believably prevent and avoid such conflicts in real time

  • We have described a novel ideology and the supporting Spatial Grasp Technology (SGT) for high-level management of distributed dynamic systems that can be useful for advanced air and missile defense

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Summary

Introduction

Air and missile defense capabilities are growing globally and at a fast rate [1,2]. These systems are usually distributed on large territories, consist of many interacting elements (from sensors to shooters, see some related snapshots in Figure 1), and are expected to work in complex conditions to effectively protect national and international infrastructures and withstand unpredictable events

Traditional Path in System Development
Grasping Solutions with Spatial Waves
Distributed Scenario Language
DSL Spatial Variables
Distributed Track System
DSL Interpreter as a Universal Spatial Machine
Elementary Programming Examples
Finding Shortest Path in Parallel
Analyzing Distributed Structures
Collective Robotics Examples in DSL
Explicit Behavior Level
Distributed Tracking of Moving Objects
Directed Energy Systems
Global Awareness and Parallel Impact of Targets
Europe-Related Missile Defense Scenarios
High-resolution Radar
Brilliant Pebbles
Multiple Kill Vehicles
Scenarios of Possible Nuclear Conflicts
Emergency Management
Distributed Avionics
Sensor Networks
Infrastructure Protection
Advanced Command and Control
10. Some Historical Notes
11. Conclusions
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